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Connect Airbnb Review to MySQL

Connect Airbnb Review to MySQL and export selected accounts, metrics, and dimensions to your MySQL project.

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

Used by the world's leading companies

Export Airbnb Review data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Airbnb Review data in MySQL

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

Data freshness

Keep your MySQL tables up to date

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

Analysis

Unify Airbnb Review with the rest of your business data

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

Airbnb Review metrics and dimensions available in MySQL

Access 2 metrics and 22 dimensions from Airbnb Review connectors including Rating, Review Count, Review Date, Review Text, Reviewer Name, Language, Review URL and many more...

2

Metrics availables

22

Dimensions availables

Connect Airbnb Review to MySQL in minutes

Move your data from Airbnb Review to MySQL 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 Airbnb Review account

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

Client A · Connected sources
5 sources ready
Airbnb 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 MySQL destination

Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.

Destination / MySQL Required fields
Host Required
analytics-db.internal
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your MySQL tables updated

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

Export job / MySQL Example
Database Destination
marketing_reporting
Table Per job
google_ads_campaigns
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

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

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

Airbnb Review.sql
BigQuery SQL
30-day window
SELECT
  location_name,
  AVG(rating) AS average_rating,
  COUNT(*) AS reviews
FROM `your_project.marketing_raw.airbnb_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 Airbnb 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 MySQL setup, available source data, schedules, table updates, and SQL use cases.

How do I create a MySQL job for Airbnb Review data?

Create the Airbnb Review source, then register MySQL with its host, username, password, and database name. Link both through a datastream and target the "review sources" table in the job.

What Airbnb Review data can I preview before the MySQL import?

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

What happens when a scheduled Airbnb Review MySQL job runs?

Configure the initial Airbnb Review period separately from the recurring schedule for "review sources". The source API determines how much history is available.

What is the safest update strategy for Airbnb Review data in MySQL?

Choose an eligible date field as the partition for Airbnb Review. Catchr can then replace the matching period in "review sources"; without it, later runs append rows and may create duplicates.

Which reporting workflow can I build from Airbnb Review MySQL tables?

With Airbnb Review data, a MySQL query can summarize review volume and average rating by location over the last 30 days. Use Rating and Review Count in a MySQL view to create a reusable reporting layer for client analysis.

Does my MySQL database need to exist before I connect it?

Yes. Connect an existing MySQL 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 MySQL 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.

Still have a question ? 

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

Your next MySQL reporting table should not start with five exports.

Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.

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