Load Data from X to Supabase Using dlt in Python
tip
We will be using the dlt PostgreSQL destination to connect to Supabase. You can get the connection string for your Supabase database as described in the Supabase Docs.
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Loading data from X, formerly known as Twitter, to Supabase using the open-source Python library dlt is a streamlined process. X is a social networking service with an API that provides programmatic access to core elements such as Posts, Direct Messages, Spaces, Lists, users, and more. Supabase is an open-source alternative to Firebase, offering a Postgres database, Authentication, instant APIs, Edge Functions, Realtime subscriptions, Storage, and Vector embeddings. By leveraging dlt, you can efficiently extract data from X and load it into Supabase, taking advantage of its powerful features. More information on X can be found at https://www.x.com/.
dlt Key Features
- Pipeline Metadata:
dltpipelines leverage metadata to provide governance capabilities. This metadata includes load IDs, which consist of a timestamp and pipeline name. Load IDs enable incremental transformations and data vaulting by tracking data loads and facilitating data lineage and traceability. Read more - Schema Enforcement and Curation:
dltempowers users to enforce and curate schemas, ensuring data consistency and quality. Schemas define the structure of normalized data and guide the processing and loading of data. Read more - Schema Evolution:
dltenables proactive governance by alerting users to schema changes. When modifications occur in the source data’s schema,dltnotifies stakeholders, allowing them to take necessary actions. Read more - Scaling and Finetuning:
dltoffers several mechanisms and configuration options to scale up and finetune pipelines, such as running extraction, normalization, and load in parallel, and using thread pools and async execution. Read more - How
dltWorks:dltautomatically turns JSON returned by any source (e.g., an API) into a live dataset stored in the destination of your choice (e.g., Google BigQuery). It does this by extracting, normalizing, and loading the data. Read more
Getting started with your pipeline locally
dlt-init-openapi0. Prerequisites
dlt and dlt-init-openapi requires Python 3.9 or higher. Additionally, you need to have the pip package manager installed, and we recommend using a virtual environment to manage your dependencies. You can learn more about preparing your computer for dlt in our installation reference.
1. Install dlt and dlt-init-openapi
First you need to install the dlt-init-openapi cli tool.
pip install dlt-init-openapi
The dlt-init-openapi cli is a powerful generator which you can use to turn any OpenAPI spec into a dlt source to ingest data from that api. The quality of the generator source is dependent on how well the API is designed and how accurate the OpenAPI spec you are using is. You may need to make tweaks to the generated code, you can learn more about this here.
# generate pipeline
# NOTE: add_limit adds a global limit, you can remove this later
# NOTE: you will need to select which endpoints to render, you
# can just hit Enter and all will be rendered.
dlt-init-openapi x --url https://raw.githubusercontent.com/dlt-hub/openapi-specs/main/open_api_specs/Business/twitter.yaml --global-limit 2
cd x_pipeline
# install generated requirements
pip install -r requirements.txt
The last command will install the required dependencies for your pipeline. The dependencies are listed in the requirements.txt:
dlt>=0.4.12
You now have the following folder structure in your project:
x_pipeline/
├── .dlt/
│ ├── config.toml # configs for your pipeline
│ └── secrets.toml # secrets for your pipeline
├── rest_api/ # The rest api verified source
│ └── ...
