Trustpilot Companies by Category Scraper

This Apify Actor is designed to scrape company data from Trustpilot based on a specific category. It retrieves detailed information about companies, including their ratings, reviews, contact details, and more.

How to Use

1. Input Configuration: The Actor requires the following input parameters, which are defined in the input_schema.json file:

   • categoryId (string, required): The ID of the category to scrape companies from.
   • size (integer, required): The number of companies to scrape from the specified category.
   • trustscore (string, optional): The minimum trust score of the companies to be scraped. Options: 3.0, 4.0, 4.5.
   • country (string, optional): The country code to filter companies by location (e.g., US for United States, FR for France).
   • location (string, optional): The specific location (city or zip code) to filter companies.
   • claimed (boolean, optional): Filter companies based on whether they are claimed or not.
   • sort (string, optional): The sorting order of the companies. Options: relevance, reviews_count, latest_review.

2. Run the Actor: You can run the Actor on the Apify platform or locally using the Apify SDK. Provide the required input parameters in the following format:

   {
       "categoryId": "animal_health",
       "size": 10,
       "trustscore": "4.5",
       "country": "FR",
       "location": "Lyon",
       "claimed": true,
       "sort": "reviews_count"
   }
   

3. Output: The Actor will return a JSON array containing the scraped company data. Each company includes fields such as:

   • businessUnitId: The unique ID of the company.
   • stars: The star rating of the company.
   • identifyingName: The unique identifying name of the company.
   • displayName: The display name of the company.
   • logoUrl: The URL of the company's logo.
   • numberOfReviews: The total number of reviews for the company.
   • trustScore: The trust score of the company.
   • location: The location details of the company (city, zip code, country).
   • isRecommendedInCategories: Whether the company is recommended in its categories.
   • contact: The contact details of the company (website, email, phone).
   • categories: The categories the company belongs to, including categoryId and displayName.

4. Example Output:

   [
       {
           "businessUnitId": "5eaaa7f5bea5e20001956c1a",
           "stars": 4.5,
           "identifyingName": "urgences-veterinaires-lyon.fr",
           "displayName": "Urgences Veterinaires Lyon",
           "logoUrl": "https://s3-eu-west-1.amazonaws.com/tpd/screenshotlogo-domain/5eaaa7f5bea5e20001956c1a/198x149.png",
           "numberOfReviews": 2251,
           "trustScore": 4.7,
           "location": {
               "address": null,
               "city": "LYON",
               "zipCode": null,
               "country": "France"
           },
           "isRecommendedInCategories": true,
           "contact": {
               "website": "https://www.xxx.fr",
               "email": "contact@xxx.fr",
               "phone": "000000"
           },
           "categories": [
               {
                   "categoryId": "emergency_veterinarian_service",
                   "displayName": "Emergency Veterinarian Service",
                   "isPredicted": false
               }
           ]
       }
   ]
   

Use Cases

• Analyze companies in a specific Trustpilot category.
• Collect company data for market research or competitor analysis.
• Filter companies by location, trust score, or claimed status.