# Website Email Scraper (`solid-scraper/website-email-scraper`) Actor 📧 Website Email Scraper extracts valid emails from business sites fast—find leads using filters like keywords, location, and industry. 🚀 Ideal for sales, marketing, and agencies. Save time, boost outreach, and grow pipelines. ⚡ - **URL**: https://apify.com/solid-scraper/website-email-scraper.md - **Developed by:** [SolidScraper](https://apify.com/solid-scraper) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 results 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/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 Email Scraper 🔍 **Website Email Scraper** automatically extracts contact information from websites—helping you find emails (and optionally phone numbers and social media profile links) from publicly available web pages. If you’re looking for a **website email scraper** or an **email scraper tool** for lead generation, this actor streamlines the process so you can build cleaner outreach lists faster. Whether you’re a marketer, recruiter, or data analyst, it turns web pages into structured data you can use at scale—saving you hours of manual work. --- ### Why choose Website Email Scraper? | Feature | Benefit | | --- | --- | | ✅ **All-in-one contact extraction** | Extract emails, phone numbers, and social media profile links in one run | | ✅ **Reliability-focused proxy support** | Improves scraping stability with built-in proxy support for reliable crawling | | ✅ **Resilience with fallbacks** | Includes retries and fallbacks for resilience when pages are difficult to access | | ✅ **Structured dataset output** | Writes results into a dataset with consistent fields for easy analysis and import | | ✅ **Scales across multiple sites** | Scrape many target websites in a single actor run using your provided URL list | | ✅ **Ready for workflows** | Works well as an input step for CRM enrichment, outreach, and research pipelines | --- ### Key features - 📧 **Accurate email extraction**: Collects email addresses found on target websites and organizes them under `emails` - 📱 **Optional phone extraction**: When enabled, extracts phone numbers found on the pages into `phone_numbers` - 🌐 **Optional social media extraction**: When enabled, detects social media profile links and outputs them in `social_media` - 🧭 **Website URL support**: Accepts a list of `targetUrls` and scrapes each provided domain - 🛡️ **Proxy-based scraping support**: Uses your proxy configuration (with Apify Proxy as an option) to help avoid blocking - 🔄 **Deduplicated social results**: Deduplicates social media entries by normalized URL to reduce repeated links - 💾 **Instant dataset saving**: Pushes results domain-by-domain so you can access partial output even before the run ends --- ### Input Provide input via an `input.json` file. Example structure: ```json { "targetUrls": [ { "url": "https://apify.com" }, { "url": "example.com" } ], "enablePhoneExtraction": true, "enableSocialMediaExtraction": true, "proxySettings": { "useApifyProxy": true } } ```` #### Input Fields | Field | Required | Description | | --- | --- | --- | | `targetUrls` | ✅ | A list of target website URLs to scrape for contact information. Provide one or more items with a `url`. | | `enablePhoneExtraction` | ❌ | Enables extraction of phone numbers found on the pages. Default is `true`. | | `enableSocialMediaExtraction` | ❌ | Enables detection and extraction of social media profile links (for example, LinkedIn, Twitter, Facebook). Default is `true`. | | `proxySettings` | ❌ | Proxy configuration for the run. Using residential proxies is highly recommended to avoid blocking. | | `proxySettings.proxy support` | ❌ | When `true`, the actor will use Apify Proxy. Default prefill is `true`. | > Note: If you provide `targetUrls`, the actor will parse each entry, normalize it, and scrape contact details for each domain found. *** ### Output The actor saves each domain’s scraped contact information into the Apify dataset as JSON objects. ```json { "domain": "example.com", "homepage_url": "https://example.com", "emails": [ { "email": "contact@example.com", "confidence_score": 92.5, "source_url": "https://example.com/contact", "source_type": "contact_page", "validation_status": "unknown" } ], "phone_numbers": [ { "phone": "+1 555 123 4567", "formatted": "+15551234567", "source_url": "https://example.com/contact" } ], "social_media": [ { "platform": "linkedin", "url": "https://www.linkedin.com/company/example", "source_url": "https://example.com/about" } ] } ``` #### Output Fields | Field | Type | Description | | --- | --- | --- | | `domain` | string | The scraped domain derived from the provided target URL. | | `homepage_url` | string | The homepage URL for the domain in the form `https://{domain}`. | | `emails` | array | Extracted email entries for the domain (may be empty if none are found). | | `emails[].email` | string | The email address. | | `emails[].confidence_score` | number | A confidence score associated with the extracted email. | | `emails[].source_url` | string | The page URL where the email was found. | | `emails[].source_type` | string | The category describing where the email came from (e.g., contact/about/footer/body/header). | | `emails[].validation_status` | string | Email validation status (e.g., `unknown`, as