├── x/
│ └── __init__.py # TODO: possibly tweak this file
├── x_pipeline.py # your main pipeline script
├── requirements.txt # dependencies for your pipeline
└── .gitignore # ignore files for git (not required)
1.1. Tweak x/__init__.py
This file contains the generated configuration of your rest_api. You can continue with the next steps and leave it as is, but you might want to come back here and make adjustments if you need your rest_api source set up in a different way. The generated file for the x source will look like this:
Click to view full file (1252 lines)
from typing import List
import dlt
from dlt.extract.source import DltResource
from rest_api import rest_api_source
from rest_api.typing import RESTAPIConfig
@dlt.source(name="x_source", max_table_nesting=2)
def x_source(
token: str = dlt.secrets.value,
base_url: str = dlt.config.value,
) -> List[DltResource]:
# source configuration
source_config: RESTAPIConfig = {
"client": {
"base_url": base_url,
"auth": {
"type": "bearer",
"token": token,
},
},
"resources":
[
# Returns recent Compliance Jobs for a given job type and optional job status
{
"name": "list_batch_compliance_jobs",
"table_name": "compliance_job",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/compliance/jobs",
"params": {
"type": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "status": "OPTIONAL_CONFIG",
# "compliance_job.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns DM Events for a DM Conversation
{
"name": "get_dm_conversations_with_participant_id_dm_events",
"table_name": "dm_event",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/dm_conversations/with/{participant_id}/dm_events",
"params": {
"participant_id": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "event_types": "['MessageCreate', 'ParticipantsLeave', 'ParticipantsJoin']",
# "dm_event.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns DM Events for a DM Conversation
{
"name": "get_dm_conversations_id_dm_events",
"table_name": "dm_event",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/dm_conversations/{id}/dm_events",
"params": {
"id": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "event_types": "['MessageCreate', 'ParticipantsLeave', 'ParticipantsJoin']",
# "dm_event.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns recent DM Events across DM conversations
{
"name": "get_dm_events",
"table_name": "dm_event",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/dm_events",
"params": {
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "event_types": "['MessageCreate', 'ParticipantsLeave', 'ParticipantsJoin']",
# "dm_event.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a single Compliance Job by ID
{
"name": "get_batch_compliance_job",
"table_name": "get_2_compliance_jobs_id_response",
"endpoint": {
"data_selector": "$",
"path": "/2/compliance/jobs/{id}",
"params": {
"id": {
"type": "resolve",
"resource": "list_batch_compliance_jobs",
"field": "id",
},
# the parameters below can optionally be configured
# "compliance_job.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a List.
{
"name": "list_id_get",
"table_name": "get_2_lists_id_response",
"endpoint": {
"data_selector": "$",
"path": "/2/lists/{id}",
"params": {
"id": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "list.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a variety of information about the Space specified by the requested ID
{
"name": "find_space_by_id",
"table_name": "get_2_spaces_id_response",
"endpoint": {
"data_selector": "$",
"path": "/2/spaces/{id}",
"params": {
"id": {
"type": "resolve",
"resource": "find_spaces_by_ids",
"field": "id",
},
# the parameters below can optionally be configured
# "space.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "topic.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a variety of information about the Tweet specified by the requested ID.
{
"name": "find_tweet_by_id",
"table_name": "get_2_tweets_id_response",
"endpoint": {
"data_selector": "$",
"path": "/2/tweets/{id}",
"params": {
"id": {
"type": "resolve",
"resource": "find_tweets_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# This endpoint returns information about a User. Specify User by username.
{
"name": "find_user_by_username",
"table_name": "get_2_users_by_username_username_response",
"endpoint": {
"data_selector": "$",
"path": "/2/users/by/username/{username}",
"params": {
"username": {
"type": "resolve",
"resource": "find_users_by_username",
"field": "username",
},
# the parameters below can optionally be configured
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# This endpoint returns information about a User. Specify User by ID.
{
"name": "find_user_by_id",
"table_name": "get_2_users_id_response",
"endpoint": {
"data_selector": "$",
"path": "/2/users/{id}",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a User's followed Lists.
{
"name": "user_followed_lists",
"table_name": "list",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/followed_lists",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "list.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Get a User's List Memberships.
{
"name": "get_user_list_memberships",
"table_name": "list",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/list_memberships",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "list.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Get a User's Owned Lists.
{
"name": "list_user_owned_lists",
"table_name": "list",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/owned_lists",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "list.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Get a User's Pinned Lists.
{
"name": "list_user_pinned_lists",
"table_name": "list",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/pinned_lists",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "list.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Full OpenAPI Specification in JSON format. (See https://github.com/OAI/OpenAPI-Specification/blob/master/README.md)
{
"name": "get_open_api_spec",
"table_name": "openapus",
"endpoint": {
"data_selector": "$",
"path": "/2/openapi.json",
"paginator": "auto",
}
},
# Streams 100% of compliance data for Tweets
{
"name": "get_tweets_compliance_stream",
"table_name": "problem",
"endpoint": {
"data_selector": "errors",
"path": "/2/tweets/compliance/stream",
"params": {
"partition": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "backfill_minutes": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Streams 100% of public Tweets.
