Chrome Web Store Scraper: Extensions, Reviews & B2B Leads avatar

Chrome Web Store Scraper: Extensions, Reviews & B2B Leads

Pricing

from $1.50 / 1,000 user review & churn signals

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Chrome Web Store Scraper: Extensions, Reviews & B2B Leads

Chrome Web Store Scraper: Extensions, Reviews & B2B Leads

Extract Chrome Web Store extension profiles, exact active user counts, manifest.json permissions, verified publisher/trader emails, company addresses, and user reviews with churn/pain-point classification via fast RPC.

Pricing

from $1.50 / 1,000 user review & churn signals

Rating

0.0

(0)

Developer

StoreIntel Labs

StoreIntel Labs

Maintained by Community

Actor stats

1

Bookmarked

2

Total users

1

Monthly active users

7 hours ago

Last modified

Features

Limited permissions

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Extract complete Chrome Extension profiles, exact active user counts, parsed manifest.json permissions, verified publisher/trader emails, legal company names, physical addresses, and user reviews directly from the Chrome Web Store (chromewebstore.google.com) via direct RPC without headless browser overhead.


Core Capabilities

1. Extension Profiles, Manifest Security & B2B Publisher Leads (record_type: "extension_profile")

  • Adoption & Ranking Metrics: Exact active_users integer, floating-point rating, reviews_count, category, is_featured badge, and is_established_publisher status.
  • Verified B2B Publisher / Trader Intelligence: Extracts developer_email (verified trader contact email), trader_company_name (registered legal entity), developer_address (physical office address), verified_domain, website_url, and privacy_policy_url.
  • Technical & Manifest Inspection: Parses the embedded manifest.json to extract version, manifest_version (MV2 vs MV3), minimum_chrome_version, permissions, host_permissions, optional_permissions, size, last_updated_at (ISO-8601), supported_languages, and top related_extensions.

2. User Reviews & Churn / Bug Signals (record_type: "extension_review")

  • Fast Batched Review Extraction: Queries Chrome Web Store review RPC endpoints (x1DgCd) sorted by newest or helpful, with optional star rating filters (1–5) and automatic pagination.
  • Automated Pain-Point Tagging (pain_point_tags): Classifies each review across 7 actionable categories: pricing_billing, customer_support, bugs_reliability, performance_speed, missing_features, usability_setup, and privacy_permissions.
  • Churn Lead Flag (is_churn_lead): Identifies dissatisfied users (1–2 stars or reviews mentioning uninstalling, switching to a competitor, or broken functionality).

3. Keyword Search Discovery (searchQueries)

Pass any search keywords (e.g., "shopify", "ai email", "linkedin", "adblock") to automatically discover matching Chrome extensions and extract their profiles and user reviews.


Input Parameters

ParameterTypeDefaultDescription
extensionIdsOrUrlsarray<string>["gppongmhjkpfnbhagpmjfkannfbllamg", "ddkjiahejlhfcafbddmgiahcphecmpfh"]32-character Chrome Extension IDs or full chromewebstore.google.com URLs.
searchQueriesarray<string>[]Optional keywords to discover extensions on the Chrome Web Store.
maxExtensionsPerQueryinteger20Max extensions to discover per search keyword.
scrapeExtensionProfilesbooleantrueExtract full extension metadata, manifest permissions, and B2B trader email (extension-profile-scraped).
scrapeReviewsbooleantrueExtract user reviews and churn signals (review-scraped).
maxReviewsPerExtensioninteger25Maximum user reviews to extract per extension.
reviewSortBystring"newest"Sort order: "newest" or "helpful".
reviewRatingsarray<integer>[]Optional star rating filter (e.g. [1, 2]).
onlyChurnLeadsbooleanfalseEmit only reviews flagged with is_churn_lead: true.
maxSpendUsdnumber10.0Hard budget cap in USD for Pay-Per-Event billing.

Output Sample

extension_profile Record

{
"record_type": "extension_profile",
"extension_id": "gppongmhjkpfnbhagpmjfkannfbllamg",
"extension_url": "https://chromewebstore.google.com/detail/gppongmhjkpfnbhagpmjfkannfbllamg",
"title": "Wappalyzer - Technology profiler",
"category": "productivity/developer",
"rating": 3.98,
"reviews_count": 1977,
"active_users": 3000000,
"version": "6.12.8",
"size": "33.22MiB",
"is_featured": true,
"is_established_publisher": true,
"verified_domain": "wappalyzer.com",
"developer_name": "Wappalyzer",
"trader_company_name": "Wappalyzer Pty Ltd",
"developer_email": "hello@wappalyzer.com",
"developer_address": "72-82 Errol St, Suite 934, North Melbourne, VIC 3051, AU",
"website_url": "https://www.wappalyzer.com",
"privacy_policy_url": "https://www.wappalyzer.com/privacy",
"manifest_version": 3,
"minimum_chrome_version": "121"
}

extension_review Record

{
"record_type": "extension_review",
"extension_id": "gppongmhjkpfnbhagpmjfkannfbllamg",
"review_id": "b14b1360-9521-4c56-9b69-fec4c4c46df5",
"author_name": "Mauri Sombowadile",
"rating": 1,
"published_at": "2026-09-07T02:18:48+00:00",
"extension_version": "6.12.6",
"language": "en",
"is_churn_lead": true,
"pain_point_tags": ["bugs_reliability"],
"review_text": "Doesn't detect anything at all. Use \"Web Reveal\" instead."
}

Pre-Configured Task Templates (1-Click Workflows)

Run specialized configurations of this Actor directly on Apify Store:


How to Automate in Clay.com, n8n & Make.com (1-Click Templates)

1. Clay.com (B2B Enrichment Column)

Use the Apify enrichment column or HTTP API column in Clay to enrich thousands of rows automatically:

  • Method: POST
  • Endpoint: https://api.apify.com/v2/acts/storeintel~chrome-web-store-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
  • JSON Body (with dynamic Clay column mapping):
{
"extensionUrlsOrIds": [
"{{Chrome Extension URL or ID}}"
],
"scrapeExtensionProfiles": true,
"scrapeReviews": true,
"maxReviewsPerExtension": 20
}

2. n8n.io & Make.com Integration

Import the ready-made Blueprint/Workflow JSON above (in Make.com: Create scenario → More ... → Import Blueprint; in n8n: Import from File/URL), or add an Apify — Run an Actor module pointing to storeintel/chrome-web-store-scraper (29JI2nK22H6vnbaD8). Because this Actor uses pure async HTTP/JSON with zero headless browser startup delay, synchronous calls (run-sync-get-dataset-items) return structured JSON records in 2–6 seconds.


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