produced by the actor’s configuration). | | `phone_numbers` | array | Extracted phone entries for the domain (present only when phone extraction is enabled; otherwise typically empty). | | `phone_numbers[].phone` | string | The raw extracted phone number. | | `phone_numbers[].formatted` | string | A formatted version of the phone number (when available). | | `phone_numbers[].source_url` | string | The page URL where the phone number was found. | | `social_media` | array | Extracted social media profile links for the domain (may be empty if none are found or when social extraction is disabled). | | `social_media[].platform` | string | The social platform name (for example, LinkedIn, Twitter, Facebook). | | `social_media[].url` | string | The social media profile URL. | | `social_media[].source_url` | string | The page URL where the social link was found. | After execution, you can export the dataset from the Apify platform to JSON or CSV, depending on your workflow needs. *** ### How to use Website Email Scraper (via Apify Console) 1. **Open Apify Console**: Go to [console.apify.com](https://console.apify.com) and sign in. 2. **Find the actor**: In the Actors search, select **Website Email Scraper**. 3. **Add your INPUT**: In the **INPUT** panel, paste your `targetUrls` list. You can also toggle `enablePhoneExtraction` and `enableSocialMediaExtraction`. 4. **Set proxy options (optional)**: In **Proxy configuration**, you can enable `proxy support` under `proxySettings` to start with Apify Proxy support. 5. **Run the actor**: Click **Run** to start scraping. Watch the live logs to confirm which domains are being processed. 6. **Review progress & results**: As each domain finishes, results are pushed to the dataset (so you can inspect partial output while the run continues). 7. **Open the dataset**: After completion, go to the **OUTPUT** tab, open the dataset, and export your scraped email addresses and contact details. No coding required—get accurate results in minutes with **Website Email Scraper**. ⚡ *** ### Advanced features & SEO optimization - 🔄 **Engineered for automated email harvesting**: Designed for practical “bulk email extractor” workflows by scraping emails from public web pages and returning consistent dataset records. - 🌐 **Website to email scraper workflow**: Uses your provided target websites and outputs contact emails, phone numbers, and social media profile links (when enabled) in one unified structure. - 🛡️ **Resilience for real-world websites**: Includes retries and fallbacks for better success when pages are slow, partially accessible, or inconsistent. - ✅ **Clean, marketer-friendly structure**: Returns `domain`, `homepage_url`, `emails`, `phone_numbers`, and `social_media` so you can feed downstream enrichment or outreach quickly. - 📝 **Works great for lead generation**: A solid “lead generation email scraper” option when you want a scraper for email list building rather than manual searching. *** ### Best use cases - 📈 **B2B marketing teams building outreach lists**: Speed up find email addresses online for companies you research from their websites. - 🧑‍💼 **Recruiters sourcing hiring contacts**: Extract emails and social links from company sites to reach the right teams faster. - 🔎 **Data analysts enriching datasets**: Scrape contact emails from web to join with CRM records and improve data completeness. - ✉️ **Growth operators running email marketing**: Collect emails programmatically for campaign audiences while keeping output structured for imports. - 🧾 **Researchers compiling contact information**: Use an automated email scraping workflow to gather contact details from publicly available sources. - 🛠️ **Developers in pipeline automation**: Use this email harvesting software step to populate databases or trigger follow-up actions. *** ### Technical specifications - **Supported Input Formats** - ✅ `targetUrls`: array of objects containing `url` - ✅ Accepts URLs with or without protocol (the actor normalizes them) - **Proxy Support** - ✅ Built-in proxy support via `proxySettings` - ✅ `proxySettings.proxy support` (prefilled to `true`) - **Extraction Controls** - ✅ `enablePhoneExtraction` (default `true`) - ✅ `enableSocialMediaExtraction` (default `true`) - **Retries & Reliability** - ✅ Includes retries and fallbacks for resilience - **Dataset Structure** - ✅ Each domain produces one dataset item with: `domain`, `homepage_url`, `emails`, `phone_numbers`, `social_media` - **Limitations** - ❌ Only extracts from publicly available sources; it does not retrieve private/authenticated data - ❌ If a site contains no discoverable emails/phones/social links, the corresponding arrays will be empty *** ### FAQ #### Does Website Email Scraper require coding? ✅ No. You can run it directly from Apify Console by providing your `input.json` (especially your `targetUrls`) and then exporting the dataset results afterward. #### What kinds of data does Website Email Scraper return? ✅ It outputs structured data including `emails` (with `confidence_score`, `source_url`, `source_type`, and `validation_status`). Depending on your toggles, it can also return `phone_numbers` and `social_media`. #### Can I scrape phone numbers and social media links too? ✅ Yes. `enablePhoneExtraction` and `enableSocialMediaExtraction` control whether the