Decodo Instagram Web Scraping API Python API Docs | dltHub

Decodo Instagram Web Scraping API is a service that uses GraphQL targets to scrape data from Instagram profiles, posts, and user posts, returning the data in JSON format. The REST API base URL is https://scraper-api.decodo.com/v2 and All requests require HTTP Basic authentication with a username and password..

dlt is an open-source Python library that handles authentication, pagination, and schema evolution automatically. dlthub provides AI context files that enable code assistants to generate production-ready pipelines. Install with uv pip install "dlt[workspace]" and start loading Decodo Instagram Web Scraping API data in under 10 minutes.

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What data can I load from Decodo Instagram Web Scraping API?

Here are some of the endpoints you can load from Decodo Instagram Web Scraping API:

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How do I authenticate with the Decodo Instagram Web Scraping API API?

The Decodo Instagram Web Scraping API uses HTTP Basic authentication, requiring a username and password for all requests. The Authorization header should contain the Basic token.

1. Get your credentials

The documentation does not provide explicit step-by-step instructions for obtaining API credentials (username and password) from a dashboard. Users are typically expected to have these credentials from their Decodo account registration or subscription.

2. Add them to .dlt/secrets.toml

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[sources.decodo_instagram_web_scraping_api_source]
username = "your_username_here"
password = "your_password_here"

dlt reads this automatically at runtime — never hardcode tokens in your pipeline script. For production environments, see setting up credentials with dlt for environment variable and vault-based options.

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How do I set up and run the pipeline?

Set up a virtual environment and install dlt:

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uv venv && source .venv/bin/activate
uv pip install "dlt[workspace]"

1. Install the dlt AI Workbench:

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dlt ai init --agent <your-agent> # <agent>: claude | cursor | codex

This installs project rules, a secrets management skill, appropriate ignore files, and configures the dlt MCP server for your agent. Learn more →

2. Install the rest-api-pipeline toolkit:

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dlt ai toolkit rest-api-pipeline install

This loads the skills and context about dlt the agent uses to build the pipeline iteratively, efficiently, and safely. The agent uses MCP tools to inspect credentials — it never needs to read your secrets.toml directly. Learn more →

3. Start LLM-assisted coding:

Use /find-source to load data from the Decodo Instagram Web Scraping API API into DuckDB.

The rest-api-pipeline toolkit takes over from here — it reads relevant API documentation, presents you with options for which endpoints to load, and follows a structured workflow to scaffold, debug, and validate the pipeline step by step.

4. Run the pipeline:

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python decodo_instagram_web_scraping_api_pipeline.py

If everything is configured correctly, you'll see output like this:

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Pipeline decodo_instagram_web_scraping_api_pipeline load step completed in 0.26 seconds
1 load package(s) were loaded to destination duckdb and into dataset decodo_instagram_web_scraping_api_data
The duckdb destination used duckdb:/decodo_instagram_web_scraping_api.duckdb location to store data
Load package 1749667187.541553 is LOADED and contains no failed jobs

Inspect your pipeline and data:

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dlt pipeline decodo_instagram_web_scraping_api_pipeline show

This opens the Pipeline Dashboard where you can verify pipeline state, load metrics, schema (tables, columns, types), and query the loaded data directly.

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Python pipeline example

This example loads instagram_graphql_profile and instagram_graphql_user_posts from the Decodo Instagram Web Scraping API API into DuckDB. It mirrors the endpoint and data selector configuration from the table above:

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import dlt
from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources

@dlt.source
def decodo_instagram_web_scraping_api_source(username, password=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://scraper-api.decodo.com/v2",
            "auth": {
                "type": "http_basic",
                "username, password": username, password,
            },
        },
        "resources": [
            {"name": "instagram_graphql_profile", "endpoint": {"path": "task/{Task_ID}/results"}},
            {"name": "instagram_graphql_user_posts", "endpoint": {"path": "task/{Task_ID}/results", "data_selector": "page_info"}}
        ],
    }
    yield from rest_api_resources(config)


def get_data() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="decodo_instagram_web_scraping_api_pipeline",
        destination="duckdb",
        dataset_name="decodo_instagram_web_scraping_api_data",
    )
    load_info = pipeline.run(decodo_instagram_web_scraping_api_source())
    print(load_info)

To add more endpoints, append entries from the resource table to the "resources" list using the same name, path, and data_selector pattern.

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How do I query the loaded data?

Once the pipeline runs, dlt creates one table per resource. You can query with Python or SQL.

Python (pandas DataFrame):

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import dlt

data = dlt.pipeline("decodo_instagram_web_scraping_api_pipeline").dataset()
sessions_df = data.instagram_graphql_profile.df()
print(sessions_df.head())

SQL (DuckDB example):

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SELECT * FROM decodo_instagram_web_scraping_api_data.instagram_graphql_profile LIMIT 10;

In a marimo or Jupyter notebook:

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import dlt

data = dlt.pipeline("decodo_instagram_web_scraping_api_pipeline").dataset()
data.instagram_graphql_profile.df().head()

See how to explore your data in marimo Notebooks and how to query your data in Python with dataset.

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What destinations can I load Decodo Instagram Web Scraping API data to?

dlt supports loading into any of these destinations — only the destination parameter changes:

Change the destination in dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. See the full destinations list.

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Troubleshooting

Common API Errors

The Decodo Instagram Web Scraping API documentation does not explicitly detail common API errors such as authentication failures, rate limits, or pagination quirks. Users encountering issues should refer to general API best practices or contact Decodo support for assistance.

Ensure that the API key is valid to avoid 401 Unauthorized errors. Also, verify endpoint paths and parameters to avoid 404 Not Found errors.

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Next steps

Continue your data engineering journey with the other toolkits of the dltHub AI Workbench:

• data-exploration — Build custom notebooks, charts, and dashboards for deeper analysis with marimo notebooks.
• dlthub-runtime — Deploy, schedule, and monitor your pipeline in production.

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dlt ai toolkit data-exploration install
dlt ai toolkit dlthub-runtime install

• How to deploy a pipeline
• How to explore your data in marimo Notebooks
• How to query your data in Python with dataset
• Join the dlt community on Slack