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Connect Bing Webmaster Tool to Amazon Redshift

Connect Bing Webmaster Tool to Amazon Redshift and export selected accounts, metrics, and dimensions to your Amazon Redshift project.

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

Used by the world's leading companies

Export Bing Webmaster Tool data to Amazon Redshift

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Bing Webmaster Tool data in Amazon Redshift

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

Data freshness

Keep your Amazon Redshift tables up to date

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

Analysis

Keep your Amazon Redshift tables up to date

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

Bing Webmaster Tool metrics and dimensions available in Amazon Redshift

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 Amazon Redshift in minutes

Move your data from Bing Webmaster Tool to Amazon Redshift 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.

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 Amazon Redshift destination

Enter the Redshift host, database, and credentials that Catchr should use. The connection is checked before the destination is saved.

Destination / Amazon Redshift Required fields
Host Required
reporting-cluster.abc123.eu-west-1.redshift.amazonaws.com
Username Required
catchr_loader
Password Required
••••••••••••
Database Required
marketing_warehouse
Step three

Keep your Amazon Redshift tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your Amazon Redshift table.

Export job / Amazon Redshift Example
Schema Destination
marketing_raw
Table Per job
facebook_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
First sync scheduledSelected fields · configured history
06:00 UTC

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

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 connect your first source.

Plain answers for marketers evaluating MCP and Catchr.

What does MCP stand for

MCP stands for Model Context Protocol. It is an open standard that lets AI applications connect to external data sources and tools through a common interface.

What is an MCP server?

An MCP server makes selected data or capabilities available to an MCP-compatible application. Catchr MCP acts as the bridge between your AI assistant and the marketing platforms connected to Catchr.

How is MCP different from an API?

An API exposes ways for software to exchange data or perform actions. MCP provides a standard designed for AI applications to discover and use those capabilities. Catchr handles the source APIs and exposes useful marketing-data capabilities through MCP.

Do I need to code to use Catchr MCP?

No. Connect your sources in Catchr, add the remote MCP server URL to a supported AI assistant, and complete authorization through the interface.

Does Catchr MCP work with ChatGPT and Claude?

Yes. Catchr provides dedicated setup guides for both. Custom MCP support can depend on your AI plan, your region, and your workspace administrator settings, so check the relevant guide before setup.

What can I ask about my marketing data?

You can request performance summaries, period comparisons, campaign and account breakdowns, anomaly investigations, and client-ready recaps. Precise prompts should include the account, date range, metrics, comparison, and desired output format.

Which data sources are available?

Catchr supports more than 100 platforms across advertising, analytics, CRM, ecommerce, email, SEO, and social. Explore the connector directory to confirm a specific source.

Still have a question ? 

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