# B2B-lead-generator (`kid1141/lead-gen-api`) Actor 🔍 Local Business Lead Generator Extract verified business leads — emails, phones, and addresses — from any niche and location. Combines DuckDuckGo search with intelligent website crawling, contact page detection, and directory site extraction to deliver clean, scored leads ready for outreach. - **URL**: https://apify.com/kid1141/lead-gen-api.md - **Developed by:** [Asad Wani](https://apify.com/kid1141) (community) - **Categories:** Lead generation, Automation, E-commerce - **Stats:** 6 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.0001 / result This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Verified Lead Generation API for Apify Store This project is a starting point for an **Apify Store actor** that finds business leads from public web search results and keeps only leads with visible verification signals. ### What it does - Searches public web results for business-intent queries like `dentist in chicago` - Visits each discovered website - Extracts public contact signals such as email, phone, and contact form presence - Optionally checks a likely contact or about page for stronger evidence - Outputs leads with: - source URLs - verification flags - confidence score - extracted public contact details ### Why this can sell Most lead tools overpromise and deliver low-trust junk. This actor is positioned around: - **verification-first output** - **transparent sourcing** - **confidence scoring** - **public-web compliance mindset** That makes it more credible for agencies, sales teams, freelancers, and local SEO operators who care about quality over raw volume. ### Honest positioning Do not market this as "100% genuine" or "guaranteed accurate". That claim will not hold up in the real world. A much stronger Store angle is: - "Public-web business leads with verification flags" - "Lead generation API with source URLs and confidence score" - "Local business lead finder with website-level contact verification" ### Suggested niche focus You will likely make more money if you launch with a narrow promise first. Good starting niches: - local service businesses - medical and dental clinics - agencies and consultants - home services - legal practices You can later add vertical-specific enrichments once the base actor works. ### Input example ```json { "queries": [ "dentist in chicago", "roofing company in dallas" ], "maxResultsPerQuery": 10, "crawlContactPages": true, "requireWebsite": true, "requireEmailOrPhone": true, "minimumConfidenceScore": 55, "includeSocialLinks": true } ```` ### Output shape Each dataset item includes fields like: - `leadName` - `website` - `emails` - `phones` - `addressHints` - `socialLinks` - `sourceUrls` - `verificationFlags` - `confidenceScore` ### Recommended next upgrades 1. Add business deduplication by root domain and business name. 2. Add optional country and language targeting. 3. Add support for search-source adapters. 4. Add enrichment for structured contact pages, schema.org data, and business directories. 5. Add vertical templates for users who want ready-made queries. 6. Add rate limiting, retries, and more robust anti-block handling. ### Local run ```bash npm install npm start ``` ### Apify Store launch advice - Price on verified output quality, not unlimited scraping. - Show sample results with source URLs. - Be explicit that contacts are extracted from public pages. - Offer filtering by confidence score. - Start with one narrow use case in the Store title and description. # Actor input Schema ## `queries` (type: `array`): Business queries to search, for example 'dentist in chicago' or 'roofing company in dallas'. ## `maxResultsPerQuery` (type: `integer`): Maximum number of search results to inspect for each query. ## `crawlContactPages` (type: `boolean`): When enabled, the actor also checks likely contact/about pages for stronger verification. ## `requireWebsite` (type: `boolean`): Only keep leads that resolve to a public website. ## `requireEmailOrPhone` (type: `boolean`): Only keep leads that expose at least one direct contact signal. ## `minimumConfidenceScore` (type: `integer`): Filter out weak matches below this threshold. ## `includeSocialLinks` (type: `boolean`): Extract public social profile links from business websites. ## `proxyConfiguration` (type: `object`): Select proxies to be used by the Actor. ## Actor input object example ```json { "queries": [ "dentist in chicago", "roofing company in dallas" ], "maxResultsPerQuery": 20, "crawlContactPages": true, "requireWebsite": true, "requireEmailOrPhone": true, "minimumConfidenceScore": 60, "includeSocialLinks": 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 = { "queries": [ "dentist in chicago", "roofing company in dallas" ] }; // Run the Actor and wait for it to finish const run = await client.actor("kid1141/lead-gen-api").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 = { "queries": [ "dentist in chicago", "roofing company in dallas", ] } # Run the Actor and wait for it to finish run = client.actor("kid1141/lead-gen-api").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 '{ "queries": [ "dentist in chicago", "roofing company in dallas" ] }' | apify call kid1141/lead-gen-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kid1141/lead-gen-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "B2B-lead-generator", "description": "🔍 Local Business Lead Generator\nExtract verified business leads — emails, phones, and addresses — from any niche and location. Combines DuckDuckGo search with intelligent website crawling, contact page detection, and directory site extraction to deliver clean, scored leads ready for outreach.", "version": "0.0", "x-build-id": "zQcos5WLHIUMlgs0a" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kid1141~lead-gen-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kid1141-lead-gen-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kid1141~lead-gen-api/runs": { "post": { "operationId": "runs-sync-kid1141-lead-gen-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kid1141~lead-gen-api/run-sync": { "post": { "operationId": "run-sync-kid1141-lead-gen-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Lead Search Queries", "type": "array", "description": "Business queries to search, for example 'dentist in chicago' or 'roofing company in dallas'.", "items": { "type": "string" } }, "maxResultsPerQuery": { "title": "Max Results Per Query", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of search results to inspect for each query.", "default": 20 }, "crawlContactPages": { "title": "Crawl Contact/About Pages", "type": "boolean", "description": "When enabled, the actor also checks likely contact/about pages for stronger verification.", "default": true }, "requireWebsite": { "title": "Require Website", "type": "boolean", "description": "Only keep leads that resolve to a public website.", "default": true }, "requireEmailOrPhone": { "title": "Require Email Or Phone", "type": "boolean", "description": "Only keep leads that expose at least one direct contact signal.", "default": true }, "minimumConfidenceScore": { "title": "Minimum Confidence Score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Filter out weak matches below this threshold.", "default": 60 }, "includeSocialLinks": { "title": "Include Social Links", "type": "boolean", "description": "Extract public social profile links from business websites.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by the Actor." } } }, "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 } } } } } } } } } } ```