{
"name": "get_tweets_firehose_stream",
"table_name": "problem",
"endpoint": {
"data_selector": "errors",
"path": "/2/tweets/firehose/stream",
"params": {
"partition": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "backfill_minutes": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Streams 100% of labeling events applied to Tweets
{
"name": "get_tweets_label_stream",
"table_name": "problem",
"endpoint": {
"data_selector": "errors",
"path": "/2/tweets/label/stream",
"params": {
# the parameters below can optionally be configured
# "backfill_minutes": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Streams a deterministic 1% of public Tweets.
{
"name": "sample_stream",
"table_name": "problem",
"endpoint": {
"data_selector": "errors",
"path": "/2/tweets/sample/stream",
"params": {
# the parameters below can optionally be configured
# "backfill_minutes": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Streams a deterministic 10% of public Tweets.
{
"name": "get_tweets_sample_10_stream",
"table_name": "problem",
"endpoint": {
"data_selector": "errors",
"path": "/2/tweets/sample10/stream",
"params": {
"partition": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "backfill_minutes": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Streams Tweets matching the stream's active rule set.
{
"name": "search_stream",
"table_name": "problem",
"endpoint": {
"data_selector": "errors",
"path": "/2/tweets/search/stream",
"params": {
# the parameters below can optionally be configured
# "backfill_minutes": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Streams 100% of compliance data for Users
{
"name": "get_users_compliance_stream",
"table_name": "problem",
"endpoint": {
"data_selector": "errors",
"path": "/2/users/compliance/stream",
"params": {
"partition": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "backfill_minutes": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# This endpoint returns information about the requesting User.
{
"name": "find_my_user",
"table_name": "problem",
"endpoint": {
"data_selector": "errors",
"path": "/2/users/me",
"params": {
# the parameters below can optionally be configured
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns rules from a User's active rule set. Users can fetch all of their rules or a subset, specified by the provided rule ids.
{
"name": "get_rules",
"table_name": "rule",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets/search/stream/rules",
"params": {
# the parameters below can optionally be configured
# "ids": "OPTIONAL_CONFIG",
# "max_results": "1000",
# "pagination_token": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns Tweet Counts that match a search query.
{
"name": "tweet_counts_full_archive_search",
"table_name": "search_count",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets/counts/all",
"params": {
"query": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "since_id": "OPTIONAL_CONFIG",
# "until_id": "OPTIONAL_CONFIG",
# "next_token": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "granularity": "hour",
# "search_count.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns Tweet Counts from the last 7 days that match a search query.
{
"name": "tweet_counts_recent_search",
"table_name": "search_count",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets/counts/recent",
"params": {
"query": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "since_id": "OPTIONAL_CONFIG",
# "until_id": "OPTIONAL_CONFIG",
# "next_token": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "granularity": "hour",
# "search_count.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a variety of information about the Spaces specified by the requested IDs
{
"name": "find_spaces_by_ids",
"table_name": "space",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/spaces",
"params": {
"ids": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "space.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "topic.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a variety of information about the Spaces created by the provided User IDs
{
"name": "find_spaces_by_creator_ids",
"table_name": "space",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/spaces/by/creator_ids",
"params": {
"user_ids": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "space.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "topic.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns Spaces that match the provided query.
{
"name": "search_spaces",
"table_name": "space",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/spaces/search",
"params": {
"query": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "state": "all",
# "max_results": "100",
# "space.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "topic.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Tweets associated with the provided List ID.
{
"name": "lists_id_tweets",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/lists/{id}/tweets",
"params": {
"id": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Retrieves Tweets shared in the specified Space.
{
"name": "space_tweets",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/spaces/{id}/tweets",
"params": {
"id": {
"type": "resolve",
"resource": "find_spaces_by_ids",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "100",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a variety of information about the Tweet specified by the requested ID.
{
"name": "find_tweets_by_id",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets",
"params": {
"ids": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns Tweets that match a search query.
{
"name": "tweets_fullarchive_search",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets/search/all",
"params": {
"query": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "since_id": "OPTIONAL_CONFIG",
# "until_id": "OPTIONAL_CONFIG",
# "max_results": "10",
# "next_token": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "sort_order": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns Tweets from the last 7 days that match a search query.
{
"name": "tweets_recent_search",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets/search/recent",
"params": {
"query": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "since_id": "OPTIONAL_CONFIG",
# "until_id": "OPTIONAL_CONFIG",
# "max_results": "10",
# "next_token": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "sort_order": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a variety of information about each Tweet that quotes the Tweet specified by the requested ID.
