How to Scrape Trustpilot in 2026: Reviews, Ratings, and Business Data

Trustpilot hosts over 300 million reviews for 1 million+ businesses. For brand monitoring, competitive intelligence, or market research — programmatic access to this data is invaluable. This guide covers how to scrape Trustpilot reviews and business data in 2026 with Python, including working code examples and strategies for handling anti-bot protections. What Trustpilot Data Can You Extract? Reviews : text, star rating, date, author, reply from business Business profiles : overall rating, total reviews, TrustScore, categories, location Review statistics : rating distribution, review frequency over time Reviewer profiles : number of reviews, location, verification status Method 1: Scraping with Python + BeautifulSoup Trustpilot renders most content server-side, making it straightforward to parse: import requests from bs4 import BeautifulSoup import json import time import random class TrustpilotScraper : def __init__ ( self , proxy_url : str = None ): self . session = requests . Sessio