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Connect Glassdoor Review to PostgreSQL

Connect Glassdoor 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 Glassdoor Review API pipeline.

Used by the world's leading companies

Export Glassdoor Review data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Glassdoor Review data in PostgreSQL

Bring all your Glassdoor 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 Glassdoor Review so every dashboard, model, and report works with fresh information.

Analysis

Unify Glassdoor Review with the rest of your business data

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

Glassdoor Review metrics and dimensions available in PostgreSQL

Access 13 metrics and 25 dimensions from Glassdoor Review connectors including Overall Rating, Review Count, Rating, Recommend to Friend Rating, CEO Rating, Review Date, Review Title, Reviewer Position, Pros, Cons, Review URL and many more...

13

Metrics availables

25

Dimensions availables

Connect Glassdoor Review to PostgreSQL in minutes

Move your data from Glassdoor 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 Glassdoor Review account

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

Client A · Connected sources
5 sources ready
Glassdoor 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 Glassdoor Review customer review performance in SQL.

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

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

How do I route Glassdoor Review data into PostgreSQL tables?

Connect Glassdoor Review and add PostgreSQL as the stored destination. Create a datastream, then save a job that sends the required records to the "locations" table.

Which Glassdoor Review fields can I store in PostgreSQL?

Select concrete Glassdoor Review fields such as Business Outlook Rating, Career Opportunities Rating, CEO 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.

Can I backfill Glassdoor Review data before scheduling PostgreSQL updates?

Choose how far back the first Glassdoor Review load should go and how much recent data each "locations" run should refresh. Catchr splits large backfills into smaller intervals.

What happens if no partition field is chosen for Glassdoor Review?

For recurring Glassdoor Review loads, assign an eligible partition field to "locations". Otherwise Catchr cannot match the refresh window and will append the returned records.

How does Glassdoor Review data in PostgreSQL support deeper analysis?

With Glassdoor Review data, a PostgreSQL query can summarize review volume and average rating by location over the last 30 days. Join Business Outlook Rating and Career Opportunities Rating with shared account or date keys to build a reusable performance model in PostgreSQL.

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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