Trustpilot Scraper
Pricing
Pay per event
Scrape Trustpilot reviews and business profiles. Extract ratings, review text, dates, verification status, company replies, and contact info. Search businesses by keyword. Export to JSON, CSV, Excel.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Stas Persiianenko
Actor stats
0
Bookmarked
16
Total users
8
Monthly active users
17 hours ago
Last modified
Categories
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You can access the Trustpilot Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "mode": "reviews",10 "businessUrls": ["www.amazon.com"],11 "reviewSort": "recency",12 "searchQueries": ["web hosting"],13 "maxResults": 20,14}15
16# Run the Actor and wait for it to finish17run = client.actor("automation-lab/trustpilot-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Trustpilot Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: