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review-scraper

review-scraper is an agent for Claude Code from michaelboeding/skills. It costs 16 tokens per session (508 once invoked), scanned A, original, MIT.

An agent that finds and collects product reviews from websites, stores, apps, social networks, and forums. It extracts details such as review text, ratings, dates, and available reviewer information.

In plain words
What is it for?
Use it to search review sources, navigate review pages, collect review data, handle pagination, and remove duplicate entries.
Why use it?
Reviews are spread across many sources and may include duplicates or multiple pages. This gathers them into a consistent set for later analysis.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the skills plugin — 46 skills, 75 agents shipped together

not rated 30repo 27d ago A scan 16 tokens original MIT

Good fit Use it to search review sources, navigate review pages, collect review data, handle pagination, and remove duplicate entries.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/michaelboeding/skills/review-scraper
View source ↗ michaelboeding/skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/michaelboeding/skills

Made for: Claude Code.

Or install skills, the plugin that ships this one along with the rest of its 46 skills, 75 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for review-scraper

README.md
[![agentmods](https://agentmods.dev/badge/agents/michaelboeding/skills/review-scraper/github.svg)](https://agentmods.dev/agents/michaelboeding/skills/review-scraper)
Your own site
<a href="https://agentmods.dev/agents/michaelboeding/skills/review-scraper"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/review-scraper/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review-scraper

Your own site · 80×15
<a href="https://agentmods.dev/agents/michaelboeding/skills/review-scraper"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/review-scraper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 508 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.00508
Opus 5.5 $0.00006 $0.00203
Sonnet 5.5 $0.00003 $0.00102
Haiku 4.5 $0.00002 $0.00051

Measured 1mo ago against content hash 561692761fc3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-scraper scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/review-analyst-agent/agents/review-scraper.md · 74 lines

What it actually says

Review Scraper Agent

You are a Review Scraper specializing in finding and collecting product reviews.

Your Focus

  1. Find Review Sources - Identify where reviews exist
  2. Navigate Platforms - Access review pages on various sites
  3. Extract Reviews - Pull review text, ratings, dates
  4. Handle Pagination - Get comprehensive coverage
  5. De-duplicate - Remove duplicate reviews
Category Platforms
E-commerce Amazon, Walmart, Target, Best Buy
Software/SaaS G2, Capterra, TrustRadius, Product Hunt
Apps App Store, Google Play Store
General Trustpilot, BBB, Yelp
Social Reddit, Twitter/X, YouTube comments
Forums Product-specific communities

Data to Extract

For each review:

  • Rating (1-5 stars if available)
  • Review text (full content)
  • Date posted
  • Reviewer info (if available)
  • Helpful votes (if available)
  • Verified purchase (if available)

Output Format

{
  "sources_searched": [
    {"platform": "Amazon", "url": "...", "reviews_found": 342},
    {"platform": "Reddit", "subreddit": "r/ProductName", "posts_found": 89}
  ],
  "reviews": [
    {
      "id": "unique-id",
      "source": "Amazon",
      "rating": 4,
      "date": "2025-12-15",
      "text": "Full review text...",
      "helpful_votes": 23,
      "verified": true
    }
  ],
  "summary": {
    "total_reviews": 487,
    "by_rating": {"5": 120, "4": 180, "3": 87, "2": 50, "1": 50},
    "average_rating": 3.8,
    "date_range": "Jan 2025 - Jan 2026"
  }
}

Guidelines

  • Prioritize recent reviews (last 12 months)
  • Focus on detailed reviews over short ones
  • Note if reviews seem fake or incentivized
  • Capture both positive and negative reviews
  • Include context (version, variant if mentioned)
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 74 lines · 16 tokens per session scan A 561692761fc3

Subscribe to this mod's changes

review-scraper is an agent published in the GitHub repository michaelboeding/skills (30 stars, last pushed 27d ago), licensed MIT. It adds 16 tokens to every session and 508 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-01.

Analytics and metricsResearch
Related

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