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How to Scrape Clutch Company Listings to CSV

Scrape Clutch company listings to CSV. Extract names, ratings, rates, employee ranges, locations and service focus. Runs in a local desktop app for review.

UScraper
June 21, 2026
8 min read
#how to scrape clutch#scrape clutch company listings#clutch scraper tutorial#extract data from clutch#clutch company listings to csv#clutch data extractor#clutch scraper alternative#no code clutch scraper
How to Scrape Clutch Company Listings to CSV

This tutorial shows how to scrape Clutch company listings into a reviewable CSV without building a custom crawler. You will start from approved Clutch directory URLs, import the Clutch company listing scraper template, check the export path, run pagination, and validate fields such as company name, rating, review count, hourly rate, employee range, location, service focus, and website URL.

Baseline

Prerequisites before scraping Clutch listing pages

You need the UScraper local desktop app, a small set of Clutch listing URLs you are allowed to review, a verified browser session if Clutch asks for one, and a folder where CSV exports can be audited later. Start with one category or regional directory before combining several pages into a larger batch.

The workflow fits agency discovery, B2B market mapping, vendor shortlisting, and category research. Clutch pages can change layout, delay listing cards, show alternate markup by region, or present security verification before normal listing HTML appears.

Treat the first run as a calibration pass. Export one page, inspect every column, and only then add more listing URLs or pagination depth.


Inputs and output

Choose listing URLs and map the CSV fields

The bundled Navigate block starts with two sample Clutch directory URLs. Replace them with the category, service, city, or search pages that match your project. Keep the list focused: agency categories for lead generation, regional service pages for procurement, or search pages for market mapping.

Structured Export writes one row per visible company listing card. The JSON keeps append mode enabled, so every page in the pagination loop lands in the same file.

CSV columnWhat it tries to captureValidation tip
Company_nameVisible company or profile-link textDedupe after pagination tests.
RatingNumeric Clutch rating when renderedBlank cells can signal markup drift.
Number_of_reviewsReview-count text such as "42 reviews"Spot-check against the browser.
Min_project_sizeMinimum project size thresholdNormalize later if scoring.
Avg_hourly_rateVisible hourly-rate bandKeep as text unless you define midpoints.
EmployeesEmployee-count rangeWatch for sparse cards.
LocationPrimary visible locationSplit later for CRM import.
Service_focusLeading service-focus percentageTreat as a ranking signal.
Webiste_URLExternal website link or profile fallbackHeader spelling matches the bundled JSON.

Workflow

Run the Clutch scraper tutorial in five steps

1

Download and import the template

Open the Clutch company listing scraper template, download the JSON workflow, and import it.

2

Replace the sample listing URLs

In the Navigate block, swap the bundled examples for your approved Clutch category, region, or search URLs. Keep the first run small.

3

Confirm the CSV destination

Set the save folder for clutch-scraper-company-listing.csv. Leave headers enabled and append mode on for pagination.

4

Run the page-load and verification flow

The workflow loads the page, checks for security verification, waits and refreshes once if needed, then continues only when listing HTML is available.

5

Export, paginate, and inspect

UScraper scrolls, waits for company profile links, exports rows, clicks enabled Next links, and repeats until the listing URL is finished.


JSON shape

What the exported workflow definition does

Use the template JSON as the source of truth. The flow detects security verification, waits for company profile links, exports row-scoped fields, then checks whether pagination can continue.

{
  "version": "1.0.0",
  "project": {
    "name": "Clutch Scraper Company Listing",
    "description": "Extracts Clutch listing fields to CSV."
  },
  "blocks": [
    {
      "title": "Navigate",
      "config": {
        "urls": [
          "https://clutch.co/directory/iphone-application-developers",
          "https://clutch.co/agencies/sem/new-york-state"
        ]
      }
    },
    {
      "title": "Text Contains",
      "description": "Detect Cloudflare/security verification page",
      "config": {
        "selector": "body",
        "text": "security verification"
      }
    },
    {
      "title": "Structured Export",
      "config": {
        "fileName": "clutch-scraper-company-listing.csv",
        "includeHeaders": true,
        "fileMode": "append",
        "columns": [
          "Company_name",
          "Rating",
          "Number_of_reviews",
          "Min_project_size",
          "Avg_hourly_rate",
          "Employees",
          "Location",
          "Service_focus",
          "Webiste_URL"
        ]
      }
    }
  ]
}

The production workflow also includes window sizing, waits, scroll, element checks, enabled Next-link detection, click, and loop-continue blocks. That matters because listing cards can hydrate after initial load.

Quality checks

Validate the CSV before using it

Open the CSV after the first page and check it like a dataset. Every row should describe a company, not navigation text, security text, footer links, or duplicate pagination artifacts.

CheckPass conditionFix
Row countClose to visible listingsInspect the row selector.
Company namesReal names, no empty rowsWait longer or retarget row scope.
Ratings and reviewsValues align with cardsUpdate selectors after layout changes.
Money fieldsRate and project size stay separateNormalize after export.
URL fieldWebsite or profile fallback worksCheck redirect markup.
Verification textNo challenge text in rowsVerify manually and retry slower.

For production research, log the date, listing URLs, output path, row count, and selector edits.

Alternatives

When to use hosted tools or Python instead

Hosted no-code tools help when you want dashboards and scheduling. Managed actors and data providers fit API delivery, proxy infrastructure, and centralized logs. Python gives engineers full control, but also full maintenance burden when Clutch changes markup.

UScraper fits the middle ground: import a ready workflow, run it in a local desktop app, see the browser state, and export a CSV before committing to cloud operations or custom code.

FAQ

FAQ and common Clutch scraping issues

Automating Clutch can be restricted by terms, robots directives, contract duties, copyright, privacy rules, and local law. Keep batches conservative, avoid access-control bypasses, and get legal review before resale, enrichment, or model-training use.

Next

Download the workflow and keep the cluster connected

Start from the Clutch company listing scraper template, run one page, then expand only after the CSV passes validation. For adjacent workflows, browse the full UScraper templates library, use the Clutch profile scraper for deeper company pages, or scan the UScraper blog for more scraping tutorials and comparison guides.

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