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Load Razorpay data to DuckDB

Build a Razorpay to DuckDB pipeline with your coding agent. One prompt scaffolds it with the dltHub AI harness, plus the Razorpay API base URL, auth, endpoints, and incremental loading.

SourceRazorpayRazorpay API Documentation | Razorpay DocsDestinationDuckDBIn-process analytical database. The default local destination for dlt pipelines.

Razorpay is a payment gateway platform that provides APIs for managing payments, customers, and other financial resources. Everything needed to build a working Razorpay → DuckDB pipeline is on this page: the API's base URL, authentication, endpoints, pagination and incremental field — plus a prompt that hands the whole job to your coding agent.


Build your Razorpay to DuckDB pipeline

Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.

Prompt
Run uvx dlthub-init@latest to build a pipeline from Razorpay to DuckDB and run it on dltHub

That scaffolds a dltHub workspace and installs the dltHub AI harness — the project rules, the secrets-management skill, and the dlt MCP server your agent needs to work safely. From there it reads the Razorpay API, proposes the endpoints to load, then writes, runs and validates the pipeline while you review rather than type. Credentials are inspected through MCP tools, so your agent never reads secrets.toml itself. How the LLM-native workflow works →

Prefer to write it yourself? Every fact the agent uses is below.


Razorpay API at a glance

Base URLhttps://api.razorpay.com/v1
Example endpointGET v1/payments
Records found atitems
Authenticationall requests require a Basic Authentication header — sent in the Authorization header, prefixed Basic
PaginationOffset-based page size via count (default 10, max 100). Pagination is achieved using a combination of 'count' and 'skip' query parameters. The API does not use cursor-based pagination.
Record idid
API referencehttps://razorpay.com/docs/api/authentication/

These values come from the Razorpay API reference — the authoritative source if anything here looks out of date.


How do I authenticate with the Razorpay API?

Razorpay uses Basic Authentication, requiring an 'Authorization' header with the value 'Basic base64token', where 'base64token' is the base64-encoded string of 'YOUR_KEY_ID:YOUR_KEY_SECRET'.

1. Get your credentials

  1. Log in to the Razorpay Dashboard. 2. Navigate to Account & Settings → API Keys (under Website and app settings). 3. Select the desired mode (Test or Live). 4. Click Generate Key. 5. Download and store your Key ID and Key Secret securely, as the Secret will not be visible again.

2. Add them to .dlt/secrets.toml

[sources.razorpay_source] razorpay_key_id = "your_key_id_here" razorpay_key_secret = "your_key_secret_here"

dlt reads this file automatically at runtime. With the harness, the setup-secrets skill prompts you for the values and never handles the raw credential in chat. For production, see setting up credentials with dlt.


What Razorpay data can I load into DuckDB?

These are the Razorpay endpoints dlt can load into DuckDB:

ResourceEndpointMethodData selectorDescription
payments/v1/paymentsGETitemsRetrieve all payments
orders/v1/ordersGETitemsRetrieve all orders
payment_links/v1/payment_linksGETitemsRetrieve all payment links
customers/v1/customersGETitemsRetrieve all customers
refunds/v1/refundsGETitemsRetrieve all refunds

How do I load only new Razorpay records?

The Razorpay API reference does not document a timestamp or sequence field for these endpoints, so there is nothing to advertise here as verified. Pick a field from the endpoints table above that increases with every write, then set it as the cursor_path.

{"name": "payments", "endpoint": { "path": "v1/payments", # Replace with a field that increases on every write. "incremental": {"cursor_path": "REPLACE_ME", "initial_value": "2024-01-01T00:00:00Z"}, }}

On the first run dlt loads everything from initial_value; on every run after that it requests only what changed and appends with write_disposition="merge" if you set a primary key. See incremental loading.


What does the generated Razorpay pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /payments and /orders from the Razorpay API into DuckDB:

import dlt from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources @dlt.source def razorpay_source(key_id=dlt.secrets.value): config: RESTAPIConfig = { "client": { "base_url": "https://api.razorpay.com/v1", "auth": {"type": "http_basic", "username": "REPLACE_ME", "password": key_id}, }, "resources": [ {"name": "payments", "endpoint": {"path": "v1/payments", "data_selector": "items"}}, {"name": "orders", "endpoint": {"path": "v1/orders", "data_selector": "items"}} ], } yield from rest_api_resources(config) def load_razorpay_to_duckdb() -> None: pipeline = dlt.pipeline( pipeline_name="razorpay_pipeline", destination="duckdb", dataset_name="razorpay_data", ) load_info = pipeline.run(razorpay_source()) print(load_info) if __name__ == "__main__": load_razorpay_to_duckdb()

Run it with python razorpay_pipeline.py. The agent iterates on this until it loads cleanly — you review and approve, rather than write it from scratch.


How do I query Razorpay data in DuckDB?

dlt creates one table per resource. Query the loaded data with Python or SQL — or ask your agent to, through the MCP server's execute_sql_query tool.

Python (pandas DataFrame):

import dlt data = dlt.pipeline("razorpay_pipeline").dataset() df = data.payments.df() print(df.head())

SQL:

SELECT * FROM razorpay_data.payments LIMIT 10;

See querying your data with dataset and exploring it in marimo notebooks.


How do I deploy the Razorpay to DuckDB pipeline in production?

The pipeline runs locally, which is ideal for prototyping and one-off analysis. When you need it on a schedule, monitored on every load, and shared with your team, deploy the same dlt code on the dltHub platform — no infrastructure to maintain. The prompt above already ends with "run it on dltHub", so your agent can take it there directly.

  • Deploy & schedule — run the pipeline as a managed job with automatic retries.
  • Monitor — observable job queues, alerting, and load metrics for every run.
  • Transform — promote raw Razorpay loads into governed, documented models.
  • Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.

Book a demo →


What other destinations can I load Razorpay data to?

dlt loads into any of these — only the destination argument changes:

DestinationExample value
PostgreSQL"postgres"
BigQuery"bigquery"
Snowflake"snowflake"
Redshift"redshift"
Databricks"databricks"
Filesystem (S3, GCS, Azure)"filesystem"

Set dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. On the dltHub platform the same pipeline runs against a managed Iceberg lakehouse. See the full destinations list.


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