Trustpilot Reviews Scraper

Overview

An Apify actor that scrapes reviews and business data from Trustpilot. It outputs detailed review information and aggregated location/business details. Designed for e-commerce and automation workflows.

Key Features

• Reliable scraping: Uses residential proxies, dynamic headers, and session pooling to avoid blocks.
• Granular control: Respects all filters and sorting options present in the input Trustpilot URLs.
• Batch processing: Can scrape from multiple start URLs in a single run.
• Configurable limits: Set a maximum number of reviews to scrape per URL.
• Deduplication: Optional removal of duplicate results across all provided URLs.
• Dual output: Saves individual reviews to the dataset and aggregated location details to the key-value store.

How to Use

Configure the actor run with an input JSON object. The core parameter is start_urls, an array of objects each containing a url pointing to a Trustpilot reviews page (e.g., https://www.trustpilot.com/review/example.com). You can include URLs with any existing filters (like ?stars=4&verified=true).

Input/Output

Input Example:

{
  "start_urls": [
    {
      "url": "https://www.trustpilot.com/review/timports.co.uk?languages=all"
    },
    {
      "url": "https://it.trustpilot.com/review/www.trenitalia.com"
    }
  ],
  "deduplicate_results_across_all_start_urls": true,
  "max_results": 50
}

Output:
The actor produces two main outputs:

1. Dataset (Reviews): Contains an array of JSON objects for each scraped review. Fields include id, title, text, rating, consumer details, dates, business reply, and verification labels. The field names match those returned by Trustpilot's API.

2. Key-Value Store (Location Aggregations): Stores a JSON object for each unique business location, containing aggregated details like businessUnit info (name, trust score, categories), numberOfReviews, and trustScore.

Review Output Snippet:

{
  "businessUnit": "timports.co.uk",
  "id": "676e5b71b0c4c4b72914c63e",
  "title": "Satisfied customer.",
  "text": "First time ordering...",
  "rating": 4,
  "consumer": {
    "displayName": "Elaine",
    "countryCode": "GB"
  },
  "reply": {
    "message": "Hi Elaine, thank you..."
  }
}

Notes:
* Output is in JSON format due to the nested data structure.
* Find the actor on the Apify platform: https://apify.com?fpr=python_automation