🏆 Clutch Scraper Pro - Most Complete Data Extraction

The most comprehensive and reliable Clutch scraper on Apify marketplace. Extract complete company profiles with 70+ data fields including pricing information, detailed business metrics, enhanced review analysis, LinkedIn company pages, business verification details, credit reports, and social media links. Features intelligent deduplication, KV caching, and blazing-fast performance.

🚀 Why Choose This Scraper?

✨ Why Choose This Scraper?

• 70+ Data Fields: The most complete profile coverage on Clutch including pricing & business details
• Comprehensive Business Data: Min project size, hourly rates, employee count, founding year 🆕
• Enhanced Review Analysis: Project summaries, feedback analysis, detailed ratings breakdown 🆕
• Client Testimonials: Complete "What Clients Have Said" sections with pricing insights 🆕
• LinkedIn Company Pages: Smart extraction of real LinkedIn company URLs (not policy links)
• Business Verification: Complete Business Entity details, Credit Risk Assessment, legal filings
• Social Media Links: LinkedIn, Facebook, X (Twitter), Instagram from official social sections
• Intelligent Deduplication: Removes duplicates across list pages and runs
• Real Domain Extraction: Optional redirect following for accurate domains
• KV Profile Cache: Reuse parsed detail pages across runs to save time and CUs
• Apify Proxy Support: Use residential/datacenter groups and optional country pinning
• Review Sorting: relevance, recent, ratingHighToLow, ratingLowToHigh
• Robust Error Handling: Retries, timeouts, and safe fallbacks
• Detailed Statistics: Duplicates, errors, speed, runtime summary
• Multiple Export Formats: CSV, Excel, JSON, XML with clean, flat columns
• Blazing Fast: 90+ companies/minute in LIST_DETAIL in real-world runs

📊 Data Fields Extracted

Company Information

• Company name, logo, tagline
• Clutch URL and website URL
• Real domain (with redirect following option)
• Rating and reviews count
• Verification status (VERIFIED, PREMIER VERIFIED)
• Founded year
• Timezone
• Full description

Business Details 🆕

• Min project size: Minimum project budget requirement ($USD)
• Hourly rate range: From/to hourly rates ($USD/hr)
• Employees count: Team size range (e.g., "50-249", "2-9")
• Year founded: Company establishment year
• Most common project size: Typical project budget based on reviews
• Client testimonials: "What Clients Have Said" summary with pricing insights
• Multiple locations: Complete address information with country/region

Service Breakdown

• Services with percentages
• Focus areas with percentages
• Industries served with percentages
• Client focus (size/type) with percentages

Social Media & Contact

• LinkedIn Company Pages: Smart URL extraction (e.g., /company/acme-corp/)
• Facebook Pages: Official business pages
• X (Twitter): Company Twitter handles
• Instagram: Business Instagram accounts
• Real website domains (with redirect resolution)

Verification & Trust

• Business Entity: Legal name, status, jurisdiction, formation date, entity ID
• Credit Report Results: International Credit Risk Assessment, source, last updated
• Verification Status: VERIFIED, PREMIER VERIFIED, GOLD VERIFIED badges
• Legal Filings: Bankruptcy, tax liens, judgments, collections count
• Last Updated: When verification data was last refreshed

Reviews (Optional)

• Review title and rating
• Review date and comments
• Reviewer details
• Project services, size, and length
• Quality, schedule, cost ratings
• Willingness to refer rating

Additional Data

• Multiple office addresses
• Portfolio items
• Custom fields via extension function

🎯 Scraping Modes

Mode	Description	Best For
LIST	Extract company data from listing pages only	Quick overview, basic info
LIST_DETAIL	Extract from listings + full detail pages	Complete profiles with all data
LIST_WEBSITES	Optimized mode - details only for missing websites	Fast extraction with websites

🔧 Input Configuration

{
  "startUrls": [
    { "url": "https://clutch.co/us/agencies/digital-strategy" }
  ],
  "scrapeMode": "LIST_DETAIL",
  "maxResults": 300,
  "includeReviews": true,
  "maxReviewsPerCompany": 5,
  "includePortfolio": true,
  "exportFormat": "CSV",
  "followRedirects": true,
  "clearDataset": true
}

