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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.

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BigQuery dataset web_scrapper
  • users
  • sitemap_lists
  • scraping_jobs
  • scraping_job_data_qualities
  • sitemap_details
Each Web Scrapper data type lands in its own table. You pick the dataset and table names.
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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.

API token••••••••••••

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.

JSON key filecoupler-service-account.jsonKey file from a GCP service account
Dataset nameweb_scrapperExactly as it appears in BigQuery
Table nameusersExisting table or a new name to create
Autodetect table schemaOnOn by default. Turn off to define the schema as JSON

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.

Write mode

Each run overwrites users with fresh Web Scrapper data.

Get the most of Web Scrapper to BigQuery integration

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Gather data

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Understand data

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Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Web Scrapper to BigQuery questions

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.

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