Angry Customer Lead Generator
Pricing
$10.00 / 1,000 verified negative review (lead)s
Angry Customer Lead Generator
Given a link for trustpilot like the one in the example it will scrape and return negative reviews making it much easier to identify issues to whomever can use that information.
Pricing
$10.00 / 1,000 verified negative review (lead)s
Rating
0.0
(0)
Developer
Anthony Aivaliotis
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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Trustpilot Angry Customer Lead Generator
Stop cold-calling. Start intercepting.
This Actor is a highly targeted B2B Lead Generation engine. It extracts negative reviews (1-star and 2-star) from any Trustpilot company page, allowing your sales team to instantly identify frustrated customers who are actively looking for a better solution.
The Use Case (Competitor Interception)
When a company drops the ball, their customers go to Trustpilot to vent. By scraping your competitors' negative reviews, you can build a real-time database of people who are practically begging for a competitor to swoop in and solve their problem.
Example Outreach: > "Hey [Name], I saw your recent review about [Competitor's] hidden fees. We built our entire platform to solve that exact problem. Would you be open to a quick chat?"
Features
- Semantic Filtering: Bypasses Trustpilot's layout noise to extract pure, clean complaints.
- Pagination Support: Automatically clicks through multiple pages to pull hundreds of leads in a single run.
- Structured Data: Outputs a pristine CSV/JSON file ready to be imported directly into your CRM (Salesforce, HubSpot, Apollo, etc.).
How to Use
- Go to Trustpilot.com.
- Search for a competitor you want to track.
- Click the "1-star" and "2-star" filters on their review page.
- Copy the URL from your browser and paste it into the
Start URLsfield of this Actor. - Set your
Max Pageslimit and click Start!
Output Data Structure
The scraper exports a clean dataset with the following columns:
review_title: The headline of the customer's complaint.complaint: The full body text of the review.rating: The exact star rating (e.g., "Rated 1 out of 5 stars").target_url: The URL where the review was found for easy verification.
