Load Entity Sports Cricket API V2 data to DuckDB

Entity Sports Cricket API V2 provides comprehensive cricket data including seasons, competitions, matches, teams, and statistics through a RESTful interface. Everything needed to build a working Entity Sports Cricket API V2 → 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 Entity Sports Cricket API V2 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 Entity Sports Cricket API V2 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 Entity Sports Cricket API V2 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.

---

Entity Sports Cricket API V2 API at a glance

These values come from the Entity Sports Cricket API V2 API reference — the authoritative source if anything here looks out of date.

---

How do I authenticate with the Entity Sports Cricket API V2 API?

Authentication requires obtaining a short-lived token by sending a POST request to /v2/auth/ with access_key and secret_key in the body. This token must then be passed as a query parameter named 'token' in all subsequent API requests.

1. Get your credentials

1. Register for an account at the Entity Sports website. 2. Verify your email address through the link sent to your inbox. 3. Log in to the Entity Sports dashboard using your verified credentials. 4. Navigate to the Plans section to select a subscription plan. 5. Once the subscription is processed, go to the Application section on the dashboard to locate your API access credentials, including your access key and secret key.

2. Add them to .dlt/secrets.toml

Copy
[sources.entity_sports_cricket_api_v2_source]
token = "REPLACE_ME"

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 Entity Sports Cricket API V2 data can I load into DuckDB?

These are the Entity Sports Cricket API V2 endpoints dlt can load into DuckDB:

---

How do I load only new Entity Sports Cricket API V2 records?

The Entity Sports Cricket API V2 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.

Copy
{"name": "competitions", "endpoint": {
    "path": "v2/competitions",
    # 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 Entity Sports Cricket API V2 pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /v2/auth/ and /?token=[ACCESS_TOKEN] (for data requests) from the Entity Sports Cricket API V2 API into DuckDB:

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

@dlt.source
def entity_sports_cricket_api_v2_source(token=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://restapi.entitysport.com/v2/",
            "auth": {"type": "api_key", "api_key": token, "name": "token"},
        },
        "resources": [
            {"name": "competitions", "endpoint": {"path": "v2/competitions", "data_selector": "response"}},
            {"name": "matches_upcoming", "endpoint": {"path": "v2/matches/upcoming", "data_selector": "response"}}
        ],
    }
    yield from rest_api_resources(config)


def load_entity_sports_cricket_api_v2_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="entity_sports_cricket_api_v2_pipeline",
        destination="duckdb",
        dataset_name="entity_sports_cricket_api_v2_data",
    )
    load_info = pipeline.run(entity_sports_cricket_api_v2_source())
    print(load_info)


if __name__ == "__main__":
    load_entity_sports_cricket_api_v2_to_duckdb()

Run it with python entity_sports_cricket_api_v2_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 Entity Sports Cricket API V2 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("entity_sports_cricket_api_v2_pipeline").dataset()
df = data.competitions.df()
print(df.head())

SQL:

Copy
SELECT * FROM entity_sports_cricket_api_v2_data.competitions LIMIT 10;

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

---

How do I deploy the Entity Sports Cricket API V2 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 Entity Sports Cricket API V2 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 Entity Sports Cricket API V2 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