# Website Contact Extractor (`mighty_monk/website-contact-extractor`) Actor Extract contact information (emails, phone numbers, social profiles, addresses) from websites by crawling homepage, contact, about, and footer links. One structured result per domain with CSV and Markdown export. - **URL**: https://apify.com/mighty\_monk/website-contact-extractor.md - **Developed by:** [Harsh](https://apify.com/mighty_monk) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 domain contacts This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Website Contact Extractor **Extract emails, phone numbers, social profiles, and addresses from one or more websites.** Website Contact Extractor is an Apify Actor built with **TypeScript** and **Crawlee CheerioCrawler**. Point it at company homepages — it crawls the landing page plus contact/about/footer links, deduplicates contacts per domain, and writes a structured dataset plus CSV and Markdown summaries. ### Features - **Email extraction** — `mailto:` links, page text regex, schema.org; filters noise (`example.com`, Sentry, Wixpress, noreply, image extensions) - **Phone extraction** — `tel:` links, international patterns, `itemprop="telephone"` - **Social profiles** — LinkedIn, Twitter/X, Facebook, Instagram, YouTube, TikTok, GitHub - **Physical addresses** — schema.org `PostalAddress`, microdata, footer `
` blocks - **Contact page discovery** — follows contact, about, team, support, locations, impressum links - **Company name** — from `og:site_name`, page title, or JSON-LD Organization - **Per-domain deduplication** — one dataset item per domain with merged contacts - **Rate limiting & retries** — configurable concurrency, delay, and request retries - **Proxy-ready** — optional Apify Proxy configuration - **Exports** — `CONTACTS.csv` and `CONTACTS.md` in the default key-value store ### Installation ```bash ## Clone / open the Actor directory cd website-contact-extractor ## Install dependencies npm install ## Run locally (uses storage/key_value_stores/default/INPUT.json or --input) apify run ```` On the Apify platform, deploy with `apify push` or use the published Actor from the Store. ### Input | Field | Type | Required | Default | Description | | -------------------- | ---------- | -------- | --------- | -------------------------------------- | | `startUrls` | `object[]` | Yes | — | Homepage URLs to extract contacts from | | `maxPagesPerDomain` | `integer` | No | `10` | Max pages crawled per domain | | `maxConcurrency` | `integer` | No | `5` | Parallel request limit | | `maxRequestRetries` | `integer` | No | `3` | Retries for failed requests | | `requestDelayMs` | `integer` | No | `200` | Delay hint for rate limiting | | `followContactLinks` | `boolean` | No | `true` | Crawl discovered contact/about links | | `includeEmails` | `boolean` | No | `true` | Extract emails | | `includePhones` | `boolean` | No | `true` | Extract phones | | `includeSocials` | `boolean` | No | `true` | Extract social profiles | | `includeAddresses` | `boolean` | No | `true` | Extract physical addresses | | `proxyConfiguration` | `object` | No | Proxy off | Apify Proxy settings | #### Example input ```json { "startUrls": [ { "url": "https://www.apify.com" }, { "url": "https://www.shopify.com" }, { "url": "https://stripe.com" } ], "maxPagesPerDomain": 5, "maxConcurrency": 5, "requestDelayMs": 200, "followContactLinks": true, "includeEmails": true, "includePhones": true, "includeSocials": true, "includeAddresses": true } ``` See also: [`examples/input.json`](examples/input.json) ### Output Each dataset item is one domain: | Field | Type | Description | | ----------------- | ---------------- | ------------------------------------- | | `domain` | `string` | Normalized host without `www` | | `url` | `string` | Start URL for the domain | | `companyName` | `string \| null` | Detected company/site name | | `emails` | `string[]` | Deduplicated emails | | `phones` | `string[]` | Deduplicated phones | | `socials` | `object` | Map of platform → profile URL | | `addresses` | `string[]` | Physical addresses when found | | `contactPageUrls` | `string[]` | Discovered contact/about URLs | | `pagesScraped` | `integer` | Pages successfully scraped | | `scrapedAt` | `string` | ISO timestamp | | `error` | `string \| null` | Present if the domain failed entirely | #### Example output ```json { "domain": "apify.com", "url": "https://www.apify.com", "companyName": "Apify", "emails": ["hello@apify.com"], "phones": [], "socials": { "linkedin": "https://www.linkedin.com/company/apifytech", "twitter": "https://twitter.com/apify", "github": "https://github.com/apify" }, "addresses": [], "contactPageUrls": ["https://apify.com/contact"], "pagesScraped": 3, "scrapedAt": "2026-07-13T12:00:00.000Z" } ``` #### Key-value store exports | Key | Content type | Description | | -------------- | ------------------ | ------------------------------- | | `CONTACTS.csv` | `text/csv` | Flat CSV summary of all domains | | `CONTACTS.md` | `text/markdown` | Human-readable Markdown report | | `OUTPUT` | `application/json` | Run summary stats | See also: [`examples/output.json`](examples/output.json) ### How it works 1. **Start URLs** — Each unique domain is queued once (first URL wins as the primary). 2. **Homepage scrape** — Cheerio parses the page for emails, phones, socials, addresses, and company name. 3. **Contact link discovery** — Same-domain links matching contact/about/team/support/locations patterns are enqueued (up to `maxPagesPerDomain`). 4. **Merge & dedupe** — Contacts from all pages are merged per domain. 5. **Export** — One dataset item per domain, plus `CONTACTS.csv` and `CONTACTS.md`. ### Pricing **$0.003 per domain result** using Apify pay-per-event (`apify-default-dataset-item`). Charged once per domain written to the dataset. ### Run locally ```bash npm install npm run build npm test apify run -p -i examples/input.json ``` ### Limitations - **Static HTML only** — Uses Cheerio (no browser). Contacts injected purely via client-side JavaScript may be missed. - **Obfuscated emails** — Cloud-encoded or image-only emails are not decoded. - **Address detection** — Best with schema.org / microdata; free-form footer text is heuristic. - **Phone false positives** — Aggressive phone regex can occasionally match non-phone number sequences; noise filters reduce this. - **Same-domain only** — Contact links on other domains are not followed. - **Rate limits** — Aggressive settings may trigger site WAF/bot protection; enable Apify Proxy for production. ### FAQ **How many pages are crawled per site?