Load Bitmovin Player data to DuckDB

Bitmovin is a cloud-based video encoding and player platform that provides a REST API for programmatic control over encoding workflows, analytics, and player management. Everything needed to build a working Bitmovin Player → 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.

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Build your Bitmovin Player to DuckDB pipeline

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

PromptCopy prompt
Run uvx dlthub-init@latest to build a pipeline from Bitmovin Player 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 Bitmovin Player 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.

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Bitmovin Player API at a glance

These values come from the Bitmovin Player API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Bitmovin Player API?

Authentication is performed by passing a Bitmovin API key in the 'x-api-key' request header. For multi-organization accounts, the 'x-tenant-org-id' header is also required to specify the target organization.

1. Get your credentials

1. Log in to your Bitmovin Dashboard at https://bitmovin.com/dashboard. 2. Navigate to your Account Settings. 3. Locate your API Key, which is displayed in the account information section.

2. Add them to .dlt/secrets.toml

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[sources.bitmovin_player_source]
bitmovin_api_key = "your_api_key_here"
bitmovin_tenant_org_id = "your_tenant_organization_id_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.

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What Bitmovin Player data can I load into DuckDB?

These are the Bitmovin Player endpoints dlt can load into DuckDB:

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How do I load only new Bitmovin Player records?

Bitmovin Player exposes createdAt on player/licenses, so dlt can request only the records that changed since the last run. Set it as the cursor_path and dlt tracks the high-water mark for you between runs.

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{"name": "player_licenses", "endpoint": {
    "path": "player/licenses",
    "data_selector": "items",
    "incremental": {"cursor_path": "createdAt", "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.

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What does the generated Bitmovin Player pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /encoding/encodings and /encoding/manifests/hls from the Bitmovin Player API into DuckDB:

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

@dlt.source
def bitmovin_player_source(api_key=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://api.bitmovin.com/v1",
            "auth": {"type": "api_key", "api_key": api_key, "name": "X-Api-Key", "location": "header"},
        },
        "resources": [
            {"name": "player_licenses", "endpoint": {"path": "player/licenses", "data_selector": "items"}},
            {"name": "streams_videos", "endpoint": {"path": "streams/video", "data_selector": "items"}}
        ],
    }
    yield from rest_api_resources(config)


def load_bitmovin_player_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="bitmovin_player_pipeline",
        destination="duckdb",
        dataset_name="bitmovin_player_data",
    )
    load_info = pipeline.run(bitmovin_player_source())
    print(load_info)


if __name__ == "__main__":
    load_bitmovin_player_to_duckdb()

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

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How do I query Bitmovin Player 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):

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import dlt

data = dlt.pipeline("bitmovin_player_pipeline").dataset()
df = data.player_licenses.df()
print(df.head())

SQL:

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SELECT * FROM bitmovin_player_data.player_licenses LIMIT 10;

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

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How do I deploy the Bitmovin Player 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 Bitmovin Player loads into governed, documented models.
• Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.

Book a demo →

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What other destinations can I load Bitmovin Player data to?

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

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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Next steps

• Ready for production? Book a demo of the dltHub platform →
• dlt LLM-native workflow docs
• REST API source reference
• Join the dlt community on Slack