Agent skill

Review Site Scraper

by gooseworks-ai in gooseworks-ai/goose-skills

Scrape product reviews from G2, Capterra, and Trustpilot using Apify.

MITAuto-check passedData & Analytics

Install Review Site Scraper

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill review-site-scraper -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills review-site-scraper --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/monitoring/capabilities/review-site-scraper .claude/skills/review-site-scraper && 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
review-site-scraper
GitHub stars
1.2k
Used in
1 other repo
Token cost
~882 tokens
SKILL.md length
162 words
Files
3 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Scrape product reviews from G2, Capterra, and Trustpilot using Apify.

  • You need to monitor competitor reviews
  • SKILL.md covers Quick Start, Supported Platforms, CLI Reference and Normalized Output Schema
  • Runs Python scripts from its folder; calls python3; reaches trustpilot.com and g2.com; needs APIFY_API_TOKEN
  • Track product sentiment

What it does

Review Site Scraper is an agent skill from gooseworks-ai/goose-skills. Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites.

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/scrape_reviews.py` and `skill.meta.json`).

It sits in Data & Analytics, covering Web scraping and Customer feedback analysis. It works with Apify. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • You need to monitor competitor reviews
  • Track product sentiment
  • Gather customer feedback from review sites

Example prompts

  • “/review-site-scraper”

Requirements

  • Python 3
  • A credential in APIFY_API_TOKEN

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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:

    • trustpilot.com
    • g2.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • APIFY_API_TOKEN

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

Context cost

Review Site Scraper loads about 882 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~882

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); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 162 words, ~882 tokens.

Download SKILL.mdSave it as .claude/skills/review-site-scraper/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
review-site-scraper
description
Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites.

Review Site Scraper

Scrape product reviews from G2, Capterra, and Trustpilot using platform-specific Apify actors.

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag). No external dependencies needed (uses stdlib urllib).

bash
# Trustpilot reviews
python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
  --platform trustpilot \
  --url "https://www.trustpilot.com/review/example.com" \
  --max-reviews 10 --output summary

# G2 reviews with keyword filter
python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
  --platform g2 \
  --url "https://www.g2.com/products/example/reviews" \
  --keywords "pricing,support"

# Capterra reviews (uses company name, not URL)
python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
  --platform capterra \
  --company-name "HubSpot CRM" \
  --max-reviews 20

Supported Platforms

PlatformActorInputCost
G2focused_vanguard/g2-reviews-scraper--url (G2 product page URL)Free tier available
Capterragetdataforme/capterra-reviews-scraper-bulk--company-name (company name, not a URL)Pay-per-result
Trustpilotagents/trustpilot-reviews--url (Trustpilot review page URL)~$0.20/1k reviews

CLI Reference

FlagDefaultDescription
--platformrequiredg2, capterra, or trustpilot
--urlnoneProduct review page URL (required for G2 and Trustpilot)
--company-namenoneCompany name to search (Capterra only)
--max-reviews50Max reviews to scrape
--keywordsnoneKeywords to filter (comma-separated, OR logic)
--daysnoneOnly include reviews from last N days
--outputjsonOutput format: json or summary
--tokenenv varApify token (prefer APIFY_API_TOKEN env var)
--timeout300Max seconds for Apify run

Normalized Output Schema

All platforms are normalized but each has platform-specific fields.

G2 output fields:

json
{
  "platform": "g2",
  "id": "review-id",
  "product_name": "Product Name",
  "title": null,
  "text": "Review body text",
  "rating": 4,
  "author": "Reviewer Name",
  "author_title": "Job Title",
  "author_company": "Company Name",
  "author_company_size": "51-200",
  "author_industry": "Software",
  "date": "2026-02-18",
  "source": "organic",
  "url": "https://..."
}

Capterra output fields:

json
{
  "platform": "capterra",
  "title": "Review title",
  "text": "Review body text",
  "overall_rating": 4,
  "ease_of_use": 5,
  "customer_service": 3,
  "features": 4,
  "author": "Reviewer Name",
  "job_title": "Marketing Manager",
  "industry": "Marketing and Advertising",
  "usage_duration": "1-2 years",
  "date": "2026-02-18",
  "url": "https://..."
}

Trustpilot output fields:

json
{
  "platform": "trustpilot",
  "id": "review-id",
  "title": "Review title",
  "text": "Review body text",
  "rating": 4,
  "author": "Reviewer Name",
  "date": "2026-02-18T12:00:00.000Z",
  "experienced_date": "2026-02-15T00:00:00.000Z",
  "likes": 2,
  "input_source": "organic",
  "url": "https://..."
}

© gooseworks-ai, 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 (scripts) in skills/monitoring/capabilities/review-site-scraper of gooseworks-ai/goose-skills.

  • SKILL.md
  • scripts/scrape_reviews.py
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Review Site Scraper 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.

Review Site Scraper compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Site Scraper this skillgooseworks-ai/goose-skills1.2k1 repos~882Automated safety check: PassMIT
Apify Lead Scoring Enrichmentapify/awesome-skills266—~4.4kAutomated safety check: NotesApache-2.0
Apify Company Data APIapify/awesome-skills266—~2.8kAutomated safety check: PassMIT
Apify Product Data Setupapify/awesome-skills266—~2kAutomated safety check: PassApache-2.0
Apify Local Business Leads Osmapify/awesome-skills266—~3.8kAutomated safety check: PassApache-2.0
Coffee ChatLeoYeAI/openclaw-master-skills2.2k—~6.6kAutomated safety check: PassMIT

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Works with

Questions about Review Site Scraper

What does Review Site Scraper do?

Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Review Site Scraper is an agent skill from gooseworks-ai/goose-skills. Scrape product reviews from G2, Capterra, and Trustpilot using Apify.

When should I use Review Site Scraper?

Review Site Scraper fits situations like: you need to monitor competitor reviews; track product sentiment; gather customer feedback from review sites.

How do I install Review Site Scraper in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill review-site-scraper -a claude-code`. Or copy the skill folder (skills/monitoring/capabilities/review-site-scraper in gooseworks-ai/goose-skills) into .claude/skills/review-site-scraper in your project. Claude Code loads it when a task matches its description.

How do I install Review Site Scraper in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill review-site-scraper -a codex`. Or copy the skill folder (skills/monitoring/capabilities/review-site-scraper in gooseworks-ai/goose-skills) into .agents/skills/review-site-scraper in your project. Codex loads it when a task matches its description.

Can I use Review Site Scraper 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 gooseworks-ai/goose-skills --skill review-site-scraper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-site-scraper, .gemini/skills/review-site-scraper, .github/skills/review-site-scraper and .opencode/skills/review-site-scraper in your project.

What does Review Site Scraper need to run?

Going by SKILL.md and its folder, Review Site Scraper needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.

Does Review Site Scraper access the network?

SKILL.md names 2 domains. In commands or code: trustpilot.com and g2.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Review Site Scraper 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Review Site Scraper use?

Review Site Scraper 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 Review Site Scraper use?

About 882 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Review Site Scraper?

Skills that share tags, products or a category with Review Site Scraper: Apify Lead Scoring Enrichment (apify/awesome-skills, 266 stars), Apify Company Data API (apify/awesome-skills, 266 stars), Apify Product Data Setup (apify/awesome-skills, 266 stars) and Apify Local Business Leads Osm (apify/awesome-skills, 266 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Site Scraper?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

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