Input Parameters

Parameter	Type	Default	Description
startUrls	Array	Required	Clutch.co URLs to scrape (list or profile pages)
scrapeMode	String	LIST_DETAIL	Scraping mode: LIST, LIST_DETAIL, LIST_WEBSITES
includeReviews	Boolean	false	Extract company reviews
maxReviewsPerCompany	Number	10	Maximum reviews per company
reviewSortBy	String	relevance	Sort reviews: relevance, recent, ratingHighToLow, ratingLowToHigh
includePortfolio	Boolean	true	Extract portfolio items
maxResults	Number	-	Maximum total companies to extract
maxPagesPerSearch	Number	-	Maximum pages per search URL
maxRequestsPerCrawl	Number	0	Maximum total requests (0 = unlimited)
exportFormat	String	JSON	Export format: JSON, CSV, EXCEL, XML
followRedirects	Boolean	false	Follow redirects to get real domains
useApifyProxy	Boolean	false	Use Apify Proxy
apifyProxyGroups	Array	["RESIDENTIAL"]	Proxy groups to use
apifyProxyCountry	String	-	Proxy country code (e.g., US)
useHeadless	Boolean	true	Run browser in headless mode
clearDataset	Boolean	false	Clear dataset before run
extendOutputFunction	String	-	Custom JS function to extend output
useProfileCache	Boolean	false	Use KV cache for detail pages
profileCacheTtlDays	Number	0	Cache TTL in days (0 = never expire)
profileCacheVersion	String	""	Bump to invalidate old cache

🚀 Performance

• In a recent LIST_DETAIL benchmark on https://clutch.co/us/agencies/digital-strategy with reviews enabled (max 5 per company), the scraper achieved:
  • Average speed: ~90 companies/minute
  • Total unique companies: 9,750
  • Runtime: ~108 minutes
  • Settings: scrapeMode=LIST_DETAIL, includeReviews=true, reviewSortBy=recent, maxReviewsPerCompany=5, exportFormat=CSV

Actual speed depends on filters, network, anti-bot pressure, and selected options (reviews/portfolio/proxy).

📈 Performance & Statistics

After each run, you'll see detailed statistics:

================================================================================
                        SCRAPING COMPLETED SUCCESSFULLY
================================================================================

📊 SUMMARY STATISTICS:
   • Total unique companies collected: 275
   • Total companies processed (with duplicates): 436
   • Duplicates removed: 161
   • Runtime: 3m 51s
   • Average speed: 71 companies/minute

🔍 SCRAPING DETAILS:
   • Scrape mode: LIST_DETAIL
   • Reviews included: Yes (max 3 per company)
   • Export format: CSV
   • Exported file: clutch-export-2024-01-15.csv

✅ NO ERRORS DETECTED

🎯 PERFORMANCE METRICS:
   • Average time per company: 842ms
   • Total runtime: 231614ms

================================================================================

💾 Output Formats

CSV Export

• Perfectly formatted with all fields as columns
• Special handling for arrays (services, industries, etc.)
• HTML entities decoded and cleaned
• Review and portfolio data in indexed columns

Output Schema (CSV/JSON)

Below is the complete list of fields the scraper can output and how they appear in CSV (flattened) vs JSON (nested):

• Top-level fields (LIST and LIST_DETAIL)

  • companyName (string)
  • clutchUrl (string)
  • websiteUrl (string)
  • domain (string, without www.)
  • logoUrl (string)
  • tagline (string)
  • rating (number)
  • reviewsCount (number)
  • verificationStatus (string: VERIFIED | PREMIER VERIFIED | GOLD VERIFIED | empty)
  • minProjectSize (number, e.g., 25000) 🆕
  • hourlyRateFrom (number) 🆕
  • hourlyRateTo (number) 🆕
  • employees (string, e.g., "50-249", "2-9") 🆕
  • yearFounded (number, e.g., 2015) 🆕
  • location (string)

• Social Media Links 🆕

  • JSON: socialLinks: { linkedIn, facebook, x, instagram }
  • CSV: socialLinks_linkedIn, socialLinks_facebook, socialLinks_x, socialLinks_instagram

• Services (list page chips)

  • JSON: services: [{ name: string, percent|percentage: number }]
  • CSV: services_{Service_Name} = numeric percentage

• Focus Areas (detail)

  • JSON: focusAreas: [{ name: string, percentage: number }]
  • CSV: focusAreas_{Area_Name} = numeric percentage

• Industries (detail)

  • JSON: industries: [{ name: string, percentage: number }]
  • CSV: industries_{Industry_Name} = numeric percentage

• Client Focus (detail)

  • JSON: clientFocus: [{ name: string, percentage: number }]
  • CSV: clientFocus_{Client_Type} = numeric percentage

• Most Common Project Size (detail)

  • JSON: mostCommonProjectSize (number)
  • CSV: mostCommonProjectSize

• Client Testimonials (detail) 🆕

  • JSON: clientTestimonial (string, "What Clients Have Said" section)
  • CSV: clientTestimonial

• Timezone (detail)

  • JSON: timezone (string)
  • CSV: timezone

• Full Description (detail)

  • JSON: fullDescription (string)
  • CSV: fullDescription

• Addresses (detail)

  • JSON: addresses: [{ title, street, locality, region, postalCode, country, phone }]
  • CSV: addresses_0_title, addresses_0_street, addresses_0_locality, addresses_0_region, addresses_0_postalCode, addresses_0_country, addresses_0_phone, ... (indexed per address)

• Portfolio (detail, optional)

  • JSON: portfolio: [{ image, description }]
  • CSV: portfolio_0_image, portfolio_0_description, portfolio_1_image, ...

