Load TRONSCAN data to DuckDB
Build a TRONSCAN to DuckDB pipeline with your coding agent. One prompt scaffolds it with the dltHub AI harness, plus the TRONSCAN API base URL, auth, endpoints, and incremental loading.
TRONSCAN is a blockchain explorer and analytics platform providing comprehensive data for the TRON network via a RESTful API. Everything needed to build a working TRONSCAN → 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 TRONSCAN to DuckDB pipeline
Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.
PromptRunuvx dlthub-init@latestto build a pipeline from TRONSCAN 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 TRONSCAN 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.
TRONSCAN API at a glance
| Base URL | https://apilist.tronscanapi.com/api |
| Example endpoint | GET api/transaction |
| Records found at | data |
| Authentication | all requests require an API key via a custom request header — sent in the TRON-PRO-API-KEY header |
| Pagination | Offset-based page size via limit |
| Incremental field | start |
| API reference | https://docs.tronscan.org/en/api/api-keys |
These values come from the TRONSCAN API reference — the authoritative source if anything here looks out of date.
How do I authenticate with the TRONSCAN API?
All API requests require the TRON-PRO-API-KEY header to be included in the request. The value of this header must be a unique API key generated through the TRONSCAN portal.
1. Get your credentials
- Log in to your account on the official TRONSCAN website. 2. Navigate to the API Keys management page (typically accessible via your developer dashboard). 3. Click the Add button to create a new key. 4. Enter a name for your application and configure any desired security options. 5. Copy the generated API Key token securely, as you will need it for all authenticated requests to the TRONSCAN API.
2. Add them to .dlt/secrets.toml
[sources.tronscan_source] tronscan_api_key = "your_api_key_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 TRONSCAN data can I load into DuckDB?
These are the TRONSCAN endpoints dlt can load into DuckDB:
| Resource | Endpoint | Method | Data selector | Description |
|---|---|---|---|---|
| transactions | transaction | GET | data | Get a list of transactions |
| transfers | transfer | GET | data | Get TRX & TRC10 transfer list |
| trc20_transfers | token_trc20/transfers | GET | data | Get TRC20 & TRC721 transfers list |
| blocks | block | GET | data | Get the list of blocks |
| contracts | contracts | GET | data | Get list of contracts |
| account_list | account/list | GET | data | Get account list |
How do I load only new TRONSCAN records?
TRONSCAN exposes start on api/transaction, 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.
{"name": "transactions", "endpoint": { "path": "api/transaction", "data_selector": "data", "incremental": {"cursor_path": "start", "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 TRONSCAN pipeline look like?
A standard dlt REST API pipeline — the same code you would write by hand, loading block and account/list from the TRONSCAN API into DuckDB:
import dlt from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources @dlt.source def tronscan_source(api_key=dlt.secrets.value): config: RESTAPIConfig = { "client": { "base_url": "https://apilist.tronscanapi.com/api", "auth": {"type": "api_key", "api_key": api_key, "name": "TRON-PRO-API-KEY", "location": "header"}, }, "resources": [ {"name": "transactions", "endpoint": {"path": "api/transaction", "data_selector": "data"}}, {"name": "blocks", "endpoint": {"path": "api/block", "data_selector": "data"}} ], } yield from rest_api_resources(config) def load_tronscan_to_duckdb() -> None: pipeline = dlt.pipeline( pipeline_name="tronscan_pipeline", destination="duckdb", dataset_name="tronscan_data", ) load_info = pipeline.run(tronscan_source()) print(load_info) if __name__ == "__main__": load_tronscan_to_duckdb()
Run it with python tronscan_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 TRONSCAN 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):
import dlt data = dlt.pipeline("tronscan_pipeline").dataset() df = data.transaction.df() print(df.head())
SQL:
SELECT * FROM tronscan_data.transaction LIMIT 10;
See querying your data with dataset and exploring it in marimo notebooks.
How do I deploy the TRONSCAN 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 TRONSCAN loads into governed, documented models.
- Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.
What other destinations can I load TRONSCAN data to?
dlt loads into any of these — only the destination argument changes:
| Destination | Example value |
|---|---|
| PostgreSQL | "postgres" |
| BigQuery | "bigquery" |
| Snowflake | "snowflake" |
| Redshift | "redshift" |
| Databricks | "databricks" |
| Filesystem (S3, GCS, Azure) | "filesystem" |
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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