# Local Lead Intelligence (`jumpy_invoice/local-lead-intelligence`) Actor Turn local business URLs or lead records into scored outreach-ready leads with contact extraction, relevance scoring, and personalized openers. - **URL**: https://apify.com/jumpy\_invoice/local-lead-intelligence.md - **Developed by:** [Bipeng Fu](https://apify.com/jumpy_invoice) (community) - **Categories:** Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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.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 ## Local Lead Intelligence Actor Turn local business websites or lead records into outreach-ready leads. This Apify Actor analyzes public business pages and manual lead records, then returns: - public emails and phone numbers when available, - social links, - local-business signals such as quote forms, emergency service, reviews, warranty, service-area language, - fit score from `0-100`, - reasons behind the score, - recommended outreach channel, - a short personalized opener and pitch angle. ### Why People Pay Lead generation tools already sell on Apify because buyers can connect results directly to sales work. This Actor sits one step closer to revenue than a generic scraper: it does not only collect leads, it prioritizes them and prepares the first message. Good users: - local marketing agencies, - web design / SEO shops, - AI automation agencies, - appointment-setting teams, - small B2B service sellers. ### Input Provide a target niche and location, then add either `sourceUrls`, `leads`, or both. ```json { "niche": "roofing contractors", "location": "Austin, TX", "offer": "AI missed-call follow-up and review request workflows for local service businesses", "sourceUrls": ["https://example-roofing-company.com"], "leads": [ { "businessName": "Northside Roof Repair", "website": "https://northside.example", "category": "roofing", "city": "Austin", "notes": "Residential roof repair, emergency leak pages, no obvious review request automation." } ], "maxPagesPerWebsite": 2, "includeOutreachCopy": true } ```` ### Output Each dataset item looks like: ```json { "businessName": "Northside Roof Repair", "website": "https://northside.example", "category": "roofing", "city": "Austin", "email": "sales@northside.example", "phone": "(512) 555-0144", "socialLinks": ["https://facebook.com/northsideroof"], "score": 84, "fit": "high", "reasons": [ "Matches target niche terms: roofing", "Mentions target location: austin", "Has a public email/contact route" ], "outreach": { "recommendedChannel": "email", "opener": "Hi Northside Roof Repair team - ...", "pitchAngle": "Offer a simple workflow around: ...", "shortMessage": "Hi Northside Roof Repair team - ..." }, "detectedSignals": ["quote_request", "emergency_service", "reviews"] } ``` ### Pricing Plan For Apify Use pay-per-event pricing. Suggested v1 price: - free test run for small batches, - paid event per lead analyzed, - target public price around `$15-$30 / 1,000 lead analyses` after usage-cost testing. Keep `maxPagesPerWebsite` low by default so platform cost does not eat payout. ### MCP Positioning Once published on Apify, expose it through Apify MCP so users can ask an agent: > Analyze these local contractor websites and rank which ones are worth contacting first. This gives the product both marketplace discovery and MCP distribution without betting only on an unproven MCP-only marketplace. ### Local Development Install dependencies: ```bash npm install ``` Run with the sample input in `storage/key_value_stores/default/INPUT.json`: ```bash npm start ``` Run tests: ```bash npm test ``` ### Safety / Compliance Notes - Use public business pages only. - Do not bypass logins, paywalls, CAPTCHAs, or robots restrictions. - Do not claim that scraped contacts opted in. - Keep outreach compliant with the sender's local email/SMS rules. # Actor input Schema ## `niche` (type: `string`): The buyer niche or service category you are targeting. ## `location` (type: `string`): City, state, region, or country used for lead scoring and outreach copy. ## `offer` (type: `string`): What you want to sell or pitch to these leads. ## `sourceUrls` (type: `array`): Public business websites to analyze. The Actor extracts contact details and signals from each URL. ## `leads` (type: `array`): Optional lead records from a CSV, spreadsheet, CRM, or previous scraper. ## `maxPagesPerWebsite` (type: `integer`): How many pages to fetch per website. Keep this low for polite public-page analysis. ## `includeOutreachCopy` (type: `boolean`): Generate a short personalized opener and recommended pitch angle for each lead. ## Actor input object