# Crunchbase Email Scraper Fast Advanced And Cheapest (`solid-scraper/crunchbase-email-scraper-fast-advanced-and-cheapest`) Actor 🚀 Find verified B2B contacts fast with Crunchbase Email Scraper—advanced, budget-friendly, and highly accurate. Target by company, role & location to grow sales, outreach & lead gen. 💼📧 - **URL**: https://apify.com/solid-scraper/crunchbase-email-scraper-fast-advanced-and-cheapest.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 $2.99 / 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.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 ### Crunchbase Email Scraper - Fast, Advanced and Cheapest 📩 **Crunchbase Email Scraper - Fast, Advanced and Cheapest** is an Apify actor that extracts email addresses from Crunchbase based on the keywords and filters you choose. If you’re looking to **scrape Crunchbase emails**, build **Crunchbase leads email extraction** lists, or power **CRM email extraction** workflows, this actor helps you quickly find and collect contact emails from publicly available web data—saving you hours of manual work. Whether you’re a marketer, growth lead, recruiter, or data enthusiast, you can use **Crunchbase contact email finder** style keyword searches plus email-domain filters to enrich leads with email contacts at scale using a **B2B email scraper tool** approach. --- ### Why choose Crunchbase Email Scraper - Fast, Advanced and Cheapest? | Feature | Benefit | |---|---| | ✅ **All-in-one Crunchbase email extraction** | Extract emails and profile-related snippets in one run | | ✅ **Keyword + location + email-domain filtering** | Use targeted keywords and domain filters (e.g. `@gmail.com`) for better relevance | | ✅ **Resilient scraping with fallbacks and stop conditions** | Includes retries/fallback behavior and stops safely when limits are met | | ✅ **Structured dataset output** | Produces consistent rows with `keyword`, `title`, `url`, and `email` for easy analysis | | ✅ **Scales across keyword/domain combinations** | Runs through your keyword list × custom domain list to expand coverage | | ✅ **Incremental saving** | Pushes each discovered record to the dataset as it’s found | --- ### Key features - 📌 **Crunchbase-focused email extraction**: Collects email addresses found in Crunchbase-related result content using your keywords and domain filters - 🔤 **Flexible search input**: Provide multiple `keywords`, an optional `location`, and multiple `customDomains` to tune results - 🧠 **Domain-targeted precision**: Uses your email-domain filters (like `@gmail.com`) to focus on the emails you actually want - 🛡️ **Reliability & resilience**: Designed with retry logic and safe stopping conditions to reduce wasted runs - 💾 **Incremental dataset writing**: Each discovered lead row is pushed to the dataset immediately so you don’t lose progress - 🔄 **Resume support**: Maintains progress (cursor + previously seen emails) so interrupted runs can continue - 🎯 **Controlled cost via max emails**: Stops when `maxEmails` is reached to help manage scraping time and results volume --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["manager", "founder"], "location": "", "customDomains": ["@gmail.com", "@yahoo.com"], "maxEmails": 20 } ```` #### Input Fields | Field | Required | Description | |---|---|---| | `keywords` | ✅ Yes | A list of keywords or queries to search for (used to drive Crunchbase prospecting email tool style extraction). | | `location` | ❌ No | Location to filter search results. Leave it blank to search without a location filter. | | `customDomains` | ❌ No | A list of email domains to focus on (for example `@gmail.com`, `@yahoo.com`). This improves match quality when you need specific inbox types. | | `maxEmails` | ❌ No | Maximum number of emails to collect. The scraper stops once this limit is reached. Higher values can take longer and still don’t guarantee you’ll reach the full number. | *** ### Output The actor saves each discovered lead’s data in JSON format inside the **Crunchbase Emails Dataset** (dataset view: **Scraped Leads**). Each row corresponds to a found email address along with the associated snippet metadata. Example pushed row: ```json { "network": "Crunchbase.com", "keyword": "manager", "title": "No title", "description": "No data", "url": "No URL", "email": "example@gmail.com" } ``` #### Output Fields | Field | Type | Description | |---|---|---| | `network` | string | Source network label: `Crunchbase.com` | | `keyword` | string | The keyword that produced this result | | `title` | string | Result title text (or `No title` if missing) | | `description` | string | Extracted description text (or `No data` if missing) | | `url` | string | Link associated with the result (or `No URL` if missing) | | `email` | string | The extracted email address | Note: The dataset is incrementally filled as the actor finds and pushes results, which fits workflows like **enrich leads with email** and downstream exports into JSON/CSV. *** ### How to use Crunchbase Email Scraper - Fast, Advanced and Cheapest (via Apify Console) 1. **Open Apify Console**: Sign in at [console.apify.com](https://console.apify.com) and go to the Actors area. 2. **Find the actor**: Search for **Crunchbase Email Scraper - Fast, Advanced and Cheapest** and open the actor page. 3. **Go to the INPUT section**: Configure the input using the built-in form (or paste an `input.json`). 