Connect Apify Dataset to PostgreSQL
Send Apify Dataset dataset collections, datasets, item collection website content crawlers and 1 more data type to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
PostgreSQL
schema apify_dataset
dataset_collectionsdatasetsitem_collection_website_content_crawlersitem_collections
How to connect Apify Dataset and PostgreSQL
4 steps. You can preview the Apify Dataset data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect Apify Dataset
Enter your Apify Dataset API token. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Apify Dataset data you want in PostgreSQL.
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Apify Dataset data.
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Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in dataset_collections and loads fresh Apify Dataset data.
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Build your Apify Dataset integrations with these destinations
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4 data types, including Dataset collections, Datasets, Item collection website content crawlers and Item collections.
With your Apify Dataset API token, entered once when you add the connection.
Yes, if the database user has CREATE privileges. Coupler.io creates the apify_dataset schema and the dataset_collections table on the first run.
Yes. Append adds new rows to dataset_collections on each run, while Replace swaps in a fresh copy. With Append, add new Apify Dataset columns to the table yourself before the next run.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example GoHighLevel or Google Ads, and join or append them before the data reaches PostgreSQL.
