Review & Sentiment Monitoring
Track what customers say about your product across marketplaces, forums, and social threads, with sentiment scores, topics, and a briefing that gets read.
Quick Answer
Use scrape_template (1 credit) to pull reviews from Amazon, YouTube, or Hacker News with no selectors to maintain, reddit_search (2 credits) for Reddit discussions via community archives, analyze_content (3 credits) for sentiment, topics, and entities, and summarize_content (4 credits) for a briefing. About 10 credits per product, cheap enough to run weekly.
The Problem
Customer sentiment is scattered across Amazon listings, Reddit threads, and Hacker News comments. Reading it manually means you notice a quality problem weeks after the reviews turned, and marketplace redesigns break selector-based scrapers constantly.
The Solution
CrawlForge scrape_template pulls clean data from known sites -- Amazon products, YouTube, Hacker News -- with no selectors to maintain, and reddit_search reads Reddit discussions through community archives, since reddit.com blocks scrapers. analyze_content scores sentiment, topics, and entities, and summarize_content turns the pile into a briefing.
Code Example
// Pull reviews from known sites without writing selectors
const product = await mcp.scrape_template({
template: "amazon-product",
url: "https://www.amazon.com/dp/B0EXAMPLE",
});
// reddit.com blocks scrapers -- reddit_search reads the community archives
const reddit = await mcp.reddit_search({
query: "Example Gadget",
subreddit: "gadgets",
limit: 10,
});
const voices = product.reviews.map(r => r.text).join("\n");
// Sentiment, topics, and entities across every review
const analysis = await mcp.analyze_content({
text: voices,
options: { includeSentiment: true, extractTopics: true, extractEntities: true },
});
// One briefing for the product team
const digest = await mcp.summarize_content({
text: voices,
options: { summaryLength: "medium", summaryType: "abstractive" },
});
console.log(reddit.count, reddit.results[0]?.num_comments); // discussion volume
console.log(analysis.sentiment, analysis.topics);
console.log(digest.summary);Tools Used
Estimated cost: ~10 credits per product
Frequently Asked Questions
How do I monitor reviews without maintaining selectors?
Use scrape_template with a built-in template such as amazon-product, and reddit_search for Reddit discussions -- reddit.com blocks direct scraping, so reddit_search reads the community archives instead. CrawlForge maintains the extraction rules, so a marketplace redesign does not quietly break your pipeline the way custom selectors do.
Which sites have templates?
Amazon products, LinkedIn profiles, GitHub repos, YouTube videos, tweets, Reddit threads, the Hacker News front page, Product Hunt launches, Stack Overflow questions, and npm packages. Call scrape_template with template "list" to see the current set. For Reddit, prefer reddit_search -- reddit.com blocks direct scraping, so the reddit-thread template no longer works reliably.
What does the sentiment analysis return?
analyze_content returns a sentiment score, detected language, topics, named entities, and readability for the text you pass in. Feed it the combined reviews, then run summarize_content for a short briefing on what changed.
How much does review monitoring cost?
About 10 credits per product per run: 1 for each scrape_template call, 2 for reddit_search, 3 for analyze_content, and 4 for summarize_content. Monitoring 10 products weekly is roughly 430 credits a month.
Ready to Get Started?
Every new account gets 1,000 free credits. No credit card required.
Start Free with 1,000 Credits