Connect Pinterest Organic & Shopping to BigQuery
Send Pinterest Organic & Shopping boards, catalogs, catalogs feeds and 5 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
pinterest
boardscatalogscatalogs_feedscatalogs_product_groupsboard_sections- 3 more data types
How to connect Pinterest Organic & Shopping and BigQuery
5 steps. You can preview the Pinterest Organic & Shopping data in Coupler.io before anything reaches BigQuery.
Step 1 of 5
Connect Pinterest Organic & Shopping
Sign in to Pinterest Organic & Shopping and authorize Coupler.io. There's no API key to copy.
Step 2 of 5
Choose what to export
Pick the Pinterest Organic & Shopping data you want in BigQuery.
Step 3 of 5
Fine-tune the export
Optional settings for this Pinterest Organic & Shopping export.
Step 4 of 5
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Pinterest Organic & Shopping data.
Step 5 of 5
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 boards with fresh Pinterest Organic & Shopping data.
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8 data types, including Boards, Catalogs, Catalogs feeds, Catalogs product groups and Board sections.
You sign in to Pinterest Organic & Shopping and authorize Coupler.io. There's no API key to copy.
Yes. Set the start date to cover the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Pinterest Organic & Shopping 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 Google Ads or Facebook Ads, and join or append them before the data reaches BigQuery.