{
"name": "find_tweets_that_quote_a_tweet",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets/{id}/quote_tweets",
"params": {
"id": {
"type": "resolve",
"resource": "find_tweets_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "10",
# "pagination_token": "OPTIONAL_CONFIG",
# "exclude": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns Tweet objects that have been bookmarked by the requesting User
{
"name": "get_users_id_bookmarks",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/bookmarks",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Tweets liked by the provided User ID
{
"name": "users_id_liked_tweets",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/liked_tweets",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns Tweet objects that mention username associated to the provided User ID
{
"name": "users_id_mentions",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/mentions",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "since_id": "OPTIONAL_CONFIG",
# "until_id": "OPTIONAL_CONFIG",
# "max_results": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns Tweet objects that appears in the provided User ID's home timeline
{
"name": "users_id_timeline",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/timelines/reverse_chronological",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "since_id": "OPTIONAL_CONFIG",
# "until_id": "OPTIONAL_CONFIG",
# "max_results": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "exclude": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Tweets authored by the provided User ID
{
"name": "users_id_tweets",
"table_name": "tweet",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/tweets",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "since_id": "OPTIONAL_CONFIG",
# "until_id": "OPTIONAL_CONFIG",
# "max_results": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "exclude": "OPTIONAL_CONFIG",
# "start_time": "OPTIONAL_CONFIG",
# "end_time": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "media.fields": "OPTIONAL_CONFIG",
# "poll.fields": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "place.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Users that follow a List by the provided List ID
{
"name": "list_get_followers",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/lists/{id}/followers",
"params": {
"id": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Users that are members of a List by the provided List ID.
{
"name": "list_get_members",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/lists/{id}/members",
"params": {
"id": "FILL_ME_IN", # TODO: fill in required path parameter
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Retrieves the list of Users who purchased a ticket to the given space
{
"name": "space_buyers",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/spaces/{id}/buyers",
"params": {
"id": {
"type": "resolve",
"resource": "find_spaces_by_ids",
"field": "id",
},
# the parameters below can optionally be configured
# "pagination_token": "OPTIONAL_CONFIG",
# "max_results": "100",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Users that have liked the provided Tweet ID
{
"name": "tweets_id_liking_users",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets/{id}/liking_users",
"params": {
"id": {
"type": "resolve",
"resource": "find_tweets_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Users that have retweeted the provided Tweet ID
{
"name": "tweets_id_retweeting_users",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/tweets/{id}/retweeted_by",
"params": {
"id": {
"type": "resolve",
"resource": "find_tweets_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# This endpoint returns information about Users. Specify Users by their ID.
{
"name": "find_users_by_id",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users",
"params": {
"ids": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# This endpoint returns information about Users. Specify Users by their username.
{
"name": "find_users_by_username",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/by",
"params": {
"usernames": "FILL_ME_IN", # TODO: fill in required query parameter
# the parameters below can optionally be configured
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Users that are blocked by the provided User ID
{
"name": "users_id_blocking",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/blocking",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Users who are followers of the specified User ID.
{
"name": "users_id_followers",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/followers",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Users that are being followed by the provided User ID
{
"name": "users_id_following",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/following",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "OPTIONAL_CONFIG",
# "pagination_token": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
# Returns a list of Users that are muted by the provided User ID
{
"name": "users_id_muting",
"table_name": "user",
"primary_key": "id",
"write_disposition": "merge",
"endpoint": {
"data_selector": "data",
"path": "/2/users/{id}/muting",
"params": {
"id": {
"type": "resolve",
"resource": "find_users_by_id",
"field": "id",
},
# the parameters below can optionally be configured
# "max_results": "100",
# "pagination_token": "OPTIONAL_CONFIG",
# "user.fields": "OPTIONAL_CONFIG",
# "expansions": "OPTIONAL_CONFIG",
# "tweet.fields": "OPTIONAL_CONFIG",
},
"paginator": "auto",
}
},
]
}
return rest_api_source(source_config)
2. Configuring your source and destination credentials
info
dlt-init-openapi will try to detect which authentication mechanism (if any) is used by the API in question and add a placeholder in your secrets.toml.
The dlt cli will have created a .dlt directory in your project folder. This directory contains a config.toml file and a secrets.toml file that you can use to configure your pipeline. The automatically created version of these files look like this:
generated config.toml
[runtime]
log_level="INFO"
[sources.x]
# Base URL for the API
# Twitter API
base_url = "https://api.twitter.com"
generated secrets.toml
[sources.x]
# secrets for your x source
token = "FILL ME OUT" # TODO: fill in your credentials
2.1. Adjust the generated code to your usecase
Further help setting up your source and destinations
At this time, the dlt-init-openapi cli tool will always create pipelines that load to a local duckdb instance. Switching to a different destination is trivial, all you need to do is change the destination parameter in x_pipeline.py to postgres and supply the credentials as outlined in the destination doc linked below.
