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Connect Indeed Review to PostgreSQL

Connect Indeed Review to PostgreSQL and export selected accounts, metrics, and dimensions to your PostgreSQL project.

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

Used by the world's leading companies

Export Indeed Review data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Indeed Review data in PostgreSQL

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

Data freshness

Keep your PostgreSQL tables up to date

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

Analysis

Unify Indeed Review with the rest of your business data

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

Indeed Review metrics and dimensions available in PostgreSQL

Access 8 metrics and 26 dimensions from Indeed Review connectors including Average Rating, Review Count, Rating, Work-Life Balance Rating, Management Rating, Review Date, Reviewer Location, Reviewer Employee Type, Review Title, Review Text, Pros, Cons, Review URL and many more...

8

Metrics availables

26

Dimensions availables

Connect Indeed Review to PostgreSQL in minutes

Move your data from Indeed Review to PostgreSQL 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 Indeed Review account

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

Client A · Connected sources
5 sources ready
Indeed 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 PostgreSQL destination

Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.

Destination / PostgreSQL Required fields
Host Required
warehouse.company.net
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing
Step three

Keep your PostgreSQL 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 Indeed Review customer review performance in SQL.

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

Indeed Review.sql
BigQuery SQL
30-day window
SELECT
  location_name,
  AVG(rating) AS average_rating,
  COUNT(*) AS reviews
FROM `your_project.marketing_raw.indeed_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 PostgreSQL.

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.

Can Catchr send Indeed Review records directly to PostgreSQL?

Add Indeed Review in Sources and connect the existing PostgreSQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "locations".

How much control do I have over Indeed Review fields in PostgreSQL?

Select concrete Indeed Review fields such as Average Rating, Compensation and Benefits Rating, Job Culture Rating, and Day of the year. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as review sources, locations, and reviews.

How should I configure recurring Indeed Review imports in PostgreSQL?

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

How do I prevent duplicate Indeed Review rows in PostgreSQL?

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

How can a team use Indeed Review data after it reaches PostgreSQL?

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

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

Yes. Connect an existing PostgreSQL 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 Postgres 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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