Glassdoor Reviews Scraper

How it works

Extract detailed employee reviews from Glassdoor. Gather comprehensive insights including ratings, comments, and company responses to inform your HR strategies and market research. This actor allows you to scrape Glassdoor reviews and get important details such as review title, description or body of review, rating, date, location, author's job title and is author a current or former employee, review URL, pros and cons of a review, comment(s) of review.

Features

• Company-Specific Scraping: Target any Glassdoor company page to extract all associated reviews.
• Comprehensive Review Data: Collect detailed information including review ratings, titles, pros, cons, and company responses.
• Customizable Scraping: Set the maximum number of reviews to scrape based on your needs.
• Multi-language Support: Capable of scraping reviews in various languages (as shown in the French example).
• Proxy Support: Utilize proxy configurations to enhance scraping reliability and avoid rate limiting.

How to Use

1. Set Up: Ensure you have an Apify account and access to the Glassdoor Reviews Scraper actor.
2. Configure Input:
   • Start URLs: Enter the Glassdoor company review URL you want to scrape (e.g., https://www.glassdoor.fr/Avis/Aza%C3%A9-Avis-E1360610.htm).
   • Max number of reviews: Set the maximum number of reviews to scrape (optional, default: 100).
   • Cookies: Add any necessary cookies for authentication.
   • Proxy Configuration: Set up proxy settings for enhanced reliability (recommended).
3. Run the Scraper: Launch the actor on the Apify platform.
4. Collect Data: Retrieve the scraped data in your preferred format (JSON, CSV, etc.).

Input Parameters

• startUrls: Array of Glassdoor company review URLs to scrape.
• maxNumberOfReviews: Maximum number of reviews to scrape (default: 7000).
• cookies: Any required cookies for authentication.
• proxyConfiguration: Proxy settings for the scraper (recommended).

Output Structure

The scraper provides detailed information for each review. Here's a sample of the data structure:

1{
2    "reviewId": "73011938",
3    "author": {
4      "jobTitle": "Opérateur de saisie",
5      "isCurrentlyWorking": true
6    },
7    "title": "pas mal",
8    "rating": "3,0",
9    "points": {
10      "positivePoints": "espace de travail est bien",
11      "negativePoints": "beaucoup de travail mais peut de salaire"
12    },
13    "date": "2023-01-26T00:00:00.000Z",
14    "comment": {
15      "body": "Bonjour,\nNous vous remercions d'avoir pris le temps de nous évaluer. Nous sommes ravis que vous soyez satisfait(e) de votre carrière professionnelle chez nous.\nBien cordialement,\nLe service Ressources Humaines",
16      "date": "09/03/2022"
17    }
18}

Field Descriptions:

• reviewId: Unique identifier for the review
• author: Information about the review author
  • jobTitle: Job title of the reviewer
  • isCurrentlyWorking: Boolean indicating if the reviewer is a current employee
• title: Title of the review
• rating: Numerical rating given by the reviewer
• points: Pros and cons of the company
  • positivePoints: Positive aspects mentioned in the review
  • negativePoints: Negative aspects mentioned in the review
• date: Date the review was posted
• comment: Company's response to the review (if any)
  • body: Text of the company's response
  • date: Date of the company's response

Support

• For issues or feature requests, please use the Issues section of this actor.
• If you need customization or have questions, feel free to contact the author:
  • Author's website: https://muhamed-didovic.github.io/
  • Email: muhamed.didovic@gmail.com
  • My Apify Actors/Scrapers: https://apify.com/memo23

Additional Services

• Request customization or whole dataset: muhamed.didovic@gmail.com
• If you need anything else scraped, or this actor customized, email: muhamed.didovic@gmail.com
• For API services of this scraper (no Apify fee, just usage fee for the API), contact: muhamed.didovic@gmail.com