3. Running your pipeline for the first time
The dlt cli has also created a main pipeline script for you at x_pipeline.py, as well as a folder x that contains additional python files for your source. These files are your local copies which you can modify to fit your needs. In some cases you may find that you only need to do small changes to your pipelines or add some configurations, in other cases these files can serve as a working starting point for your code, but will need to be adjusted to do what you need them to do.
The main pipeline script will look something like this:
import dlt
from x import x_source
if __name__ == "__main__":
pipeline = dlt.pipeline(
pipeline_name="x_pipeline",
destination='duckdb',
dataset_name="x_data",
progress="log",
export_schema_path="schemas/export"
)
source = x_source()
info = pipeline.run(source)
print(info)
Provided you have set up your credentials, you can run your pipeline like a regular python script with the following command:
python x_pipeline.py
4. Inspecting your load result
You can now inspect the state of your pipeline with the dlt cli:
dlt pipeline x_pipeline info
You can also use streamlit to inspect the contents of your Supabase destination for this:
# install streamlit
pip install streamlit
# run the streamlit app for your pipeline with the dlt cli:
dlt pipeline x_pipeline show
5. Next steps to get your pipeline running in production
One of the beauties of dlt is, that we are just a plain Python library, so you can run your pipeline in any environment that supports Python >= 3.8. We have a couple of helpers and guides in our docs to get you there:
The Deploy section will show you how to deploy your pipeline to
- Deploy with GitHub Actions: Utilize GitHub Actions to automate your
dltpipeline deployment. Learn more here. - Deploy with Airflow and Google Composer: Follow this guide to deploy your
dltpipeline using Airflow and Google Composer. More details here. - Deploy with Google Cloud Functions: Use Google Cloud Functions to deploy your
dltpipeline seamlessly. Instructions can be found here. - Other Deployment Options: Explore additional deployment methods for your
dltpipelines here.
The running in production section will teach you about:
- How to Monitor your pipeline: Learn how to effectively monitor your
dltpipeline in production to ensure smooth and reliable operation. How to Monitor your pipeline - Set up alerts: Configure alerts to stay informed about the status and performance of your
dltpipeline. Set up alerts - Set up tracing: Implement tracing to gain detailed insights into the execution of your
dltpipeline, helping you diagnose and resolve issues quickly. And set up tracing
Available Sources and Resources
For this verified source the following sources and resources are available
Source X
Source X for service X provides user, tweet, list, compliance, and space data.
| Resource Name | Write Disposition | Description |
|---|---|---|
get_2_compliance_jobs_id_response | append | Retrieves details of a specific compliance job |
get_2_users_id_response | append | Retrieves details of a specific user by ID |
user | append | Contains information about a user |
rule | append | Contains information about a rule |
get_2_tweets_id_response | append | Retrieves details of a specific tweet by ID |
search_count | append | Contains search count data |
dm_event | append | Contains information about a direct message event |
problem | append | Contains information about a problem |
list | append | Contains information about a list |
get_2_users_by_username_username_response | append | Retrieves details of a specific user by username |
tweet | append | Contains information about a tweet |
openapus | append | Contains information about open API usage |
compliance_job | append | Contains information about compliance jobs |
get_2_spaces_id_response | append | Retrieves details of a specific space by ID |
get_2_lists_id_response | append | Retrieves details of a specific list by ID |
space | append | Contains information about a space |
Additional pipeline guides
- Load data from AWS S3 to AWS S3 in python with dlt
- Load data from Rest API to AlloyDB in python with dlt
- Load data from Box Platform API to Microsoft SQL Server in python with dlt
- Load data from Google Analytics to YugabyteDB in python with dlt
- Load data from Keap to Neon Serverless Postgres in python with dlt
- Load data from Soundcloud to AlloyDB in python with dlt
- Load data from Airtable to Supabase in python with dlt
- Load data from Soundcloud to Neon Serverless Postgres in python with dlt
- Load data from Soundcloud to EDB BigAnimal in python with dlt
- Load data from Soundcloud to Azure Cloud Storage in python with dlt