Connect Web Scrapper to BigQuery
Send Web Scrapper users, sitemap lists, scraping jobs and 2 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
web_scrapper
userssitemap_listsscraping_jobsscraping_job_data_qualitiessitemap_details
How to connect Web Scrapper and BigQuery
4 steps. You can preview the Web Scrapper data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Web Scrapper
Enter your Web Scrapper API token. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Web Scrapper 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 Web Scrapper 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 users with fresh Web Scrapper data.
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5 data types, including Users, Sitemap lists, Scraping jobs, Scraping job data qualities and Sitemap details.
With your Web Scrapper 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 Web Scrapper 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 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.