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Glassdoor Company Reviews Scraper icon

Interview Prep: Glassdoor Reviews for One Company

Prepping for an interview? Pull one company's Glassdoor reviews for reported difficulty, process notes and what current employees say about working there.

Run this use case nowRun on Apify →

How it works

  1. 1
    Open it on Apify

    Hit Run on Apify — it opens the tool in the cloud, no install.

  2. 2
    Set the inputs

    Adjust mode, companyUrls, companyNames (sensible defaults are pre-filled).

  3. 3
    Click Run

    The tool runs on Apify’s cloud and collects the data for you.

  4. 4
    Export the results

    Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

FieldWhat it doesType
modeSample = return a few built-in example reviews instantly, no proxy, no charge (a free preview; this is what the automated check runs). Live = scrape real Glassdoor reviews (a RESIDENTIAL proxy is strongly recommended — Glassdoor is Cloudflare-protected).string
companyUrlsGlassdoor company reviews URLs, e.g. "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm". The employer id (the E-number) is read from each URL. Provide at least one of "companyUrls" or "companyNames".array
companyNamesCompany names to resolve to a Glassdoor employer first, e.g. "Netflix", "Spotify". Use this when you do not have the reviews URL. Each name is matched to the closest Glassdoor employer. Provide at least one of "companyUrls" or "companyNames".array
maxReviewsHow many reviews to collect per company (the scraper paginates by 10 per page).integer
notionConnectorOptional. Write each review as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.string
notionParentIdOptional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.string

What you get

A structured dataset — each result includes fields like:

companyNamescompanyUrlsdetailsmaxReviews

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

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