Web Scraper Cloud connector
Set up the Web Scraper Cloud connector in Kaivo: authentication, configuration, the 5 BigQuery tables it syncs, and answers to common questions.
Web Scraper Cloud connector pricing, tier and credits on kaivo.io
Kaivo is a fully managed data platform that syncs your Web Scraper Cloud data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your data from Web Scraper Cloud instead of moving it.
What is the Web Scraper Cloud connector
Section titled “What is the Web Scraper Cloud connector”Sync your Web Scraper jobs and sitemaps into BigQuery with Kaivo to monitor scraping runs and track output quality.
| Category | Tech |
|---|---|
| Authentication | API key |
| Setup | Self-service |
Getting started with the Web Scraper Cloud connector
Section titled “Getting started with the Web Scraper Cloud connector”- Sign up for Kaivo and create a workspace.
- Connect your Web Scraper Cloud account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Web Scraper Cloud
Section titled “Authenticating Web Scraper Cloud”Authenticate with your API Token.
| Field | Description |
|---|---|
| API Token | |
| API token to use. Find it at https://cloud.webscraper.io/api |
|
Tables and columns synced from Web Scraper Cloud
Section titled “Tables and columns synced from Web Scraper Cloud”Kaivo syncs 5 tables from Web Scraper Cloud into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
scraping_job_data_quality (52 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
max_empty_pages_percent__expected |
FLOAT64 |
|
max_empty_pages_percent__got |
FLOAT64 |
|
max_empty_pages_percent__success |
BOOL |
|
max_failed_pages_percent__expected |
FLOAT64 |
|
max_failed_pages_percent__got |
FLOAT64 |
|
max_failed_pages_percent__success |
BOOL |
|
max_no_value_pages_percent__expected |
FLOAT64 |
|
max_no_value_pages_percent__got |
FLOAT64 |
|
max_no_value_pages_percent__success |
BOOL |
|
min_column_records__description__expected |
FLOAT64 |
|
min_column_records__description__got |
FLOAT64 |
|
min_column_records__description__success |
BOOL |
|
min_column_records__category_link__expected |
FLOAT64 |
|
min_column_records__category_link__got |
FLOAT64 |
|
min_column_records__category_link__success |
BOOL |
|
min_column_records__category_link_href__expected |
FLOAT64 |
|
min_column_records__category_link_href__got |
FLOAT64 |
|
min_column_records__category_link_href__success |
BOOL |
|
min_column_records__name__expected |
FLOAT64 |
|
min_column_records__name__got |
FLOAT64 |
|
min_column_records__name__success |
BOOL |
|
min_column_records__pagination__expected |
FLOAT64 |
|
min_column_records__pagination__got |
FLOAT64 |
|
min_column_records__pagination__success |
BOOL |
|
min_column_records__pagination_href__expected |
FLOAT64 |
|
min_column_records__pagination_href__got |
FLOAT64 |
|
min_column_records__pagination_href__success |
BOOL |
|
min_column_records__price__expected |
FLOAT64 |
|
min_column_records__price__got |
FLOAT64 |
|
min_column_records__price__success |
BOOL |
|
min_column_records__product_link__expected |
FLOAT64 |
|
min_column_records__product_link__got |
FLOAT64 |
|
min_column_records__product_link__success |
BOOL |
|
min_column_records__product_link_href__expected |
FLOAT64 |
|
min_column_records__product_link_href__got |
FLOAT64 |
|
min_column_records__product_link_href__success |
BOOL |
|
min_column_records__reviews__expected |
FLOAT64 |
|
min_column_records__reviews__got |
FLOAT64 |
|
min_column_records__reviews__success |
BOOL |
|
min_column_records__subcategory_link__expected |
FLOAT64 |
|
min_column_records__subcategory_link__got |
FLOAT64 |
|
min_column_records__subcategory_link__success |
BOOL |
|
min_column_records__subcategory_link_href__expected |
FLOAT64 |
|
min_column_records__subcategory_link_href__got |
FLOAT64 |
|
min_column_records__subcategory_link_href__success |
BOOL |
|
min_record_count__expected |
FLOAT64 |
|
min_record_count__got |
FLOAT64 |
|
min_record_count__success |
BOOL |
|
overall_data_quality_success |
BOOL |
|
scraping_job |
FLOAT64 |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
scraping_jobs (19 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
driver |
STRING |
|
id |
FLOAT64 |
|
jobs_empty |
FLOAT64 |
|
jobs_executed |
FLOAT64 |
|
jobs_failed |
FLOAT64 |
|
jobs_no_value |
FLOAT64 |
|
jobs_scheduled |
FLOAT64 |
|
page_load_delay |
FLOAT64 |
|
request_interval |
FLOAT64 |
|
scheduled |
FLOAT64 |
|
scraping_duration |
FLOAT64 |
|
sitemap_id |
FLOAT64 |
|
sitemap_name |
STRING |
|
status |
STRING |
|
stored_record_count |
FLOAT64 |
|
test_run |
FLOAT64 |
|
time_created |
FLOAT64 |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
sitemap_detail (5 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
id |
FLOAT64 |
|
name |
STRING |
|
sitemap |
STRING |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
sitemap_list (4 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
id |
FLOAT64 |
|
name |
STRING |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
users (6 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
email |
STRING |
|
firstname |
STRING |
|
lastname |
STRING |
|
page_credits |
FLOAT64 |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
How the Web Scraper Cloud sync works
Section titled “How the Web Scraper Cloud sync works”After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Web Scraper Cloud supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won’t get duplicate rows.
Frequently asked questions
Section titled “Frequently asked questions”How long does the initial sync take for Web Scraper Cloud?
Section titled “How long does the initial sync take for Web Scraper Cloud?”It depends on how much history is in your Web Scraper Cloud account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they’re much faster.
Can I sync only some tables or columns?
Section titled “Can I sync only some tables or columns?”Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don’t select are never copied to your warehouse.
What happens when Web Scraper Cloud’s schema changes?
Section titled “What happens when Web Scraper Cloud’s schema changes?”New fields are never added automatically. You choose which fields to sync, so data you haven’t selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table’s sync mode: full-refresh tables always match what’s currently in Web Scraper Cloud, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.
How do I handle GDPR or data deletion requests?
Section titled “How do I handle GDPR or data deletion requests?”Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Web Scraper Cloud instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Web Scraper Cloud connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Web Scraper Cloud data
Section titled “Common use cases for Web Scraper Cloud data”Job monitoring
Section titled “Job monitoring”Use scraping_jobs with jobs_executed and jobs_failed to track run success over time.
Data quality
Section titled “Data quality”Use scraping_job_data_quality to watch failed and empty page rates.
Sitemap inventory
Section titled “Sitemap inventory”Report on sitemap_list and sitemap_detail to see what you scrape.
Usage tracking
Section titled “Usage tracking”Use users page_credits to monitor consumption.
Use Web Scraper Cloud data in your AI and BI tools
Section titled “Use Web Scraper Cloud data in your AI and BI tools”Once Web Scraper Cloud data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here’s how the most common destinations work with Web Scraper Cloud data.
Claude
Section titled “Claude”Use Kaivo’s MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Section titled “Power BI”Microsoft’s BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Section titled “Data Studio”Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →
Tableau
Section titled “Tableau”The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Section titled “Google Sheets”Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Connect via Power Query’s BigQuery connector. Setup guide →
Metabase
Section titled “Metabase”Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for Web Scraper Cloud connector pricing and plan details.