4. **Set your `keywords`**: Add roles/titles you want to target (for example: `manager`, `founder`). 5. **(Optional) Add `location`**: Use this only if you want location-based filtering; otherwise keep it blank. 6. **(Optional) Add `customDomains`**: Choose which email domains you want (for example `@gmail.com`). This is especially useful for **Crunchbase contact email finder** and **person company email finder** use cases. 7. **Set `maxEmails` (optional)**: Pick a number to control the run length. If you don’t set it, the default is `20`. Keep in mind free runs can be capped. 8. **Run & monitor logs**: Watch the actor logs for progress updates. If needed, it can resume from saved progress (cursor + already seen emails). 9. **Open the dataset output**: After completion, go to the dataset (**Scraped Leads**) and export your data (JSON/CSV depending on your Apify dataset options). No coding required — get **Crunchbase leads email extraction** results in minutes. *** ### Advanced features & SEO optimization - 🔍 **Engineered-for-purpose keyword-driven extraction**: Optimized for “Crunchbase email scraper” style lead generation email extraction workflows using your provided `keywords` - 🎯 **Email-domain targeting**: Improves relevance for **advanced email scraping software** scenarios by focusing on `customDomains` like `@gmail.com` - 🔄 **Progress persistence for resilience**: Resume support helps when you’re running larger combinations of keywords and domains - 🧾 **Structured output for analysis**: Consistent dataset rows make it easy to validate, deduplicate (by `email`), and analyze performance by `keyword` or `url` - ⏱️ **Controlled stopping with `maxEmails`**: Uses a clear limit so you can scale **fast business email scraper** runs without endless collection *** ### Best use cases - 📈 **Lead generation email scraper**: Build targeted outreach lists by extracting emails aligned to titles like “manager” and “founder” - 🧠 **Market research enrichment**: Combine keyword-based discovery with email contacts to speed up prospect profiling - ✉️ **B2B email scraper tool for campaigns**: Quickly gather contact emails for follow-up messaging and sequence testing - 🧩 **CRM email extraction**: Feed structured dataset rows into CRM workflows where `email`, `url`, and `keyword` are crucial fields - 👤 **Person company email finder**: Use `customDomains` to focus on the inbox types you prefer for higher deliverability - 🏢 **Sales prospecting email tool**: Expand coverage by running multiple keywords × multiple email domains - 🛠️ **Data analyst workflows**: Analyze which keywords yield more unique emails using the dataset’s `keyword` dimension *** ### Technical specifications - **Supported Input Formats** - ✅ `keywords` as an array - ✅ `location` as a string (optional) - ✅ `customDomains` as an array of strings (optional) - ✅ `maxEmails` as an integer (optional) - **Proxy Support** - ✅ Built-in proxy support for reliable scraping (high-level: includes fallback behavior) - **Retry Mechanism** - ✅ Includes retries/fallback behavior and stops under defined conditions to keep runs efficient - **Dataset Structure** - ✅ Each pushed row contains: `network`, `keyword`, `title`, `description`, `url`, `email` - **Rate Limits & Performance** - ✅ Performance depends on run size and returned results; `maxEmails` helps control runtime - **Limitations** - ❌ Not all results will contain an email address matching your `customDomains` - ❌ You may collect fewer emails than `maxEmails` depending on what’s available in the fetched public data *** ### FAQ #### How does Crunchbase Email Scraper - Fast, Advanced and Cheapest find emails? ✅ It extracts email addresses found in publicly available sources related to Crunchbase results, using your provided `keywords`, optional `location`, and `customDomains` filters. Results are pushed into the dataset as structured rows containing `email` and supporting fields like `title`, `description`, and `url`. #### What input is required to start scraping? ✅ You must provide `keywords`. The actor can also use `location`, `customDomains`, and `maxEmails` to refine and control the run. #### Can I filter by specific email domains? ✅ Yes. Use `customDomains` (for example `@gmail.com`, `@yahoo.com`) to focus the **Crunchbase contact email finder** results on the email addresses you’re most likely to use in outreach. #### Will the actor always collect exactly `maxEmails`? ❌ No. The scraper