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Connect Bing Webmaster Tool to BigQuery

Connect Bing Webmaster Tool to Big Query and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a Bing Webmaster Tool API pipeline.

Connect Bing Webmaster Tool to BigQuery

Used by the world's leading companies

Export Bing Webmaster Tool data to Big Query

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Bing Webmaster Tool data in BigQuery

Bring all your Bing Webmaster Tools Metrics data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data Freshness

Keep your warehouse always up to date

Automatically sync new data from Bing Webmaster Tool so every dashboard, model, and report works with fresh information.

Data Freshness

Unify Bing Webmaster Tool with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Bing Webmaster Tool metrics and dimensions available in Google Big Query

Access 17 metrics and 37 dimensions from Bing Webmaster Tool connectors including Clicks, Impressions, Avg Click Position, Avg Impression Position, Crawl Errors, Crawled Pages, In Index, Date, Query, Page, Crawl Issue URL, Crawl Issue Http Code, Feed Status, Feed URL and many more...

17

Metrics availables

37

Dimensions availables

Connect Bing Webmaster Tool to BigQuery in minutes

Move your data from Bing Webmaster Tool to BigQuery with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Bing Webmaster Tool account

Authenticate your Bing Webmaster Tool account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now
Client A · Connected sources
5 sources ready
Bing Webmaster Tool 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step Two

Choose the Big Query Destination

Select your Google Cloud project and BigQuery dataset. Catchr automatically prepares the destination and maps your data into analytics-ready tables.

Destination / Google BigQuery Required fields
Step three

Keep your warehouse in sync

Catchr continuously imports new and updated data into BigQuery.

Your warehouse stays fresh automatically, ready for SQL, dbt, BI tools, and AI workloads.

Destination / Google BigQuery Example
Project ID Required
agency-reporting-prod
Dataset ID Required
marketing_raw
Service-account JSON key Required
catchr-bigquery-writer.json
Destination table Per job
facebook_ads_daily
Date partition Optional
date
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
First sync scheduled Selected fields · configured history
06:00 UTC

Review 30-day Bing Webmaster Tools organic search performance in SQL.

Once the table is available, query the fields you selected and named. This example summarizes clicks, impressions, click-through rate, and average position by search query.

Bing Webmaster Tool.sql
BigQuery SQL
30-day window 
SELECT
  query,
  SUM(clicks) AS clicks,
  SUM(impressions) AS impressions,
  AVG(position) AS average_position,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(impressions)
  ) AS ctr
FROM `your_project.marketing_raw.bing_webmaster_tools_search_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY query
ORDER BY clicks DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Bing Webmaster Tool data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

Answers about available Meta Ads data, reporting cadence, history, table settings, attribution changes, and downstream joins.

How do I connect Bing Webmaster Tool to BigQuery?

Add Bing Webmaster Tool as a source in Catchr, choose BigQuery as the destination, select the fields to export, and authorize the target Google Cloud project and dataset.

What Bing Webmaster Tool data can I send to BigQuery?

Export sites, pages, queries, keywords, clicks, impressions, position, countries, devices, sitemaps, and other available organic search fields.

How often can Bing Webmaster Tool data be refreshed in BigQuery?

Schedule recurring refreshes in Catchr so your BigQuery tables stay updated automatically. Available frequencies depend on your plan, source limits, and reporting needs.

Can I combine Bing Webmaster Tool data with other sources in BigQuery?

Yes. Keep sources in separate tables, then use SQL views or models to join them on shared dimensions such as date, campaign, account, customer, product, or region.

What can I build with Bing Webmaster Tool data in BigQuery?

Build SEO dashboards, query and landing-page analysis, ranking trends, technical monitoring, and joined search performance datasets.

Can the table be partitioned by date?

If your selected schema contains an eligible date field, you can configure that field as the optional date partition for the destination table. Catchr does not configure table clustering or design your downstream analytical models.

Can Catchr backfill history into BigQuery?


Yes. Configure the historical period supported by the source for the initial import, then keep the table updated with recurring exports. The available range is determined by the source API and the settings of your job, not an unlimited-history promise.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector. 

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