Agent skill

Capterra Data Extraction

by browsing-skills in browsing-skills/browsing-skills

Extracts software product ratings, pricing and written user reviews from Capterra pages with a real browser, since the site has no public API.

MITAuto-check passedData & Analytics

Install Capterra Data Extraction

skills CLI
$ npx skills add browsing-skills/browsing-skills --skill browsing-capterra -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install browsing-skills/browsing-skills browsing-capterra --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/browsing-skills/browsing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/capterra.com .claude/skills/browsing-capterra && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
browsing-capterra
GitHub stars
117
Token cost
~532 tokens
SKILL.md length
210 words
Files
3 (incl. references)
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

Extracts software product ratings, pricing and written user reviews from Capterra pages with a real browser, since the site has no public API.

  • Pulling a software product's rating breakdown and pricing from Capterra
  • SKILL.md covers Action Index, Benchmarks and Notes
  • Reaches capterra.com
  • Collecting user reviews with pros and cons for competitor research

What it does

This is an index of two read-only actions that each have their own reference file. Product overview collects the product name, overall rating out of 5, total review count, rating breakdown by ease of use, customer service, features and value, a short description and pricing when shown. Product reviews collects individual reviews, with reviewer name, role, company size, overall rating, title, pros, cons and published date.

Because Capterra is a JavaScript-rendered app with no public API, the data comes from rendered pages in a real browser. Product pages follow a `/p/` path with an ID and slug, and the reviews page adds `/reviews/` to that path. Embedded JSON-LD structured data is described as the most reliable source for aggregate ratings. The actions never submit reviews, vote or change account data, and the benchmark table in the file has no results filled in.

When your agent uses it

  • Pulling a software product's rating breakdown and pricing from Capterra
  • Collecting user reviews with pros and cons for competitor research
  • Comparing reviewer roles and company sizes across products

Example prompts

  • “Get the overall rating and category breakdown for this Capterra product page.”
  • “Extract the latest reviews for this tool from Capterra, with pros, cons and reviewer role.”
  • “Collect Capterra pricing and ratings for these three project management tools.”

Requirements

  • A real browser the agent can drive, since the pages are rendered with JavaScript

What it can do on your machine

Read from SKILL.md and the folder at commit 07855b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • capterra.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Capterra Data Extraction loads about 532 tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 210 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~532
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from browsing-skills/browsing-skills at commit 07855b5, republished under its MIT licence (© browsing-skills). 210 words, ~532 tokens.

Download SKILL.mdSave it as .claude/skills/browsing-capterra/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
browsing-capterra
description
Use when the user wants to extract software product data from Capterra (capterra.com) — product overview with ratings, category breakdowns, pricing, and description, or a list of individual user reviews with pros, cons, reviewer role, and dates. Capterra has no public API; data must be scraped from product pages. Use a real browser because Capterra is a JavaScript-rendered app.

Capterra — Browsing Skill

Use this index to choose the Capterra action that matches the user request, then open only the linked reference file for the complete navigation, requirements, code, and return shape.

Action Index

  • product-overview — Extract aggregate product data from a Capterra product page: product name, overall rating (out of 5), total reviews, rating breakdown by category (ease of use, customer service, features, value), short description, and pricing info if shown. Full spec: references/product-overview.md.
  • product-reviews — Extract a list of individual user reviews from a Capterra product reviews page, including reviewer name, role, company size, overall rating, review title, pros, cons, and published date. Full spec: references/product-reviews.md.

Benchmarks

Benchmarks compare the maintained skill action against a no-skill browser agent that inspects the live page DOM and derives selectors at runtime. Full notes live in BENCHMARKS.md.

ActionWith SkillWithout SkillNotes
product-overviewTBDTBDPlanned.
product-reviewsTBDTBDPlanned.

Notes

  • Capterra has no public API. All data is extracted from rendered HTML on product and review pages.
  • Product overview pages follow https://www.capterra.com/p/<id>/<slug>/; review pages append /reviews/ to that path.
  • Capterra embeds JSON-LD structured data (application/ld+json) which is the most reliable source for aggregate ratings when available.
  • These actions are read-only. They do not submit reviews, vote, or modify any account data.

© browsing-skills, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/capterra.com of browsing-skills/browsing-skills.

  • SKILL.md
  • references/product-overview.md
  • references/product-reviews.md

Open the folder on GitHubat commit 07855b5

Compare with similar skills

Capterra Data Extraction next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Capterra Data Extraction compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Capterra Data Extraction this skillbrowsing-skills/browsing-skills117—~532Automated safety check: PassMIT
Web Scrapingplatonai/Browser41.2k—~1.1kAutomated safety check: PassApache-2.0
Chrome Devtoolseinverne/dotfiles1211 repos~1.6kAutomated safety check: NotesApache-2.0
Bdgszymdzum/browser-debugger-cli170—~2.4kAutomated safety check: NotesMIT
Anti Detect Browserantibrow/anti-detect-browser-skills17—~9.8kAutomated safety check: WarnMIT
Control Browserzai-org/ZCode7.6k—~4.6kAutomated safety check: PassApache-2.0

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Works with

Questions about Capterra Data Extraction

What does Capterra Data Extraction do?

Extracts software product ratings, pricing and written user reviews from Capterra pages with a real browser, since the site has no public API. This is an index of two read-only actions that each have their own reference file. Product overview collects the product name, overall rating out of 5, total review count, rating breakdown by ease of use, customer service, features and value, a short description and pricing when shown.

When should I use Capterra Data Extraction?

Capterra Data Extraction fits situations like: pulling a software product's rating breakdown and pricing from Capterra; collecting user reviews with pros and cons for competitor research; comparing reviewer roles and company sizes across products.

How do I install Capterra Data Extraction in Claude Code?

Run `npx skills add browsing-skills/browsing-skills --skill browsing-capterra -a claude-code`. Or copy the skill folder (skills/capterra.com in browsing-skills/browsing-skills) into .claude/skills/browsing-capterra in your project. Claude Code loads it when a task matches its description.

How do I install Capterra Data Extraction in Codex?

Run `npx skills add browsing-skills/browsing-skills --skill browsing-capterra -a codex`. Or copy the skill folder (skills/capterra.com in browsing-skills/browsing-skills) into .agents/skills/browsing-capterra in your project. Codex loads it when a task matches its description.

Can I use Capterra Data Extraction in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browsing-skills/browsing-skills --skill browsing-capterra -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/browsing-capterra, .gemini/skills/browsing-capterra, .github/skills/browsing-capterra and .opencode/skills/browsing-capterra in your project.

What does Capterra Data Extraction need to run?

SKILL.md names no scripts, command-line tools or credentials: Capterra Data Extraction is instructions for the agent only. Our summary lists: A real browser the agent can drive, since the pages are rendered with JavaScript.

Does Capterra Data Extraction access the network?

SKILL.md names 1 domain. In commands or code: capterra.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Capterra Data Extraction safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Capterra Data Extraction use?

Capterra Data Extraction is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Capterra Data Extraction use?

About 532 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.1k tokens, read only when the agent opens those files.

What are the alternatives to Capterra Data Extraction?

Skills that share tags, products or a category with Capterra Data Extraction: Web Scraping (platonai/Browser4, 1.2k stars), Chrome Devtools (einverne/dotfiles, 121 stars), Bdg (szymdzum/browser-debugger-cli, 170 stars) and Anti Detect Browser (antibrow/anti-detect-browser-skills, 17 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Capterra Data Extraction?

browsing-skills (a GitHub organization) maintains it in browsing-skills/browsing-skills, which has 117 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on June 10, 2026.

Source: browsing-skills/browsing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.