example ```json { "niche": "roofing contractors", "location": "Austin, TX", "offer": "AI missed-call follow-up and review request workflows for local service businesses", "sourceUrls": [ "https://example-roofing-company.com", "https://example-plumbing-company.com" ], "leads": [ { "businessName": "Northside Roof Repair", "website": "https://northside.example", "category": "roofing", "city": "Austin", "notes": "Residential roof repair, emergency leak pages, no obvious review request automation." } ], "maxPagesPerWebsite": 2, "includeOutreachCopy": 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 = { "niche": "roofing contractors", "location": "Austin, TX", "offer": "AI missed-call follow-up and review request workflows for local service businesses", "sourceUrls": [ "https://example-roofing-company.com", "https://example-plumbing-company.com" ], "leads": [ { "businessName": "Northside Roof Repair", "website": "https://northside.example", "category": "roofing", "city": "Austin", "notes": "Residential roof repair, emergency leak pages, no obvious review request automation." } ] }; // Run the Actor and wait for it to finish const run = await client.actor("jumpy_invoice/local-lead-intelligence").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 = { "niche": "roofing contractors", "location": "Austin, TX", "offer": "AI missed-call follow-up and review request workflows for local service businesses", "sourceUrls": [ "https://example-roofing-company.com", "https://example-plumbing-company.com", ], "leads": [{ "businessName": "Northside Roof Repair", "website": "https://northside.example", "category": "roofing", "city": "Austin", "notes": "Residential roof repair, emergency leak pages, no obvious review request automation.", }], } # Run the Actor and wait for it to finish run = client.actor("jumpy_invoice/local-lead-intelligence").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 '{ "niche": "roofing contractors", "location": "Austin, TX", "offer": "AI missed-call follow-up and review request workflows for local service businesses", "sourceUrls": [ "https://example-roofing-company.com", "https://example-plumbing-company.com" ], "leads": [ { "businessName": "Northside Roof Repair", "website": "https://northside.example", "category": "roofing", "city": "Austin", "notes": "Residential roof repair, emergency leak pages, no obvious review request automation." } ] }' | apify call jumpy_invoice/local-lead-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jumpy_invoice/local-lead-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Local Lead Intelligence", "description": "Turn local business URLs or lead records into scored outreach-ready leads with contact extraction, relevance scoring, and personalized openers.", "version": "0.1", "x-build-id": "lWoRZnRVN75NDULnQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jumpy_invoice~local-lead-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jumpy_invoice-local-lead-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jumpy_invoice~local-lead-intelligence/runs": { "post": { "operationId": "runs-sync-jumpy_invoice-local-lead-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jumpy_invoice~local-lead-intelligence/run-sync": { "post": { "operationId": "run-sync-jumpy_invoice-local-lead-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "niche", "location" ], "properties": { "niche": { "title": "Target niche", "type": "string", "description": "The buyer niche or service category you are targeting." }, "location": { "title": "Location", "type": "string", "description": "City, state, region, or country used for lead scoring and outreach copy." }, "offer": { "title": "Your offer", "type": "string", "description": "What you want to sell or pitch to these leads." }, "sourceUrls": { "title": "Business website URLs", "type": "array", "description": "Public business websites to analyze. The Actor extracts contact details and signals from each URL.", "items": { "type": "string" } }, "leads": { "title": "Manual lead records", "type": "array", "description": "Optional lead records from a CSV, spreadsheet, CRM, or previous scraper.", "items": { "type": "object" } }, "maxPagesPerWebsite": { "title": "Max pages per website", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many pages to fetch per website. Keep this low for polite public-page analysis.", "default": 2 }, "includeOutreachCopy": { "title": "Include outreach copy", "type": "boolean", "description": "Generate a short personalized opener and recommended pitch angle for each lead.", "default": true } } }, "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 } } } } } } } } } } ```