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Connect Airbnb Review to Snowflake

Connect Airbnb Review to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery 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 Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Airbnb Review data in PostgreSQL

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

Data freshness

Keep your Snowflake 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 Snowflake

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 Snowflake in minutes

Move your data from Airbnb Review to Snowflake 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 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 Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields
Authentication Choose one
Password
Key pair
Host Required
xy12345.eu-west-1
Username Required
catchr_service
Database Required
MARKETING.RAW
Private key passphrase Optional
••••••••••••
Private key Required for key pair
-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----
Step three

Keep your Snowflake tables updated

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

Export job / PostgreSQL Example
Schema Destination
marketing_raw
Table Per job
linkedin_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 07:00
Weekly · Mon
First sync scheduledSelected fields · configured history
07:00 UTC

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

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

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

Create the Airbnb Review source, then register Snowflake with its account identifier, username, database, schema, and password or private key. Link both through a datastream and target the "review sources" table in the job.

What Airbnb Review data can I preview before the Snowflake 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 Snowflake tables such as review sources, locations, and reviews.

What happens when a scheduled Airbnb Review Snowflake 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 Snowflake?

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 tables in Snowflake?

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

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

Yes. Connect an existing Snowflake 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 Snowflake 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. 

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