# Multi-Web Store Scraper (Chrome, Edge & Firefox) (`fadiil/cws-metadata-scraper`) Actor Scrapes metadata, installs, ratings, and reviews across Chrome Web Store, Microsoft Edge Add-ons, and Firefox Browser Add-ons Store (AMO) in parallel with keyword search discovery! - **URL**: https://apify.com/fadiil/cws-metadata-scraper.md - **Developed by:** [Muhammad Rayhan Fadillah](https://apify.com/fadiil) (community) - **Categories:** Other, SEO tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.05 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Multi-Web Store Scraper (Chrome, Edge & Firefox Add-ons) A high-performance, lightweight Apify Actor to scrape structured metadata, user installs, average ratings, sizes, and versions of extensions from the **Chrome Web Store**, **Microsoft Edge Add-ons**, and **Firefox Browser Add-ons Store (AMO)** without getting blocked. ### Features - **Multi-Store Support**: Seamlessly scrape extensions from the three largest browser add-ons stores: - Chrome Web Store (CWS) - Microsoft Edge Add-ons Store - Firefox Browser Add-ons (AMO) - **Keyword Search & Discovery**: Provide search keywords (e.g. `Ad Blocker`), and the Actor automatically searches all three stores, discovers extension URLs, and crawls them in parallel. - **Relational Sentiment Reviews (Chrome Store)**: Toggle review scraping to collect individual text reviews, star ratings, and dates for deep sentiment analysis. - **Natural Anti-Bot Bypass**: Uses realistic browser fingerprints and Playwright's natural browser behavior to bypass rate-limits and bot-detection schemes. ### Input Parameters | Field | Type | Description | |---|---|---| | `startUrls` | Array | **Required (unless searchKeyword provided)**. List of web extension detail URLs from Chrome, Edge, or Firefox. | | `searchKeyword` | String | **Optional**. Keyword term to search. Automatically scrapes matching results across all 3 stores. | | `scrapeReviews` | Boolean | If checked, will also scrape user reviews for Chrome Store extensions. (Default: `false`) | | `maxResults` | Integer | Limit the maximum number of extensions to scrape. (Default: 100) | | `proxyConfiguration` | Object | Configure proxies to bypass rate-limits at scale (Residential proxy is recommended). | ### Output Schema Each scraped extension yields a structured JSON object in your dataset: ```json { "store": "CHROME_STORE", // OR "EDGE_STORE", "FIREFOX_STORE" "type": "EXTENSION_DETAIL", "url": "https://chromewebstore.google.com/detail/grammarly-ai-writing-assi/kbfnbcaeplbcioakkpcpgfkobkghlhen?hl=en", "title": "Grammarly: AI Writing Assistant and Grammar Checker App", "id": "kbfnbcaeplbcioakkpcpgfkobkghlhen", "users": "35,000,000", "rating": 4.5, "ratingsCount": "43.1K ratings", "version": "14.1310.0", "lastUpdated": "July 8, 2026", "size": "43.96MiB", "languages": "English", "description": "Grammarly for Chrome helps you write with confidence...", "scrapedAt": "2026-07-12T15:45:00.000Z" } ```` ### How to Monetize This Actor You can use the output datasets to: 1. **Analyze Competitor Trends**: Monitor extension rating drops, install growth, and size increments across all browser markets. 2. **Build Store Analytics Directories**: Create a website tracking extension growth stats and sell premium access to enterprise VCs or marketers. 3. **Outreach & Lead-Gen**: Find successful extensions in high-growth niches to contact developer teams with partnership or advertising proposals. # Actor input Schema ## `startUrls` (type: `array`): Provide one or more Chrome Web Store extension details URLs to scrape. ## `searchKeyword` (type: `string`): Optional search term. Scrapes search result items. Leave startUrls empty to only scrape search results. ## `scrapeReviews` (type: `boolean`): If checked, the scraper will also scrape individual user reviews (author, rating, text, date) for each extension and save them as separate relational dataset items. ## `maxResults` (type: `integer`): Limit the maximum number of extensions to scrape. ## `proxyConfiguration` (type: `object`): Specifies proxy server settings. Using proxies is recommended to prevent Google from rate-limiting your crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://chromewebstore.google.com/detail/grammarly-ai-writing-assi/kbfnbcaeplbcioakkpcpgfkobkghlhen" } ], "searchKeyword": "AI Writing", "scrapeReviews": false, "maxResults": 100 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://chromewebstore.google.com/detail/grammarly-ai-writing-assi/kbfnbcaeplbcioakkpcpgfkobkghlhen" } ], "searchKeyword": "AI Writing" }; // Run the Actor and wait for it to finish const run = await client.actor("fadiil/cws-metadata-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://chromewebstore.google.com/detail/grammarly-ai-writing-assi/kbfnbcaeplbcioakkpcpgfkobkghlhen" }], "searchKeyword": "AI Writing", } # Run the Actor and wait for it to finish run = client.actor("fadiil/cws-metadata-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://chromewebstore.google.com/detail/grammarly-ai-writing-assi/kbfnbcaeplbcioakkpcpgfkobkghlhen" } ], "searchKeyword": "AI Writing" }' | apify call fadiil/cws-metadata-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fadiil/cws-metadata-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Multi-Web Store Scraper (Chrome, Edge & Firefox)", "description": "Scrapes metadata, installs, ratings, and reviews across Chrome Web Store, Microsoft Edge Add-ons, and Firefox Browser Add-ons Store (AMO) in parallel with keyword search discovery!", "version": "1.0", "x-build-id": "OtxvXc3zJEeeTp02n" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fadiil~cws-metadata-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fadiil-cws-metadata-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fadiil~cws-metadata-scraper/runs": { "post": { "operationId": "runs-sync-fadiil-cws-metadata-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fadiil~cws-metadata-scraper/run-sync": { "post": { "operationId": "run-sync-fadiil-cws-metadata-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "Chrome Web Store URLs", "type": "array", "description": "Provide one or more Chrome Web Store extension details URLs to scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchKeyword": { "title": "Search Keyword", "type": "string", "description": "Optional search term. Scrapes search result items. Leave startUrls empty to only scrape search results." }, "scrapeReviews": { "title": "Scrape User Reviews", "type": "boolean", "description": "If checked, the scraper will also scrape individual user reviews (author, rating, text, date) for each extension and save them as separate relational dataset items.", "default": false }, "maxResults": { "title": "Max Results", "minimum": 1, "type": "integer", "description": "Limit the maximum number of extensions to scrape.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Specifies proxy server settings. Using proxies is recommended to prevent Google from rate-limiting your crawler." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```