
Trustpilot Business & Review Data Extractor
Pricing
$5.00/month + usage

Trustpilot Business & Review Data Extractor
Powerful and flexible Trustpilot scraper to extract business information, company details, and customer reviews. Supports scraping reviews by business or category, customizable limits, and advanced filtering. Ideal for market research, sentiment analysis, lead generation, and data enrichment.
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Pricing
$5.00/month + usage
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Last modified
4 hours ago
You can access the Trustpilot Business & Review Data Extractor 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.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?actors=dataraptor/trustpilot-business-review-data-extractor", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}
Configure MCP server with Trustpilot Scraper – Business & Review Data Extractor
You have a few options for interacting with the MCP server:
Use
mcp.apify.com
viamcp-remote
from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/?actors=dataraptor/trustpilot-business-review-data-extractor
along with an API token (or use OAuth).Connect to
mcp.apify.com
via Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/?actors=dataraptor/trustpilot-business-review-data-extractor", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.