• Reviews (detail, optional) 🆕 Enhanced

  • JSON per review item:
    • name (string)
    • rating (number)
    • date (string)
    • comments (string; main review quote)
    • projectSummary (string; detailed project description) 🆕
    • feedbackSummary (string; results and outcomes summary) 🆕
    • detailedRatings (array; Quality, Schedule, Cost ratings with comments) 🆕
    • fullReview (string; complete review text) 🆕
    • reviewerName (string)
    • reviewerPosition (string)
    • projectServices (string; semicolon-separated)
    • projectSize (string)
    • projectLength (string)
  • CSV (indexed and flattened):
    • review_0_name, review_0_rating, review_0_date, review_0_comments, review_0_projectSummary, review_0_feedbackSummary, review_0_detailedRatings_0_category, review_0_detailedRatings_0_rating, review_0_detailedRatings_0_comment, review_0_fullReview, review_0_reviewerName, review_0_reviewerPosition, review_0_projectServices, review_0_projectSize, review_0_projectLength, ...

• Verification Details (detail) 🆕

  • JSON: verificationDetails: { verificationStatus, businessEntity: { name, status, jurisdictionOfFormation, ID, source, lastUpdated, dateOfFormation }, paymentLegalFilings: { bankruptcy, taxLienFilings, judgementFilings, collectionsCount, source, lastUpdated, fullBusinessCreditReport } }
  • CSV (flattened):
    • verificationDetails_verificationStatus
    • verificationDetails_businessEntity_name, verificationDetails_businessEntity_status, verificationDetails_businessEntity_jurisdictionOfFormation, verificationDetails_businessEntity_ID, verificationDetails_businessEntity_source, verificationDetails_businessEntity_lastUpdated, verificationDetails_businessEntity_dateOfFormation
    • verificationDetails_paymentLegalFilings_bankruptcy, verificationDetails_paymentLegalFilings_taxLienFilings, verificationDetails_paymentLegalFilings_judgementFilings, verificationDetails_paymentLegalFilings_collectionsCount, verificationDetails_paymentLegalFilings_source, verificationDetails_paymentLegalFilings_lastUpdated, verificationDetails_paymentLegalFilings_fullBusinessCreditReport

• Credit Report Results (detail) 🆕

  • JSON: creditReportResults: { internationalCreditRiskAssessment, source, lastUpdated }
  • CSV: creditReportResults_internationalCreditRiskAssessment, creditReportResults_source, creditReportResults_lastUpdated

• Verification Last Updated 🆕

  • JSON/CSV: verificationLastUpdated (string, e.g., "August 8, 2025")

Notes:

• 🆕 Social media extraction from official "Connect with [Company] on Social" sections
• 🆕 Business verification data including legal entity details and credit assessments
• CSV экспорт автоматически декодирует HTML-сущности и чистит лишние пробелы
• Списки (reviews, portfolio, addresses) индексируются: _0_, _1_, ...
• Процентные поля сохраняются числом; фильтрация по ним в таблицах проста

JSON Output

Complete nested structure with all relationships preserved.

🛠️ Advanced Usage

Extract Companies with Specific Filters

{
  "startUrls": [
    { "url": "https://clutch.co/agencies/digital-marketing?employees=10%20-%2049" }
  ],
  "scrapeMode": "LIST_DETAIL",
  "includeReviews": true,
  "followRedirects": true,
  "maxResults": 100
}

Custom Data Extension

{
  "extendOutputFunction": "($, data) => ({ 
    customScore: data.rating * data.reviewsCount,
    scrapedAt: new Date().toISOString(),
    hasPortfolio: data.portfolio?.length > 0 
  })"
}

🐛 Error Handling

The scraper includes robust error handling:

• Continues on individual page failures
• Retries failed requests up to 3 times
• Handles frame detachment errors
• Manages navigation timeouts
• Provides detailed error statistics

🔄 Deduplication

Intelligent deduplication ensures you only get unique companies:

• Tracks companies globally across all pages
• Removes duplicates automatically
• Reports exact number of duplicates removed
• Maintains data quality and accuracy

🤝 Support

• 📧 Email: support@your-email.com
• 🐛 Issues: GitHub Issues
• 📖 Documentation: Full Docs

📄 License

ISC License - feel free to use in your projects!

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Note: This scraper is not affiliated with Clutch.co. Please respect their Terms of Service and use responsibly.