🏆 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 json { "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 json { "startUrls": [ { "url": "https://clutch.co/agencies/digital-marketing?employees=10%20-%2049" } ], "scrapeMode": "LIST_DETAIL", "includeReviews": true, "followRedirects": true, "maxResults": 100 } ### Custom Data Extension json { "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! --- Note: This scraper is not affiliated with Clutch.co. Please respect their Terms of Service and use responsibly.