# Website Contact & Metadata Scraper (`snapperwapper/website-contact-metadata-scraper`) Actor Extract emails, phone numbers, social links, page titles, meta descriptions, languages, and canonical URLs from websites and likely contact/about pages. - **URL**: https://apify.com/snapperwapper/website-contact-metadata-scraper.md - **Developed by:** [snapperwapper](https://apify.com/snapperwapper) (community) - **Categories:** Lead generation, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Website Contact & Metadata Scraper Extract emails, phone numbers, social profile links, page titles, meta descriptions, languages, and canonical URLs from a list of websites. This Actor is a broad lead-generation and enrichment utility for sales teams, agencies, recruiters, SEO operators, and developers who need quick contact and website metadata from a URL list without writing custom scraping code. ### What it does - Scans each start URL for emails, phone numbers, and common social profile links. - Extracts page metadata such as title, meta description, canonical URL, and language. - Optionally follows likely same-domain contact, about, team, and support pages. - Accepts plain domains or full URLs. - Emits one dataset row per scanned page so users can inspect where each contact was found. - Can include error rows for failed pages when you want full auditability. ### Common use cases - Enrich a company URL list with contact emails and phone numbers. - Build lightweight lead datasets from business directories you already have. - Check website metadata for SEO or content audits. - Find official social profile links from company homepages. - Run scheduled checks over a small account or prospect list. ### Input - `startUrls`: websites or pages to scan. Plain domains are normalized to `https://`. - `findContactPages`: follow likely contact/about/team/support pages from the start URL. - `sameDomain`: keep discovered contact-page crawling on the same domain. - `maxPagesPerStartUrl`: maximum pages scanned per website, including discovered contact pages. - `maxResults`: maximum dataset rows across all websites. - `includeErrors`: emit rows for pages that fail instead of only logging them. ### Output Each dataset item includes fields such as: ```json { "url": "https://example.com/contact", "finalUrl": "https://example.com/contact", "pageType": "contactPage", "title": "Contact Example Inc", "metaDescription": "Contact Example Inc sales and support", "language": "en", "emails": ["sales@example.com"], "phones": ["+14155550100"], "socialLinks": { "linkedin": ["https://www.linkedin.com/company/example"] }, "scrapedAt": "2026-07-17T00:00:00.000Z" } ```` ### Notes and responsible use This Actor extracts information that appears on the submitted websites. It does not bypass logins, solve captchas, scrape private data, or enrich with third-party personal-data providers. Users are responsible for complying with applicable privacy, spam, and website terms when using extracted contact data. For best results, start with official company homepages and keep `maxPagesPerStartUrl` between 2 and 5. ### Pricing The Actor is currently published for demand validation as normal Apify platform usage. If monetized later, a simple pay-per-result model can charge per successfully scanned page or per website with at least one contact found. # Actor input Schema ## `startUrls` (type: `array`): Websites or pages to scan for emails, phone numbers, social links, and metadata. Plain domains are normalized to https://. ## `findContactPages` (type: `boolean`): Follow likely same-domain contact, about, team, and support links from each start URL. ## `sameDomain` (type: `boolean`): Only follow discovered contact/about links on the same domain as the start URL. ## `maxPagesPerStartUrl` (type: `integer`): Maximum pages to scan per start URL, including discovered contact/about pages. ## `maxResults` (type: `integer`): Maximum number of page records to emit across all websites. ## `includeErrors` (type: `boolean`): Emit dataset rows for failed pages instead of only logging them. ## Actor input object example ```json { "startUrls": [ { "url": "https://example.com" } ], "findContactPages": true, "sameDomain": true, "maxPagesPerStartUrl": 3, "maxResults": 10, "includeErrors": false } ``` # 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://example.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("snapperwapper/website-contact-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://example.com" }] } # Run the Actor and wait for it to finish run = client.actor("snapperwapper/website-contact-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://example.com" } ] }' | apify call snapperwapper/website-contact-metadata-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=snapperwapper/website-contact-metadata-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact & Metadata Scraper", "description": "Extract emails, phone numbers, social links, page titles, meta descriptions, languages, and canonical URLs from websites and likely contact/about pages.", "version": "0.1", "x-build-id": "vsOXIAHqcQGyw0AGT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/snapperwapper~website-contact-metadata-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-snapperwapper-website-contact-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/snapperwapper~website-contact-metadata-scraper/runs": { "post": { "operationId": "runs-sync-snapperwapper-website-contact-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/snapperwapper~website-contact-metadata-scraper/run-sync": { "post": { "operationId": "run-sync-snapperwapper-website-contact-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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Website URLs", "type": "array", "description": "Websites or pages to scan for emails, phone numbers, social links, and metadata. Plain domains are normalized to https://.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL", "description": "Website URL or domain to scan." } } } }, "findContactPages": { "title": "Find contact/about pages", "type": "boolean", "description": "Follow likely same-domain contact, about, team, and support links from each start URL.", "default": true }, "sameDomain": { "title": "Stay on same domain", "type": "boolean", "description": "Only follow discovered contact/about links on the same domain as the start URL.", "default": true }, "maxPagesPerStartUrl": { "title": "Maximum pages per website", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum pages to scan per start URL, including discovered contact/about pages.", "default": 3 }, "maxResults": { "title": "Maximum dataset records", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of page records to emit across all websites.", "default": 10 }, "includeErrors": { "title": "Include error rows", "type": "boolean", "description": "Emit dataset rows for failed pages instead of only logging them.", "default": false } } }, "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 } } } } } } } } } } ```