Load Snapchat Marketing data to DuckDB

Snapchat Marketing API is an interface for managing ad campaigns, reporting on performance, and handling audience data on the Snapchat platform. Everything needed to build a working Snapchat Marketing → 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 Snapchat Marketing 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 Snapchat Marketing 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 Snapchat Marketing 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.

---

Snapchat Marketing API at a glance

These values come from the Snapchat Marketing API reference — the authoritative source if anything here looks out of date.

---

How do I authenticate with the Snapchat Marketing API?

The API uses OAuth 2.0 access tokens. All authenticated requests must include the 'Authorization' header with the value 'Bearer {access_token}'.

1. Get your credentials

1. Log in to your Snapchat Business Manager account (business.snapchat.com) as an Organization Admin.
2. Navigate to Business Details within the Business Dashboard.
3. Locate the OAuth Apps section and click +OAuth App.
4. Agree to the required Snap Developer and Business Tools terms.
5. Provide a name and a redirect_uri for your application and click Save.
6. Copy the generated client_id and client_secret. Note: The client_secret is displayed only once; ensure it is saved securely.
7. Use these credentials to initiate the OAuth 2.0 authorization flow (directing users to the authorization URL, exchanging the returned code for an access token and refresh token).

2. Add them to .dlt/secrets.toml

Copy
[sources.snapchat_marketing_source]
client_id = "your_client_id_here"
client_secret = "your_client_secret_here"
refresh_token = "your_refresh_token_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 Snapchat Marketing data can I load into DuckDB?

These are the Snapchat Marketing endpoints dlt can load into DuckDB:

---

How do I load only new Snapchat Marketing records?

Snapchat Marketing exposes paging.next_link on v1/adaccounts/{ad_account_id}/campaigns, 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.

Copy
{"name": "campaigns", "endpoint": {
    "path": "v1/adaccounts/{ad_account_id}/campaigns",
    "data_selector": "campaigns",
    "incremental": {"cursor_path": "paging.next_link", "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 Snapchat Marketing pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading https://adsapi.snapchat.com/v1/me/organizations and https://adsapi.snapchat.com/v1/adaccounts/{ad_account_id}/ads from the Snapchat Marketing API into DuckDB:

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

@dlt.source
def snapchat_marketing_source(access_token=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://adsapi.snapchat.com/v1",
            "auth": {"type": "bearer", "token": access_token},
        },
        "resources": [
            {"name": "campaigns", "endpoint": {"path": "v1/adaccounts/{ad_account_id}/campaigns", "data_selector": "campaigns"}},
            {"name": "ads", "endpoint": {"path": "v1/adaccounts/{ad_account_id}/ads", "data_selector": "ads"}}
        ],
    }
    yield from rest_api_resources(config)


def load_snapchat_marketing_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="snapchat_marketing_pipeline",
        destination="duckdb",
        dataset_name="snapchat_marketing_data",
    )
    load_info = pipeline.run(snapchat_marketing_source())
    print(load_info)


if __name__ == "__main__":
    load_snapchat_marketing_to_duckdb()

Run it with python snapchat_marketing_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 Snapchat Marketing 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):

Copy
import dlt

data = dlt.pipeline("snapchat_marketing_pipeline").dataset()
df = data.ads.df()
print(df.head())

SQL:

Copy
SELECT * FROM snapchat_marketing_data.ads LIMIT 10;

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

---

How do I deploy the Snapchat Marketing 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 Snapchat Marketing 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 Snapchat Marketing 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.

---

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