Trustpilot Reviews Scraper (3-in-1)

Name: Trustpilot Reviews Scraper (3-in-1)
Author: mindseter

by mindseter

Scrape Trustpilot reviews three ways: by category, keyword, or company. Filter by stars, date, & more. Export data for market research and competitor analysis.

128 runs

8 users

Try This Actor

Opens on Apify.com

About Trustpilot Reviews Scraper (3-in-1)

Need to pull Trustpilot reviews for your project? This scraper gives you three straightforward ways to do it. You can either browse by business category, search for specific keywords, or plug in a list of company URLs directly. Once you've got your targets, you can filter the results down to exactly what you need—by star rating, language, date range, or whether the review is verified. It pulls all the data you'd expect: the full review text, the rating, any company responses, and the business's overall TrustScore. I use it to export everything to JSON, CSV, or Excel for my own market research. It's perfect for keeping an eye on competitors, understanding customer sentiment in your industry, or building lead lists based on public feedback. The setup is simple, and it runs reliably on Apify's platform, so you don't have to worry about managing your own infrastructure. If you've ever tried to manually collect this data, you'll appreciate how much time this saves.

What does this actor do?

Trustpilot Reviews Scraper (3-in-1) is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

Cloud-based execution - no local setup required
Scalable infrastructure for large-scale operations
API access for integration with your applications
Built-in proxy rotation and anti-blocking measures
Scheduled runs and webhooks for automation

How to Use

Click "Try This Actor" to open it on Apify
Create a free Apify account if you don't have one
Configure the input parameters as needed
Run the actor and download your results

Documentation

Trustpilot Reviews Scraper (3-in-1)

Overview

A fast, cost-efficient actor for scraping Trustpilot reviews at scale. It offers three distinct search modes to extract reviews from specific companies, entire categories, or keyword searches. Outputs structured data in JSON, CSV, or Excel formats.

Key Features

Three Search Modes:
- Detail Mode: Scrape specific companies by their Trustpilot URL (e.g., apple.com).
- Category Mode: Browse and scrape companies within Trustpilot categories (e.g., bank, tech) and subcategories, with country/location filters.
- Search Mode: Find companies by keyword across all of Trustpilot.
Advanced Filtering: Filter reviews by star rating, language, date range, verified purchase status, and keywords. Can include company responses.
Performance & Cost: Optimized for speed and lower compute costs; compatible with the Apify free tier.
Comprehensive Data: Extracts 30+ data points per review, including text, rating, date, reviewer info, and company profile data (TrustScore, address, etc.).
Granular Control: Configure page ranges, parallel processing, request delays, and a "last reviews" mode for quick snapshots.

How to Use

Configure the actor via input JSON, specifying the searchType and corresponding parameters.

Input Configuration Examples

Detail Mode (Specific Companies):

{
  "searchType": "detail",
  "urls": ["apple.com", "samsung.com"],
  "maxReviews": 1000,
  "filterStars": "4,5"
}

Category Mode (Browse Categories):

{
  "searchType": "category",
  "category": "bank",
  "country": "US",
  "sortByCategory": "recommended"
}

Search Mode (Keyword Search):

{
  "searchType": "search",
  "keyword": "coffee shop",
  "filterLanguage": "en"
}

Input/Output

Primary Input Parameters:
* searchType: (Required) Set to "detail", "category", or "search".
* urls: (Detail mode) Array of company URLs.
* category / keyword: (Category/Search modes) The category name or search term.
* maxReviews: Global limit for reviews per company.
* filterStars, filterLanguage, dateFilter: For filtering results.
* includeReplies: Set to true to fetch company responses.

Output Data:
The dataset contains items for each review, typically including:
* title, text, rating
* date, language
* reviewerName, reviewerCountry
* isVerified, isSpam
* companyResponse (if enabled)
* Company profile fields: companyName, trustScore, website, address