# Local Service Lead Gap Finder (`glowing_glove/local-service-lead-gap-finder`) Actor Find agency sales opportunities on local service websites by scoring booking gaps, review gaps, local SEO gaps, trust signals, and conversion paths. - **URL**: https://apify.com/glowing\_glove/local-service-lead-gap-finder.md - **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (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 $20.00 / 1,000 qualified leads This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Local Service Lead Gap Finder Find agency sales opportunities on local service websites by scoring booking gaps, review gaps, local SEO gaps, trust signals, and conversion paths. This actor is built for buyers who want useful signals, not bloated raw HTML dumps. It returns compact rows that are easy to scan in Apify, export to CSV, send into a CRM, or monitor on a schedule. ### What it helps with - Find high-intent opportunities faster - Monitor public market, website, product, or reputation signals - Turn messy public pages into clean business-ready rows - Give agencies, ecommerce teams, sales teams, and operators a quick action list ### Input Add values in `businessUrls`. You can start with a small list, then increase concurrency and item limits for larger monitoring runs. Proxy support is available for websites that block cloud traffic. ### Output Each target creates one focused dataset row with: - target and final URL - status and HTTP status - the most important extracted signals for this actor - a score or risk/opportunity rating where useful - a short recommended next action - timestamps for monitoring workflows The actor intentionally avoids excessive fields. Rows are designed to be useful immediately after export. ### Example use cases - scheduled monitoring - competitor intelligence - lead qualification - ecommerce operations - agency audits - AI-era SEO and data exposure checks ### Pricing Recommended pricing is Pay Per Event using `qualifiedLead` at **$0.020 per qualified lead**. Charge only when a target is processed and a dataset row is delivered. # Actor input Schema ## `businessUrls` (type: `array`): Add local business website urls to analyze. Keep tests small, then scale up once the output looks right. ## `maxItems` (type: `integer`): Maximum alert/product/finding items included per target row. ## `maxPagesPerSite` (type: `integer`): Reserved page sampling limit for website-oriented modes. ## `requestTimeoutSecs` (type: `integer`): Timeout for each public HTTP request in seconds. ## `maxConcurrency` (type: `integer`): How many targets to process at the same time. ## `proxyConfiguration` (type: `object`): Use Apify Proxy if target websites block cloud traffic. ## Actor input object example ```json { "businessUrls": [ "https://www.deltadental.com", "https://www.servicemasterrestore.com" ], "maxItems": 20, "maxPagesPerSite": 3, "requestTimeoutSecs": 20, "maxConcurrency": 4, "proxyConfiguration": { "useApifyProxy": false } } ```` # Actor output Schema ## `results` (type: `string`): No description ## `summary` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "businessUrls": [ "https://www.deltadental.com", "https://www.servicemasterrestore.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("glowing_glove/local-service-lead-gap-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "businessUrls": [ "https://www.deltadental.com", "https://www.servicemasterrestore.com", ] } # Run the Actor and wait for it to finish run = client.actor("glowing_glove/local-service-lead-gap-finder").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 '{ "businessUrls": [ "https://www.deltadental.com", "https://www.servicemasterrestore.com" ] }' | apify call glowing_glove/local-service-lead-gap-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=glowing_glove/local-service-lead-gap-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Local Service Lead Gap Finder", "description": "Find agency sales opportunities on local service websites by scoring booking gaps, review gaps, local SEO gaps, trust signals, and conversion paths.", "version": "1.0", "x-build-id": "7pkY94ORJlNjaKCe6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/glowing_glove~local-service-lead-gap-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-glowing_glove-local-service-lead-gap-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/glowing_glove~local-service-lead-gap-finder/runs": { "post": { "operationId": "runs-sync-glowing_glove-local-service-lead-gap-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/glowing_glove~local-service-lead-gap-finder/run-sync": { "post": { "operationId": "run-sync-glowing_glove-local-service-lead-gap-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "businessUrls" ], "properties": { "businessUrls": { "title": "Local business website URLs", "type": "array", "description": "Add local business website urls to analyze. Keep tests small, then scale up once the output looks right.", "items": { "type": "string" } }, "maxItems": { "title": "Max items per target", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum alert/product/finding items included per target row.", "default": 20 }, "maxPagesPerSite": { "title": "Max pages per site", "minimum": 1, "maximum": 8, "type": "integer", "description": "Reserved page sampling limit for website-oriented modes.", "default": 3 }, "requestTimeoutSecs": { "title": "Request timeout", "minimum": 5, "maximum": 90, "type": "integer", "description": "Timeout for each public HTTP request in seconds.", "default": 20 }, "maxConcurrency": { "title": "Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many targets to process at the same time.", "default": 4 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Proxy if target websites block cloud traffic.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```