Chrome Web Store Reviews Scraper

Scrape Chrome Web Store extension reviews for browser extension reputation monitoring, competitor analysis, and product feedback research. Export structured review output with ratings, review text, reviewer names, dates, helpful votes, and extension metadata.

What data does it extract?

Chrome Web Store Reviews Scraper extracts public Chrome Web Store review data from browser extension pages for browser extension reputation monitoring and product feedback analysis. The Chrome Web Store reviews output includes extensionId, extensionUrl, extensionName, reviewId, rating, reviewText, reviewerName, reviewDate, and helpfulCount fields.

Use it to monitor your own extension reviews, analyze competitor extension feedback, collect user complaints for product research, or feed public review data into BI, support, and reputation workflows.

Use cases

Common use cases include Chrome Web Store review monitoring, browser extension reputation tracking, competitor review analysis, and product feedback research.

Who is this scraper for?

• Extension publishers tracking new ratings, complaints, and version-specific feedback.
• SaaS product teams researching browser-extension competitors and user pain points.
• Support and reputation teams collecting public review text for triage or recurring reports.
• Market researchers comparing ratings, review volume, and sentiment across related extensions.

Example input

{
  "extensionIds": ["cjpalhdlnbpafiamejdnhcphjbkeiagm"],
  "maxReviewsPerExtension": 25,
  "sort": "newest",
  "language": "en-US",
  "proxyConfiguration": { "useApifyProxy": false }
}

Example output

{
  "extensionId": "cjpalhdlnbpafiamejdnhcphjbkeiagm",
  "extensionUrl": "https://chromewebstore.google.com/detail/cjpalhdlnbpafiamejdnhcphjbkeiagm",
  "extensionName": "uBlock Origin",
  "extensionAverageRating": 4.697772137619854,
  "extensionRatingCount": 35460,
  "reviewId": "c05ba4d6-b816-49c4-80f6-ab1fcfdb1454",
  "rating": 5,
  "reviewText": "so good, chrome wants it gone",
  "reviewerName": "delta",
  "reviewerProfileUrl": "https://lh3.googleusercontent.com/a/...=s32-mo",
  "reviewDate": "2026-07-07T01:11:50.576Z",
  "publishedAt": "2026-07-07T01:11:50.576Z",
  "updatedAt": "2026-07-07T01:11:50.576Z",
  "developerResponse": null,
  "developerResponseDate": null,
  "helpfulCount": 1,
  "version": "1.72.0",
  "language": "en",
  "sourceUrl": "https://chromewebstore.google.com/detail/cjpalhdlnbpafiamejdnhcphjbkeiagm/reviews",
  "scrapedAt": "2026-07-10T10:03:18.675Z"
}

Input recipes

Start from a verified public Example task when you want a ready-made configuration:

• Scrape the newest uBlock Origin reviews
• Find the most helpful uBlock Origin reviews
• Scrape reviews from a Chrome Web Store extension URL

Input settings

Provide at least one startUrls entry or one extensionIds entry.

Tips for best results

• Start with maxReviewsPerExtension: 10 or 25 before scaling up.
• Use extension IDs for clean repeatable monitoring inputs.
• Use /reviews URLs when handing inputs from a browser or spreadsheet.
• Schedule repeat runs and compare datasets to catch new negative reviews or support issues.
• Keep direct requests enabled unless your environment requires Apify Proxy.

Limits and caveats

• The Actor extracts public Chrome Web Store review data only; it does not log in or access private Google account data.
• Chrome Web Store can change response shapes. If output becomes empty for a known public extension, contact Support with the run ID.
• Very high maxReviewsPerExtension values can produce larger responses and longer runs. Split large competitor batches if needed.
• Some optional fields, such as developer responses or reviewer profile URLs, are only present when Chrome Web Store exposes them publicly.

API usage

Node.js:

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("fetch_cat/chrome-web-store-reviews-scraper").call({
  extensionIds: ["cjpalhdlnbpafiamejdnhcphjbkeiagm"],
  maxReviewsPerExtension: 25,
  sort: "newest"
});
console.log(run.defaultDatasetId);

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("fetch_cat/chrome-web-store-reviews-scraper").call(run_input={
    "extensionIds": ["cjpalhdlnbpafiamejdnhcphjbkeiagm"],
    "maxReviewsPerExtension": 25,
    "sort": "newest",
})
print(run["defaultDatasetId"])

cURL:

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~chrome-web-store-reviews-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"extensionIds":["cjpalhdlnbpafiamejdnhcphjbkeiagm"],"maxReviewsPerExtension":25,"sort":"newest"}'

MCP and AI agents

Use this Actor from MCP-compatible tools through the official Apify MCP Server.

claude mcp add --transport http apify "https://mcp.apify.com?tools=fetch_cat/chrome-web-store-reviews-scraper"

JSON config example:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=fetch_cat/chrome-web-store-reviews-scraper"
    }
  }
}

Example prompts:

• "Run Chrome Web Store Reviews Scraper for cjpalhdlnbpafiamejdnhcphjbkeiagm and summarize the newest one-star reviews."
• "Compare the latest 100 Chrome Web Store reviews for these extension IDs and list recurring support complaints."
• "Export the review dataset, then group negative reviews by extension version and helpful vote count."

Ask your agent to run the Chrome Web Store Reviews Scraper for extension IDs, then summarize low-rated reviews, compare competitors, or export datasets for product analysis.

Support

If you need help, open an issue from the Actor run page and include the run ID or run URL plus:

• Input JSON: the extensionIds, startUrls, and maxReviewsPerExtension you used.
• Expected output: the reviews, ratings, or extension review count you expected to see.
• Actual output: dataset item count, missing fields, or error message.
• Reproducible public URL: a Chrome Web Store extension or /reviews URL that can be opened without logging in.