Connect Apify Dataset to BigQuery
Send Apify Dataset dataset collections, datasets, item collection website content crawlers and 1 more data type to BigQuery on a schedule. Refresh as often as every 15 minutes.
apify_dataset
dataset_collectionsdatasetsitem_collection_website_content_crawlersitem_collections
How to connect Apify Dataset and BigQuery
4 steps. You can preview the Apify Dataset data in Coupler.io before anything reaches BigQuery.
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 BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Apify Dataset data.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites dataset_collections with 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 table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Apify Dataset data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
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 BigQuery.