Connect Web Scrapper to PostgreSQL
Send Web Scrapper users, sitemap lists, scraping jobs and 2 more data types to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
PostgreSQL
schema web_scrapper
userssitemap_listsscraping_jobsscraping_job_data_qualitiessitemap_details
How to connect Web Scrapper and PostgreSQL
4 steps. You can preview the Web Scrapper data in Coupler.io before anything reaches PostgreSQL.
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 PostgreSQL.
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Web Scrapper 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 users and loads fresh Web Scrapper data.
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Build your Web Scrapper integrations with these destinations
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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 database user has CREATE privileges. Coupler.io creates the web_scrapper schema and the users table on the first run.
Yes. Append adds new rows to users on each run, while Replace swaps in a fresh copy. With Append, add new Web Scrapper 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 100ms or Amazon Seller Central, and join or append them before the data reaches PostgreSQL.
