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🧠 Trustpilot Business Scraper - API Based

This Apify actor retrieves verified business data through the Trustpilot search API. Search by query to collect structured business information including name, trust score, reviews count, contact details, location, and categories. Perfect for B2B lead generation, market research, and business intelligence.

✅ Use Cases

• 📇 Generate business leads with verified trust scores
• 💬 Build contact lists for cold outreach campaigns
• 🏙️ Conduct market research by location and category
• 🧭 Perform competitive analysis in your niche
• 📊 Gather structured business intelligence from Trustpilot

📥 Input Configuration

You can customize the actor using the following input fields:

{
"query":"Jewelry store in New York",
"maxPages":10,
"minTrustScore":4.0,
"minReviews":100
}

🧾 Fields Explained

📤 Output

The actor returns a dataset containing structured business records from Trustpilot. Each record includes comprehensive details about the business, suitable for lead generation, analytics, and market research.

🧩 Sample Output

{
"businessUnitId":"5d9d8280c8dfa00001c8546c",
"displayName":"Talisa Jewelry",
"identifyingName":"talisa.com",
"stars":4,
"trustScore":4.1,
"numberOfReviews":1898,
"location":{
"address":"250 Greenwich St",
"city":"New York",
"zipCode":"10007",
"country":"United States"
},
"contact":{
"website":"https://www.talisa.com/",
"email":"support@talisa.com",
"phone":"+1 (646) 846-1810"
},
"categories":[
{
"categoryId":"jewelry_store",
"displayName":"Jewelry Store",
"isPredicted":false
},
{
"categoryId":"jewelry_designer",
"displayName":"Jewelry Designer",
"isPredicted":false
}
],
"logoUrl":"https://s3-eu-west-1.amazonaws.com/tpd/logos/5d9d8280c8dfa00001c8546c/0x0.png",
"isRecommendedInCategories":false,
"trustpilotUrl":"https://www.trustpilot.com/review/talisa.com"
}

📋 Output Fields

🔍 Data Source

• ✓ Data fetched exclusively via Trustpilot search API (HTTP GET requests)
• ✓ No HTML scraping or DOM parsing
• ✓ Verified business information directly from Trustpilot
• ✓ Automatic filtering and deduplication

🔒 Proxy Configuration

This actor uses standard HTTP headers with optional proxy support for:

• Avoiding IP-based rate limiting or bans
• Accessing location-specific data
• Ensuring stable data retrieval at scale

Configure proxy settings in Apify:

{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"],
"apifyProxyCountry":"US"
}

🚀 How to Use

1. Open the actor in Apify Console
2. Click "Try actor" or create a new task
3. Enter your search query (e.g., "Jewelry store in New York")
4. Configure optional filters (minimum trust score, minimum reviews)
5. Run the actor
6. Download results in JSON, CSV, or Excel format

⚙️ Advanced Input Example

{
"query":"Software companies in San Francisco",
"maxPages":20,
"minTrustScore":4.5,
"minReviews":500
}

🛠️ Tech Stack

• Apify SDK — actor orchestration and data handling
• Node.js 18+ — runtime environment with native fetch API
• Trustpilot Search API — exclusive data source for business information

📊 Data Processing Features

• ✓ Automatic duplicate detection using Business Unit IDs
• ✓ Filtering by minimum trust score and review count
• ✓ Structured data parsing and normalization
• ✓ Comprehensive logging and error handling
• ✓ Schema validation for all output records

🔧 Local Development

Installation

$npminstall

Running the Actor

$npm start

Validation

Validate all generated datasets against the schema:

$node validate-datasets.js

Code Quality

Format code:

$npm run format

Check linting:

$npm run lint

📂 Project Structure

.
├── .actor/ # Actor configuration
│ ├── actor.json # Actor metadata
│ ├── input_schema.json # Input parameters schema
│ ├── dataset_schema.json # Output dataset schema
│ ├── input.json # Default input
│ ├── input-local.json # Local development input
│ └── input-production.json # Production input
├── src/
│ └── main.js # Main actor script
├── storage/
│ └── datasets/default/ # Generated datasets
├── package.json # Dependencies
├── validate-datasets.js # Dataset validator
└── README.md # This file

🤝 Support

For issues, questions, or feature requests, please refer to the Apify documentation or contact support.