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Connect Booking Review to Azure SQL

Connect Booking Review to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Booking Review API pipeline.

Connect Booking Review to Azure SQL

Used by the world's leading companies

Export Booking Review data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Booking Review data in Azure SQL

Bring all your Booking Review data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from Booking Review so every dashboard, model, and report works with fresh information.

Analysis

Unify Booking Review with the rest of your business data

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

Booking Review metrics and dimensions available in Azure SQL

Access 3 metrics and 24 dimensions from Booking Review connectors including Average Rating, Rating, Review Count, Date, Review DateTime, Review Title, Pros, Cons, Language, Reviewer, Reply Text and many more...

3

Metrics availables

24

Dimensions availables

Connect Booking Review to Azure SQL in minutes

Move your data from Booking Review to Azure SQL 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 Booking Review account

Authenticate your Booking Review account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now
Client A · Connected sources
5 sources ready
Booking Review 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 AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields
Host Required
catchr-reporting.database.windows.net
Username Required
catchr_loader
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your AzureSQL tables updated

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

Export job / Azure SQL Example
Schema Destination
dbo
Table Per job
meta_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Review 30-day Booking Review customer review performance in SQL.

This example summarizes review volume and average rating by location over the last 30 days.

Booking Review.sql
BigQuery SQL
30-day window 
SELECT
  location_name,
  AVG(rating) AS average_rating,
  COUNT(*) AS reviews
FROM `your_project.marketing_raw.booking_review_reviews`
WHERE review_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY location_name
ORDER BY reviews DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Booking Review 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 AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

Can Catchr send Booking Review records directly to Azure SQL?

Add Booking Review in Sources and connect the existing Azure SQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "reviews".

How much control do I have over Booking Review fields in Azure SQL?

Select concrete Booking Review fields such as Average Rating, Rating, Review Count, and Day of the year. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as review sources, locations, and reviews.

How should I configure recurring Booking Review imports in Azure SQL?

Define the first Booking Review fetch, run frequency, and lookback window in the "reviews" job. Each scheduled run replaces data inside the configured period.

How do I prevent duplicate Booking Review rows in Azure SQL?

Use a supported date field to partition "reviews". Recurring Booking Review runs can then update the selected window instead of adding another copy of the same period.

How can a team use Booking Review data after it reaches Azure SQL?

With Booking Review data, an Azure SQL query can summarize review volume and average rating by location over the last 30 days. Model Average Rating and Rating in SQL, then expose the result to dashboards, internal tools, or recurring client reports.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL  database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Azure SQL  database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

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