Clutch.co Reviews Scraper

Extract client reviews from Clutch.co profile pages in a clean, structured dataset. Collect review content, ratings, review dates, reviewer names, and profile-level rating context with configurable pagination. Ideal for market research, agency benchmarking, and reputation monitoring.

Features

• Profile URL scraping — Run on one or many Clutch profile URLs in a single job
• Fast paginated collection — Pull review pages through lightweight requests instead of browser rendering
• Structured review output — Get normalized review fields for analysis workflows
• Clean dataset records — Empty and null values are removed from output items

Use Cases

Competitor Intelligence

Track how competitors are reviewed by their clients over time. Compare average ratings, review language, and project feedback trends.

Agency Vetting

Build a shortlist of service providers using review quality signals before outreach or procurement decisions.

Reputation Monitoring

Monitor newly published reviews and changes in sentiment for a target profile or group of profiles.

Sales Research

Use review text to understand customer pain points, common deliverables, and preferred engagement models.

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Input Parameters

Parameter	Type	Required	Default	Description
urls	Array	No	["https://clutch.co/profile/innowise#reviews"]	Profile URLs to scrape
results_wanted	Integer	No	20	Maximum reviews to return
max_pages	Integer	No	3	Maximum review pages to open per profile
sort_by	String	No	"relevance_desc"	Review order (relevance_desc, date_desc, rating_desc, rating_asc)
proxyConfiguration	Object	No	{ "useApifyProxy": true }	Proxy settings for reliability

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Output Data

Each dataset item contains:

Field	Type	Description
profileUrl	String	Clutch profile URL
profileName	String	Company name from profile
profileWebsite	String	Company website URL
profileImage	String	Profile image URL
profileDescription	String	Profile summary text
profileLocation	String	Profile location
aggregateRatingValue	Number	Overall profile rating
aggregateReviewCount	Integer	Total review count shown on profile
reviewPage	Integer	Page number where review was found
reviewSortBy	String	Review sorting mode used
reviewId	String	Review identifier or canonical URL
reviewTitle	String	Review title
reviewText	String	Review content
reviewDate	String	Review published date
reviewRating	Number	Review rating value
reviewBestRating	Number	Maximum rating scale value
reviewWorstRating	Number	Minimum rating scale value
reviewerName	String	Reviewer name
reviewerRole	String	Reviewer role/title
reviewerIndustry	String	Reviewer company industry
reviewerLocation	String	Reviewer location
reviewerCompanySize	String	Reviewer company size
reviewerVerified	Boolean	Whether Clutch marks reviewer as verified
reviewType	String	Review submission type (for example, online review)
reviewServices	Array	Services listed for this review
reviewProjectSize	String	Project budget band
reviewProjectLength	String	Project duration
reviewQualityRating	Number	Detailed quality score
reviewScheduleRating	Number	Detailed schedule score
reviewCostRating	Number	Detailed cost/value score
reviewWillingToReferRating	Number	Detailed willingness-to-refer score
reviewBackground	String	Background section content
reviewChallenge	String	Challenge section content
reviewSolution	String	Solution section content
reviewResults	String	Results and feedback section content
reviewUrl	String	Share URL of the individual review
totalReviewsOnProfile	Number	Total review count visible on profile pagination
reviewPositionOnPage	Integer	Review order on that page
fetchedAt	String	Extraction timestamp

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Usage Examples

Single Profile URL

{
  "urls": ["https://clutch.co/profile/innowise#reviews"],
  "results_wanted": 20,
  "max_pages": 3
}

Multiple Profiles

{
  "urls": [
    "https://clutch.co/profile/innowise",
    "https://clutch.co/profile/pattern-1#reviews"
  ],
  "results_wanted": 80,
  "max_pages": 5,
  "sort_by": "date_desc"
}

Sample Output

{
  "profileUrl": "https://clutch.co/profile/innowise",
  "profileName": "Innowise",
  "profileWebsite": "https://innowise.com",
  "profileLocation": "Warszawa, Poland",
  "aggregateRatingValue": 4.9,
  "aggregateReviewCount": 72,
  "reviewPage": 1,
  "reviewSortBy": "relevance_desc",
  "reviewTitle": "Backend development for healthcare platform",
  "reviewText": "Innowise set up a secure system to manage sensitive data and automated workflows to reduce manual tasks.",
  "reviewDate": "2026-01-14",
  "reviewRating": 5,
  "reviewerName": "CTO",
  "reviewPositionOnPage": 1,
  "fetchedAt": "2026-04-29T12:45:11.942Z"
}

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Tips for Best Results

Use Canonical Profile URLs

• Prefer profile URLs in the format https://clutch.co/profile/<slug>
• #reviews is optional; it is handled automatically

Start Small, Then Scale

• Use results_wanted: 20 for quick validation
• Increase max_pages only when needed for larger runs

Keep Inputs Focused

• Provide direct profile URLs in urls for the best reliability

Improve Reliability

• Use proxy configuration for long runs or large URL lists
• Split very large batches into multiple runs

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Integrations

Connect your dataset with:

• Google Sheets — Build quick reporting dashboards
• Airtable — Create searchable review databases
• Slack — Send notifications when runs finish
• Zapier — Trigger downstream automations
• Make — Build multi-step data pipelines
• Webhooks — Deliver run completion events to your apps

Export Formats

• JSON — Application and API workflows
• CSV — Spreadsheet and BI workflows
• Excel — Business reporting
• XML — Legacy integrations

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Frequently Asked Questions

Can I scrape multiple profile URLs at once?

Yes. Pass multiple URLs in urls and the actor will process each profile.

Why are some fields missing in some rows?

Some reviews do not expose every attribute. Empty/null fields are removed from output by design.

Can I control review order?

Yes. Use sort_by with supported values: relevance_desc, date_desc, rating_desc, rating_asc.

How many reviews can I collect in one run?

As many as available within your results_wanted and max_pages limits.

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Support

For issues or feature requests, use the Apify Console actor issue section.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is designed for legitimate data collection and research purposes. Users are responsible for complying with applicable laws, platform terms, and data protection requirements in their jurisdiction.