We extract agency profiles, verified client reviews, service focus metrics, and Leaders Matrix rankings from Clutch.co. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Agency Profiles objects from clutch.co. All fields typed and schema-versioned.
"agency_id": "1049281", "name": "DataFlirt Engineering", "tagline": "Data Extraction at Scale", "rating": 4.9, "review_count": 42, "min_project_size": "$10,000+", "avg_hourly_rate": "$50 - $99", "employees": "50 - 249"
| # | agency_id | name | tagline | rating | review_count | min_project_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Verified Reviews objects from clutch.co. All fields typed and schema-versioned.
"review_id": "rev_98231", "agency_id": "1049281", "project_type": "Custom Software Development", "project_cost": "$50,000 to $199,999", "rating_overall": 5.0, "rating_quality": 5.0, "rating_schedule": 4.5, "review_text": "They delivered the data pipeline exactly as specified."
| # | review_id | agency_id | client_name | client_company | project_type | project_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Service Lines objects from clutch.co. All fields typed and schema-versioned.
"agency_id": "1049281", "service_category": "Development", "service_name": "Web Scraping", "percentage": 80, "focus_areas": "['Data Engineering', 'ETL']", "languages": "['Python', 'SQL']"
| # | agency_id | service_category | service_name | percentage | focus_areas | frameworks |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Leaders Matrix objects from clutch.co. All fields typed and schema-versioned.
"category": "Top B2B Service Providers", "year": 2025, "agency_id": "1049281", "rank": 14, "quadrant": "Market Leaders", "ability_to_deliver_score": 38.5, "focus_score": 41.2
| # | matrix_id | category | year | agency_id | rank | quadrant |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Portfolio Items objects from clutch.co. All fields typed and schema-versioned.
"portfolio_id": "port_4412", "agency_id": "1049281", "client_name": "Acme Corp", "project_title": "Global Price Intelligence", "industry": "Retail", "technologies_used": "['Scrapy', 'PostgreSQL']"
| # | portfolio_id | agency_id | client_name | project_title | project_description | industry |
|---|---|---|---|---|---|---|
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Our Clutch.co scraper handles every layer of the directory. We parse agency profiles, verified reviews, and service lines while managing Cloudflare protection and session limits.
Extract company size, minimum project value, average hourly rates, foundation year, and global office locations.
Capture overall ratings alongside specific subscores for quality, schedule, cost, and willingness to refer.
Map exact percentage allocations across service lines, frameworks, and programming languages for every agency.
Monitor quadrant positions and specific ability to deliver scores across hundreds of specific industry categories.
Collect historical project descriptions, client names, and technology stacks from agency portfolio pages.
Navigate aggressive bot protection and Turnstile challenges using residential IPs and realistic browser fingerprints.
Target agencies by specific city, state, or country directories to build hyper local competitive intelligence.
Track new reviews and rating changes without scraping the entire directory from scratch every single run.
Capture direct outbound links to agency websites for downstream lead generation and enrichment workflows.
Brief in. Clean data out.
Provide target categories, locations, or specific agency URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and Cloudflare handling specifically for clutch.co.
Schema validation, null rate checks, and sample review parsing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on agreed cadence.
Clutch.co protects its directory with aggressive rate limiting and Cloudflare Turnstile. Here is how we maintain steady extraction.
Clutch.co uses Cloudflare heavily. Our crawlers use residential ISP proxies with realistic browser fingerprints and automated Turnstile solvers to maintain steady access without blocks.
Reviews on Clutch contain multiple nested subscores and conditional fields based on project type. We maintain strict XPath and CSS selector chains to normalise this unstructured HTML into clean JSON.
Aggressive scraping triggers immediate IP bans. We distribute requests across thousands of residential IPs and enforce strict concurrency limits per subnet to mimic natural browsing behaviour.
Category pages often span hundreds of paginated results. Our pipeline state management ensures deep traversal without dropping records or getting stuck in infinite redirect loops.
For ongoing monitoring, we maintain a hash index of existing reviews. Subsequent runs only extract and process new client feedback to reduce compute cost and downstream processing load.
Software vendors extract agency profiles to identify partners who specialise in specific technology stacks.
Agencies monitor competitor pricing, minimum project sizes, and new client reviews to adjust market positioning.
Private equity firms screen the directory for highly rated boutique agencies matching specific revenue and headcount criteria.
Procurement platforms ingest Clutch data to enrich their internal vendor catalogues with verified reputation metrics.
Analysts track hourly rate trends and service focus shifts across different geographies and industry verticals.
PR firms monitor client reviews across multiple agencies to track sentiment and identify service delivery issues.
"Clutch.co holds the most accurate B2B agency reputation dataset available, but extracting nested review metrics requires dedicated infrastructure."
Most teams underestimate the investment required to scrape Clutch.co reliably. You need residential proxies, Cloudflare bypass mechanisms, and complex DOM parsing for nested service lines. DataFlirt absorbs that complexity so your engineers can focus on analysis.
Everything supported by our clutch.co scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and Turnstile challenges. Combined via custom middleware.
We maintain pools of residential ISP proxies to avoid Cloudflare blocks. Rotation happens per request with strict concurrency controls.
Pipelines run on AWS. Airflow handles scheduling and dependency management. All state is stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About clutch.co scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under applicable law. DataFlirt targets only public agency profiles and reviews. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and automated Turnstile solvers. Our request timing is modelled on human behaviour to avoid triggering aggressive blocks.
Yes. We can configure the pipeline to target specific city, state, or country directory paths to build highly targeted regional datasets.
Yes. We parse the entire review DOM to extract overall ratings alongside specific scores for quality, schedule, cost, and willingness to refer.
We can configure pipelines to run daily, weekly, or monthly depending on your requirements. Change detection ensures we only process new reviews on subsequent runs.
Yes. We provide a sample run of up to 500 agency profiles as part of the pre engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one time directory export or continuous review monitoring across 100K agencies, we scope, build, and operate the pipeline. Tell us what you need.
