# Local Business Lead Qualifier (`knotted_tussock/local-business-lead-qualifier`) Actor Enrich and score local business leads for agencies and B2B sales teams using website, contact, reviews, booking, and outreach-opportunity signals. - **URL**: https://apify.com/knotted\_tussock/local-business-lead-qualifier.md - **Developed by:** [Ralph T](https://apify.com/knotted_tussock) (community) - **Categories:** Lead generation, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 Business Lead Qualifier Turn raw local business records into ranked agency/sales prospects. ### Best for - web design, local SEO, reputation, ads, and booking-system agencies - B2B sales teams that already source Google Maps/directory leads - lead-gen operators who need a scoring/enrichment layer instead of another raw scraper ### What it does The Actor accepts business records from JSON input or an Apify dataset, optionally fetches each business website, and outputs: - lead score and priority - contact completeness - website/contact/booking/review opportunity signals - recommended pitch angles - normalized website, phone, email, location, category, rating, and review count It does not log into sites or bypass protections. Pair it with an existing Maps/directory scraper for sourcing, then use this Actor to prioritize the leads worth contacting. ### Example input ```json { "businessRecords": [ {"name":"Acme Dental","website":"https://example.com/","category":"dentist","city":"Austin","rating":3.8,"reviewCount":14} ], "targetServices": ["website redesign", "local SEO", "review management", "online booking"], "fetchWebsites": true } ```` ### Output Each dataset item is one qualified business lead with `leadScore`, `priority`, `opportunitySignals`, and `pitchAngles`. ### Pricing suggestion Start free while validating demand, then move to pay-per-result pricing for qualified/enriched leads. # Actor input Schema ## `businessRecords` (type: `array`): Local business records from Google Maps, directories, CSV imports, or another Actor. Supported fields include name, website, url, phone, email, rating, reviewCount, category, address, city, state. ## `datasetId` (type: `string`): Optional Apify dataset ID to read business records from when businessRecords is empty. ## `targetServices` (type: `array`): Services you sell; used to create pitch angles. ## `fetchWebsites` (type: `boolean`): Fetch and analyze each business website when available. ## `maxRecords` (type: `integer`): Maximum input records to process. ## `requestTimeoutSecs` (type: `integer`): Maximum time to wait for each website fetch before marking it as timed out. ## Actor input object example ```json { "businessRecords": [ { "name": "Example Dental", "website": "https://example.com/", "category": "dentist", "city": "Austin", "state": "TX", "rating": 3.8, "reviewCount": 14 } ], "targetServices": [ "website redesign", "local SEO", "review management", "online booking", "lead generation" ], "fetchWebsites": true, "maxRecords": 100, "requestTimeoutSecs": 15 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `summary` (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 = { "businessRecords": [ { "name": "Example Dental", "website": "https://example.com/", "category": "dentist", "city": "Austin", "state": "TX", "rating": 3.8, "reviewCount": 14 } ], "targetServices": [ "website redesign", "local SEO", "review management", "online booking", "lead generation" ] }; // Run the Actor and wait for it to finish const run = await client.actor("knotted_tussock/local-business-lead-qualifier").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 = { "businessRecords": [{ "name": "Example Dental", "website": "https://example.com/", "category": "dentist", "city": "Austin", "state": "TX", "rating": 3.8, "reviewCount": 14, }], "targetServices": [ "website redesign", "local SEO", "review management", "online booking", "lead generation", ], } # Run the Actor and wait for it to finish run = client.actor("knotted_tussock/local-business-lead-qualifier").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 '{ "businessRecords": [ { "name": "Example Dental", "website": "https://example.com/", "category": "dentist", "city": "Austin", "state": "TX", "rating": 3.8, "reviewCount": 14 } ], "targetServices": [ "website redesign", "local SEO", "review management", "online booking", "lead generation" ] }' | apify call knotted_tussock/local-business-lead-qualifier --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotted_tussock/local-business-lead-qualifier", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Local Business Lead Qualifier", "description": "Enrich and score local business leads for agencies and B2B sales teams using website, contact, reviews, booking, and outreach-opportunity signals.", "version": "0.1", "x-build-id": "ZsTvu2UdoOErV0pHY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotted_tussock~local-business-lead-qualifier/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotted_tussock-local-business-lead-qualifier", "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/knotted_tussock~local-business-lead-qualifier/runs": { "post": { "operationId": "runs-sync-knotted_tussock-local-business-lead-qualifier", "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/knotted_tussock~local-business-lead-qualifier/run-sync": { "post": { "operationId": "run-sync-knotted_tussock-local-business-lead-qualifier", "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", "properties": { "businessRecords": { "title": "Business records", "type": "array", "description": "Local business records from Google Maps, directories, CSV imports, or another Actor. Supported fields include name, website, url, phone, email, rating, reviewCount, category, address, city, state." }, "datasetId": { "title": "Input dataset ID", "type": "string", "description": "Optional Apify dataset ID to read business records from when businessRecords is empty." }, "targetServices": { "title": "Services to sell", "type": "array", "description": "Services you sell; used to create pitch angles.", "items": { "type": "string" } }, "fetchWebsites": { "title": "Fetch websites", "type": "boolean", "description": "Fetch and analyze each business website when available.", "default": true }, "maxRecords": { "title": "Max records", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum input records to process.", "default": 100 }, "requestTimeoutSecs": { "title": "Website request timeout seconds", "minimum": 3, "maximum": 60, "type": "integer", "description": "Maximum time to wait for each website fetch before marking it as timed out.", "default": 15 } } }, "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 } } } } } } } } } } ```