Integrations
Load job data into your tools
Copy-paste guides to get job posts from the jobdata API into the databases, languages and spreadsheets you already use - with pagination, upserts and daily syncs handled.
Databases and warehouses
PostgreSQL
Upsert job posts into a PostgreSQL table with the raw JSON in a jsonb column - queryable with SQL and safe to re-run.
Databases and warehouses
BigQuery
Load job posts into a BigQuery table with an explicit schema, ready for SQL analysis and Looker Studio dashboards.
Databases and warehouses
Snowflake
Write job posts into a Snowflake table from a pandas DataFrame with write_pandas - no stage management needed.
Databases and warehouses
DuckDB
Pull job posts into a local DuckDB file and analyze them with SQL in seconds - nested company data included.
Programming languages
pandas
Load job posts into a pandas DataFrame with flattened company fields, then save as Parquet for analysis or modeling.
Programming languages
R
Fetch job posts into an R data frame with httr2 and dplyr - pagination included.
Programming languages
Node.js
Stream job posts in Node.js with built-in fetch and an async generator - no dependencies.
Spreadsheets and no-code
Google Sheets
Import job posts into Google Sheets with a short Apps Script and refresh them automatically on a timer.
Spreadsheets and no-code
Airtable
Upsert job posts into an Airtable base in batches of ten, matched on the job ID so re-runs never duplicate records.
Spreadsheets and no-code
Power BI
Load job posts into Power BI with a Power Query (M) script that pages through results and refreshes in the Power BI service.
No-code tutorials
Explore jobdata API with AI tools
Ask an AI assistant how to search and build with live job data.