Load Comeet Recruiting API data to DuckDB

Comeet Recruiting API provides access to candidate and position data, while the Careers API provides public access to careers website data. Everything needed to build a working Comeet Recruiting API → 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 Comeet Recruiting API 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 Comeet Recruiting API 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 Comeet Recruiting API 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.

---

Comeet Recruiting API API at a glance

These values come from the Comeet Recruiting API API reference — the authoritative source if anything here looks out of date.

---

How do I authenticate with the Comeet Recruiting API API?

Recruiting API requests require an Authorization header with a Bearer token generated by encoding the partner's api-key and secret using JWT. Careers API requests are authorized by including a token as a query parameter.

1. Get your credentials

To obtain credentials for the Comeet (Spark Hire Recruit) API: 1. Submit an official request form for API access to your Dedicated Customer Success Manager (DCSM) or through the developer portal. 2. Upon approval, you will receive an API secret. 3. Access your Sandbox account or the Integrations page within the Recruit dashboard (requires Admin or Owner role) to retrieve the API Key. For Evaluation API integrations, a user with an Admin role selects your service on the Integrations page, clicks 'Integrate', and then copies the API key provided there.

2. Add them to .dlt/secrets.toml

Copy
[sources.comeet_recruiting_api_source]
api_key = "YOUR_API_KEY_HERE"
api_secret = "YOUR_API_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 Comeet Recruiting API data can I load into DuckDB?

These are the Comeet Recruiting API endpoints dlt can load into DuckDB:

---

How do I load only new Comeet Recruiting API records?

Comeet Recruiting API exposes time_last_updated on positions, 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": "positions", "endpoint": {
    "path": "positions",
    "data_selector": "positions",
    "incremental": {"cursor_path": "time_last_updated", "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 Comeet Recruiting API pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /positions and /candidates from the Comeet Recruiting API API into DuckDB:

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

@dlt.source
def comeet_recruiting_api_source(api_key=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://www.comeet.co/careers-api/2.0",
            "auth": {"type": "bearer", "token": api_key},
        },
        "resources": [
            {"name": "positions", "endpoint": {"path": "positions", "data_selector": "positions"}},
            {"name": "candidates", "endpoint": {"path": "candidates", "data_selector": "candidates"}}
        ],
    }
    yield from rest_api_resources(config)


def load_comeet_recruiting_api_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="comeet_recruiting_api_pipeline",
        destination="duckdb",
        dataset_name="comeet_recruiting_api_data",
    )
    load_info = pipeline.run(comeet_recruiting_api_source())
    print(load_info)


if __name__ == "__main__":
    load_comeet_recruiting_api_to_duckdb()

Run it with python comeet_recruiting_api_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 Comeet Recruiting API 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("comeet_recruiting_api_pipeline").dataset()
df = data.positions.df()
print(df.head())

SQL:

Copy
SELECT * FROM comeet_recruiting_api_data.positions LIMIT 10;

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

---

How do I deploy the Comeet Recruiting API 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 Comeet Recruiting API 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 Comeet Recruiting API 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