# \[Aug25] BuiltWith Bulk Technology Scraper - fast & low cost (`scrapegoats/builtwith-scraper`) Actor Extract tech stack data from any list of websites using BuiltWith. Fast, simple, and exportable. - **URL**: https://apify.com/scrapegoats/builtwith-scraper.md - **Developed by:** [ScrapeGoats](https://apify.com/scrapegoats) (community) - **Categories:** Lead generation, News, AI - **Stats:** 192 total users, 1 monthly users, 100.0% runs succeeded, 12 bookmarks - **User rating**: 1.15 out of 5 stars ## Pricing $5.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## ⚙️ [Fast & Low Cost] BuiltWith Bulk Technology Profile Scraper --- Scrape **technology stacks** from any list of websites using BuiltWith — fast and at scale. Just provide a list of URLs. Perfect for marketers, developers, analysts, or sales teams looking to analyze web tech usage. --- ### 🧠 What It Does This scraper collects structured technology stack data from BuiltWith profiles and outputs a clean, exportable dataset in **CSV or JSON** format — ready for enrichment, targeting, or analytics. --- ### 🔧 Inputs - **URL List** (required): Provide a list of website URLs (e.g., `stripe.com`, `zoom.us`). The scraper will query BuiltWith for each. > ⚙️ **Note:** You can optionally use a **proxy** (custom or Apify's) to rotate IPs and avoid blocks from BuiltWith. --- ### 🛠️ How to use Just input all URLs manually or through a JSON file and get your data! --- ### 📤 Output Format You’ll get structured technology profile data like this (CSV or JSON): ```json { "domain": "chatgpt.com", "Analytics and Tracking": [ "Statsig" ], "Widgets": [ "Cloudflare Bot Manager", "CrUX Dataset", "CrUX Top 1000", "CrUX Top 500k", "Cloudflare Radar", "Cloudflare Radar Top 50k", "Cloudflare Turnstile", "Smart App Banner" ], "Frameworks": [ "Next.js", "Remix", "Java EE" ], "Mobile": [ "Viewport Meta", "IPhone / Mobile Compatible", "Apple Mobile Web Clips Icon" ], "Content Delivery Network": [ "jsDelivr", "Cloudflare", "Cloudflare Challenge", "Cloudflare Automatic Challenge", "Content Delivery Network" ], "Payment": [ "Stripe" ], "JavaScript Libraries and Functions": [ "jQuery", "Intersection Observer", "core-js", "React", "HTML5 History API" ], "Verified Link": [ "GitHub", "YouTube Link", "Artificial Intelligence" ], "Name Server": [ "3 to 9 ccTLD Redirects", "Cloudflare DNS" ], "Email Hosting Providers": [ "Dmarcian", "SPF", "DMARC", "DMARC Reject" ], "SSL Certificates": [ "LetsEncrypt", "SSL by Default", "HSTS", "HSTS IncludeSubdomains PreLoad" ], "Web Hosting Providers": [ "Cloudflare Hosting", "403 Error" ], "Operating Systems and Servers": [ "IPv6" ], "Web Servers": [ "Microsoft Personal Web Server" ], "Verified CDN": [ "Cloudflare CDN" ], "Robots.txt": [ "Some Robots Disallow", "Anthropic Claude Bot Disallow", "ByteDance Bytespider Disallow", "Common Crawl Bot Disallow", "Facebook Bot Disallow", "Google Bard Disallow", "Webz Omgili Disallow" ], "Web Master Registration": [ "Google Webmaster" ] } ```` *** ### 🎯 Common Use Cases - 🔍 Analyze the tech stack of competitor or prospect websites - 📊 Export clean data for market research and business intelligence - 🧲 Build contact lists based on technology usage (e.g., Shopify users) - ⚡ Runs fast, handles large URL lists efficiently - 🔌 **Seamless integration** with **Apify** for scheduling, proxies, datasets and webhooks *** ### 🧑‍🤝‍🧑 The team - 🐐 Developed and maintained by the **ScrapeGoats**. - 💬 Reach out on Discord if you're interested in custom scrapers or want to suggest new use cases. # Actor input Schema ## `domains` (type: `array`): Please enter list of domains. ## Actor input object example ```json { "domains": [ "chatgpt.com", "linkedin.com" ] } ``` # 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 = { "domains": [ "chatgpt.com", "linkedin.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapegoats/builtwith-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 = { "domains": [ "chatgpt.com", "linkedin.com", ] } # Run the Actor and wait for it to finish run = client.actor("scrapegoats/builtwith-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 '{ "domains": [ "chatgpt.com", "linkedin.com" ] }' | apify call scrapegoats/builtwith-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapegoats/builtwith-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "[Aug25] BuiltWith Bulk Technology Scraper - fast & low cost", "description": "Extract tech stack data from any list of websites using BuiltWith. Fast, simple, and exportable.", "version": "0.0", "x-build-id": "EnzVMwUViwHZoaBR5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapegoats~builtwith-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapegoats-builtwith-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapegoats~builtwith-scraper/runs": { "post": { "operationId": "runs-sync-scrapegoats-builtwith-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapegoats~builtwith-scraper/run-sync": { "post": { "operationId": "run-sync-scrapegoats-builtwith-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "domains" ], "properties": { "domains": { "title": "Domains", "type": "array", "description": "Please enter list of domains.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```