actor extracts `phone_numbers` and `social_media`. #### What happens if a website has no emails or contact details? ❌ You’ll still receive a dataset record for the domain, but the corresponding arrays (like `emails`, `phone_numbers`, or `social_media`) will be empty. #### How does proxy configuration work? ✅ You can configure `proxySettings`, including `proxy support`. The actor uses your proxy configuration to help keep scraping reliable across sites. #### Is the output in a format I can import into other tools? ✅ Yes. Results are saved to an Apify dataset as JSON objects with consistent field names, which you can export (for example, to JSON or CSV depending on your setup). #### Is email validation performed? ✅ The dataset includes `validation_status` for each email and a `confidence_score`. With the current actor configuration, `validate_emails` is set internally, and the output reflects the actor’s produced validation status. #### Where can I contact support or request improvements? 💡 For help or feature requests, email . *** ### Support & feature requests Have feedback to improve **Website Email Scraper**? We’d love to hear it. 👇 - 💡 **Feature Requests**: Ideas like CSV export customization, additional filters, or CRM-ready schemas for scraping contact emails. - 📧 **Contact**: Reach out at . Your feedback directly shapes future improvements to the actor and how well it supports email scraper tool use cases. *** ### Closing CTA / Final thoughts *If you need an SEO-optimized website email scraper for reliable, structured contact extraction, **Website Email Scraper** is built for exactly that.*\ *Scrape contact emails from multiple websites faster—then use the dataset results to power your outreach, research, and enrichment pipelines.* *** ### Disclaimer **Website Email Scraper accesses publicly accessible sources only.** It does not access private profiles, password-protected pages, or authenticated data. Compliance with applicable laws (including GDPR and CCPA), spam regulations, and each website’s Terms of Service is your responsibility. For data removal requests, contact . Please use this tool responsibly, ethically, and for legitimate purposes only. # Actor input Schema ## `targetUrls` (type: `array`): List of target website URLs to scrape for contact information. ## `enablePhoneExtraction` (type: `boolean`): If enabled, the scraper will also extract phone numbers found on the pages. ## `enableSocialMediaExtraction` (type: `boolean`): If enabled, the scraper will detect and extract social media profile links (e.g., LinkedIn, Twitter, Facebook). ## `proxySettings` (type: `object`): Configuration for proxies. Using residential proxies is highly recommended to avoid blocking. ## Actor input object example ```json { "targetUrls": [ { "url": "https://apify.com" } ], "enablePhoneExtraction": true, "enableSocialMediaExtraction": true, "proxySettings": { "useApifyProxy": true } } ``` # 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 = { "targetUrls": [ { "url": "https://apify.com" } ], "proxySettings": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/website-email-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 = { "targetUrls": [{ "url": "https://apify.com" }], "proxySettings": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/website-email-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 '{ "targetUrls": [ { "url": "https://apify.com" } ], "proxySettings": { "useApifyProxy": true } }' | apify call solid-scraper/website-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/website-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Email Scraper", "description": "📧 Website Email Scraper extracts valid emails from business sites fast—find leads using filters like keywords, location, and industry. 🚀 Ideal for sales, marketing, and agencies. Save time, boost outreach, and grow pipelines. ⚡", "version": "1.0", "x-build-id": "vqjQYIw73jn4E4Yp5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~website-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-website-email-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~website-email-scraper/runs": { "post": { "operationId": "runs-sync-solid-scraper-website-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~website-email-scraper/run-sync": { "post": { "operationId": "run-sync-solid-scraper-website-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "targetUrls" ], "properties": { "targetUrls": { "title": "Target Websites", "type": "array", "description": "List of target website URLs to scrape for contact information.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "enablePhoneExtraction": { "title": "Enable Phone Extraction", "type": "boolean", "description": "If enabled, the scraper will also extract phone numbers found on the pages.", "default": true }, "enableSocialMediaExtraction": { "title": "Enable Social Media Extraction", "type": "boolean", "description": "If enabled, the scraper will detect and extract social media profile links (e.g., LinkedIn, Twitter, Facebook).", "default": true }, "proxySettings": { "title": "Proxy Settings", "type": "object", "description": "Configuration for proxies. Using residential proxies is highly recommended to avoid blocking." } } }, "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 } } } } } } } } } } ```