Trustpilot Reviews Scraper

This Apify Actor is designed to scrape reviews for a specific company from Trustpilot. It retrieves detailed information about reviews, including the review text, rating, consumer details, and more.

How to Use

1. Input Configuration: The Actor requires the following input parameters:

   • identifyingName (string, required): The identifying name of the company to scrape reviews for, e.g., www.moerie.com.
   • languages (string, optional): The language of the reviews to scrape, e.g., en for English, de for German, or all for all languages. Default is en.
   • stars (array, optional): The star ratings of the reviews to scrape, e.g., [1, 5] for all reviews from 1 to 5 stars.
   • search (string, optional): A search term to filter reviews by content.
   • date (string, optional): The date range of the reviews to scrape, e.g., last12months, last6months, last30days, last7days. Default is all.
   • verified (boolean, optional): Whether to scrape only verified reviews. Default is false.
   • replies (boolean, optional): Whether to include reviews with replies from the company. Default is false.
   • sort (string, optional): The sorting order of the reviews. Options: most_recent (default), relevance.
   • size (integer, optional): The maximum number of reviews to scrape. Default is 10.

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:

   {
       "identifyingName": "www.moerie.com",
       "languages": "en",
       "stars": [1, 5],
       "search": "refund",
       "date": "last12months",
       "verified": true,
       "replies": true,
       "sort": "most_recent",
       "size": 20
   }
   

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

   • id: The unique ID of the review.
   • consumer: Details about the consumer who wrote the review, including:
     • id: The unique ID of the consumer.
     • displayName: The display name of the consumer.
     • imageUrl: The URL of the consumer's profile image.
     • numberOfReviews: The total number of reviews written by the consumer.
     • countryCode: The country code of the consumer.
     • hasImage: Whether the consumer has a profile image.
     • isVerified: Whether the consumer is verified.
   • title: The title of the review.
   • text: The content of the review.
   • rating: The star rating of the review.
   • likes: The number of likes the review received.
   • source: The source of the review (e.g., Organic).
   • createdAt: The date and time the review was created.
   • reply: The company's reply to the review, if available.
   • consumersReviewCountOnSameDomain: The number of reviews the consumer has written for the same domain.
   • consumersReviewCountOnSameLocation: The number of reviews the consumer has written for the same location.
   • language: The language of the review.
   • location: The location associated with the review, if available.

4. Example Output:

   [
       {
           "id": "697e2ba9a7466f37f9b7af8b",
           "consumer": {
               "id": "56f97a2a0000ff000a126492",
               "displayName": "ruta mikolaitiene",
               "imageUrl": "",
               "numberOfReviews": 4,
               "countryCode": "GB",
               "hasImage": false,
               "isVerified": false
           },
           "title": "Hair care review",
           "text": "Firstly i was very much looking forward to the hair care due to amazing advertising. After every wash i noticed increased itchy scalp, more tangled hair and more hair loss...",
           "rating": 1,
           "likes": 0,
           "source": "Organic",
           "createdAt": "2026-01-31T18:19:53.000Z",
           "reply": null,
           "consumersReviewCountOnSameDomain": 1,
           "consumersReviewCountOnSameLocation": null,
           "language": "en",
           "location": null
       }
   ]
   

Use Cases

• Analyze customer feedback for a specific company.
• Filter reviews by star ratings, language, or keywords.
• Collect data for sentiment analysis or market research.

For more details, visit the Apify documentation.