**\ Up to `maxPagesPerDomain` (default 10): the start URL plus discovered contact/about links. **Can I extract only emails?**\ Yes. Set `includePhones`, `includeSocials`, and `includeAddresses` to `false`. **Does it work without a proxy?**\ Yes for small local tests. For bulk production runs, enable `proxyConfiguration.useApifyProxy`. **Where is the CSV?**\ In the run’s default key-value store under key `CONTACTS.csv`. **One result or many?**\ One dataset item **per unique domain**, regardless of how many pages were scraped on that domain. ### Changelog #### 1.0.0 - Initial release - Email, phone, social, address extraction with CheerioCrawler - Contact/about link following and per-domain deduplication - CSV and Markdown exports - Input flags for selective extraction - LEAD\_GENERATION + DEVELOPER\_TOOLS categories ### License Apache-2.0 # Actor input Schema ## `startUrls` (type: `array`): Homepage or landing page URLs to extract contacts from. One result is produced per unique domain. ## `maxPagesPerDomain` (type: `integer`): Maximum number of pages to crawl per domain (homepage + contact/about links). ## `maxConcurrency` (type: `integer`): Maximum number of pages processed in parallel. ## `maxRequestRetries` (type: `integer`): How many times to retry failed HTTP requests before giving up. ## `requestDelayMs` (type: `integer`): Approximate delay between requests used for rate limiting (converted to maxRequestsPerMinute). ## `followContactLinks` (type: `boolean`): When enabled, discovers and crawls contact, about, team, support, and location pages linked from the homepage. ## `includeEmails` (type: `boolean`): Extract email addresses from mailto links, page text, and structured data. ## `includePhones` (type: `boolean`): Extract phone numbers from tel: links, schema.org, and text patterns. ## `includeSocials` (type: `boolean`): Extract LinkedIn, Twitter/X, Facebook, Instagram, YouTube, TikTok, and GitHub profile URLs. ## `includeAddresses` (type: `boolean`): Extract physical addresses from schema.org PostalAddress, microdata, and footer blocks when detectable. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy settings for production runs. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.apify.com" }, { "url": "https://www.shopify.com" }, { "url": "https://stripe.com" } ], "maxPagesPerDomain": 10, "maxConcurrency": 5, "maxRequestRetries": 3, "requestDelayMs": 200, "followContactLinks": true, "includeEmails": true, "includePhones": true, "includeSocials": true, "includeAddresses": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): No description ## `csv` (type: `string`): No description ## `markdown` (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://www.apify.com" }, { "url": "https://www.shopify.com" }, { "url": "https://stripe.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("mighty_monk/website-contact-extractor").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://www.apify.com" }, { "url": "https://www.shopify.com" }, { "url": "https://stripe.com" }, ] } # Run the Actor and wait for it to finish run = client.actor("mighty_monk/website-contact-extractor").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://www.apify.com" }, { "url": "https://www.shopify.com" }, { "url": "https://stripe.com" } ] }' | apify call mighty_monk/website-contact-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mighty_monk/website-contact-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Extractor", "description": "Extract contact information (emails, phone numbers, social profiles, addresses) from websites by crawling homepage, contact, about, and footer links. One structured result per domain with CSV and Markdown export.", "version": "1.0", "x-build-id": "fRsOtcPKxbDASz7rc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mighty_monk~website-contact-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mighty_monk-website-contact-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mighty_monk~website-contact-extractor/runs": { "post": { "operationId": "runs-sync-mighty_monk-website-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mighty_monk~website-contact-extractor/run-sync": { "post": { "operationId": "run-sync-mighty_monk-website-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Homepage or landing page URLs to extract contacts from. One result is produced per unique domain.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerDomain": { "title": "Max pages per domain", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of pages to crawl per domain (homepage + contact/about links).", "default": 10 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of pages processed in parallel.", "default": 5 }, "maxRequestRetries": { "title": "Max request retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "How many times to retry failed HTTP requests before giving up.", "default": 3 }, "requestDelayMs": { "title": "Request delay (ms)", "minimum": 0, "maximum": 60000, "type": "integer", "description": "Approximate delay between requests used for rate limiting (converted to maxRequestsPerMinute).", "default": 200 }, "followContactLinks": { "title": "Follow contact/about links", "type": "boolean", "description": "When enabled, discovers and crawls contact, about, team, support, and location pages linked from the homepage.", "default": true }, "includeEmails": { "title": "Extract emails", "type": "boolean", "description": "Extract email addresses from mailto links, page text, and structured data.", "default": true }, "includePhones": { "title": "Extract phones", "type": "boolean", "description": "Extract phone numbers from tel: links, schema.org, and text patterns.", "default": true }, "includeSocials": { "title": "Extract social profiles", "type": "boolean", "description": "Extract LinkedIn, Twitter/X, Facebook, Instagram, YouTube, TikTok, and GitHub profile URLs.", "default": true }, "includeAddresses": { "title": "Extract addresses", "type": "boolean", "description": "Extract physical addresses from schema.org PostalAddress, microdata, and footer blocks when detectable.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy settings for production runs.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```