stops when it reaches the limit, but it doesn’t guarantee it will reach `maxEmails`. Available results and matching emails may lead to fewer collected records. #### Does it support large keyword and domain lists? ✅ Yes. The actor iterates through your keyword list and your `customDomains`. It also includes progress persistence so you can resume rather than restart from scratch. #### How are the results stored and exported? ✅ The actor saves results incrementally into the **Crunchbase Emails Dataset** (Scraped Leads view). From there, you can export using Apify’s dataset export options (for example JSON/CSV, depending on your configuration). #### Is this tool legal and compliant to use? ✅ The actor is designed to work with **publicly accessible sources**. It’s still your responsibility to comply with applicable laws (for example GDPR/CCPA), privacy requirements, spam regulations, and the target websites’ terms while using this **data enrichment email tool** responsibly. *** ### Support & feature requests Want to improve **Crunchbase Email Scraper - Fast, Advanced and Cheapest** (for example, better filtering options, additional export friendliness, or enhancements to the lead output)? - 💡 **Feature Requests**: Share specific enhancements like improved CSV-ready formatting, more extraction patterns, or tighter deduplication behavior. - 📧 **Contact**: Email . Your feedback helps shape the roadmap for this **cheapest email scraper** experience. *** ### *Crunchbase Email Scraper - Fast, Advanced and Cheapest* — built to be fast, structured, and ready for real lead enrichment at scale. *** ### Disclaimer This tool only accesses **publicly accessible sources**. It does not access private profiles, authenticated data, or password-protected content. You are responsible for complying with applicable laws and requirements (including GDPR/CCPA), as well as privacy rules, spam regulations, and the terms of service of any websites whose data is processed. If you need data removal, contact . Use this tool responsibly, ethically, and for legitimate purposes only. # Actor input Schema ## `keywords` (type: `array`): A list of keywords or queries to search for. ## `location` (type: `string`): Location to filter search results. ## `customDomains` (type: `array`): List of custom email domains ## `maxEmails` (type: `integer`): Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time. ## Actor input object example ```json { "keywords": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ], "maxEmails": 20 } ``` # 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 = { "keywords": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/crunchbase-email-scraper-fast-advanced-and-cheapest").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 = { "keywords": [ "manager", "founder", ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com", ], } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/crunchbase-email-scraper-fast-advanced-and-cheapest").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 '{ "keywords": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ] }' | apify call solid-scraper/crunchbase-email-scraper-fast-advanced-and-cheapest --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/crunchbase-email-scraper-fast-advanced-and-cheapest", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crunchbase Email Scraper Fast Advanced And Cheapest", "description": "🚀 Find verified B2B contacts fast with Crunchbase Email Scraper—advanced, budget-friendly, and highly accurate. Target by company, role & location to grow sales, outreach & lead gen. 💼📧", "version": "1.0", "x-build-id": "waE4sGUASeFBYxYrr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~crunchbase-email-scraper-fast-advanced-and-cheapest/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-crunchbase-email-scraper-fast-advanced-and-cheapest", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~crunchbase-email-scraper-fast-advanced-and-cheapest/runs": { "post": { "operationId": "runs-sync-solid-scraper-crunchbase-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~crunchbase-email-scraper-fast-advanced-and-cheapest/run-sync": { "post": { "operationId": "run-sync-solid-scraper-crunchbase-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords or Queries", "type": "array", "description": "A list of keywords or queries to search for.", "default": [ "manager", "founder" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to filter search results.", "default": "" }, "customDomains": { "title": "Enter Custom Email Domains (e.g. @gmail.com, @yahoo.com)", "type": "array", "description": "List of custom email domains", "default": [ "@gmail.com", "@yahoo.com" ], "items": { "type": "string" } }, "maxEmails": { "title": "Enter Max Emails", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.", "default": 20 } } }, "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 } } } } } } } } } } ```