Apify Lead Scoring Enrichment
apify/awesome-skills
Score and enrich a CSV of B2B leads using Apify Actors. An agent skill from apify/awesome-skills.
Scrape product reviews from G2, Capterra, and Trustpilot using Apify.
Install Review Scraper
$ npx skills add gooseworks-ai/goose-skills --skill review-scraper -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills review-scraper --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-scraper .claude/skills/review-scraper && rm -rf skills-srcUse ~/.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/
Install the "review-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/review-scraper into .claude/skills/review-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-scraper", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/review-scraperType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill review-scraper -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills review-scraper --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/monitoring/capabilities/review-scraper .agents/skills/review-scraper && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/review-scraper into .agents/skills/review-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-scraper", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill review-scraper -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills review-scraper --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/monitoring/capabilities/review-scraper .cursor/skills/review-scraper && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "review-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/review-scraper into .cursor/skills/review-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-scraper", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/monitoring/capabilities/review-scraper--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill review-scraper -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills review-scraper --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/monitoring/capabilities/review-scraper .gemini/skills/review-scraper && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "review-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/review-scraper into .gemini/skills/review-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-scraper", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills review-scraperInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill review-scraper -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/monitoring/capabilities/review-scraper .github/skills/review-scraper && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "review-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/review-scraper into .github/skills/review-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-scraper", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill review-scraper -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills review-scraper --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/monitoring/capabilities/review-scraper .opencode/skills/review-scraper && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "review-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/review-scraper into .opencode/skills/review-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-scraper", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
review-scraper- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~573 tokens
- SKILL.md length
- 119 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 and pip; reaches trustpilot.com and g2.com; needs APIFY_API_TOKEN
- Track product sentiment
What it does
Review 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 570 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-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:
python3pip
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.comg2.comcapterra.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 Scraper loads about 573 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 119 words of instructions outside code blocks.
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). 119 words, ~573 tokens.
Download SKILL.mdSave it as
.claude/skills/review-scraper/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- review-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 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). Install dependency: pip install requests.
# Trustpilot reviews
python3 skills/review-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/review-scraper/scripts/scrape_reviews.py \
--platform g2 \
--url "https://www.g2.com/products/example/reviews" \
--keywords "pricing,support"
# Capterra reviews
python3 skills/review-scraper/scripts/scrape_reviews.py \
--platform capterra \
--url "https://www.capterra.com/p/12345/Example"Supported Platforms
| Platform | Actor | Cost |
|---|---|---|
| G2 | zen-studio/g2-reviews-scraper | Free tier available |
| Capterra | imadjourney/capterra-reviews-scraper | Pay-per-result |
| Trustpilot | agents/trustpilot-reviews | ~$0.20/1k reviews |
CLI Reference
| Flag | Default | Description |
|---|---|---|
--platform | required | g2, capterra, or trustpilot |
--url | required | Product review page URL |
--max-reviews | 50 | Max reviews to scrape |
--keywords | none | Keywords to filter (comma-separated, OR logic) |
--days | none | Only include reviews from last N days |
--output | json | Output format: json or summary |
--token | env var | Apify token (prefer APIFY_API_TOKEN env var) |
--timeout | 300 | Max seconds for Apify run |
Normalized Output Schema
All platforms are normalized to the same schema:
{
"platform": "trustpilot",
"title": "Review title",
"text": "Review body text",
"rating": 4,
"author": "Reviewer Name",
"date": "2026-02-18",
"pros": "What they liked (G2/Capterra only)",
"cons": "What they disliked (G2/Capterra only)",
"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-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 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Review Scraper this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~573 | Automated safety check: Pass | MIT | |
| Apify Lead Scoring Enrichmentapify/awesome-skills | 266 | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | |
| Apify Company Data APIapify/awesome-skills | 266 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Apify Product Data Setupapify/awesome-skills | 266 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Apify Local Business Leads Osmapify/awesome-skills | 266 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Coffee ChatLeoYeAI/openclaw-master-skills | 2.2k | — | ~6.6k | Automated safety check: Pass | MIT |
Similar skills
- Official
- Official
Apify Company Data API
apify/awesome-skills
Pull structured B2B company data from Clutch.co with the Clutch.co Agency API Actor (johnvc/clutch-agency-api).
- Official
Apify Product Data Setup
apify/awesome-skills
Wire an AI agent to live e-commerce product data using Apify's E-commerce Scraping Tool over MCP, either as runtime tool calls or as a scheduled refresh into a vector store.
- Official
Apify Local Business Leads Osm
apify/awesome-skills
Build a local-business lead list without scraping Google Maps.
Coffee Chat
LeoYeAI/openclaw-master-skills
Generate a personalized coffee chat playbook for networking conversations.
Twitter API
aiskillstore/marketplace
A Twitter API alternative and X API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no OAuth and no developer application.
More from gooseworks-ai/goose-skills
All 273 skills in this repoReddit Post Finder
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
Create Image Fal
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
Render Hook Replacement
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
Blog Feed Monitor
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
Competitor Post Engagers
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
Render Chatgpt Chat
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Related
Works with
Categories
Questions about Review Scraper
What does Review Scraper do?
Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Review 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 Scraper?
Review Scraper fits situations like: you need to monitor competitor reviews; track product sentiment; gather customer feedback from review sites.
How do I install Review Scraper in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill review-scraper -a claude-code`. Or copy the skill folder (skills/monitoring/capabilities/review-scraper in gooseworks-ai/goose-skills) into .claude/skills/review-scraper in your project. Claude Code loads it when a task matches its description.
How do I install Review Scraper in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill review-scraper -a codex`. Or copy the skill folder (skills/monitoring/capabilities/review-scraper in gooseworks-ai/goose-skills) into .agents/skills/review-scraper in your project. Codex loads it when a task matches its description.
Can I use Review 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-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-scraper, .gemini/skills/review-scraper, .github/skills/review-scraper and .opencode/skills/review-scraper in your project.
What does Review Scraper need to run?
Going by SKILL.md and its folder, Review Scraper needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.
Does Review Scraper access the network?
SKILL.md names 3 domains. In commands or code: trustpilot.com, g2.com and capterra.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Review 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 Scraper use?
Review 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 Scraper use?
About 573 tokens (SKILL.md is roughly 2.3k 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 Scraper?
Skills that share tags, products or a category with Review 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 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.