# Professional Services Opportunity Finder (`lonely_m/professional-services-opportunity-finder`) Actor Find lawyers, accountants, tax preparers, consultants, and other professional-service firms with local SEO and website opportunities. - **URL**: https://apify.com/lonely\_m/professional-services-opportunity-finder.md - **Developed by:** [Lonely](https://apify.com/lonely_m) (community) - **Categories:** Lead generation, Marketing, SEO tools - **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 ## Professional Services Opportunity Finder Find local professional-service firms — lawyers, accountants, tax preparers, consultants, insurance agents, and similar businesses — with website, SEO, booking, or reputation opportunities. This Actor searches Google Maps for professional-service categories, evaluates online presence and review signals, and exports prioritized leads with outreach angles for agencies and consultants. ### Best for - Local SEO agencies - Web design agencies - Professional-services marketing consultants - Reputation management teams - CRM / appointment booking consultants - Lead generation and outbound sales teams ### What problem does it solve? Professional-service firms can have high client value, but many still have weak online presence, poor conversion paths, outdated websites, or reputation gaps. This Actor helps find prospects where the pitch can be tied to revenue: > Better local visibility, trust signals, and conversion flow can turn searchers into consultations. ### Signals this Actor looks for - Google Maps review volume and rating context - Weak or missing website presence - Missing contact/booking/consultation cues - Rating/reputation opportunities - Phone and website context for manual outreach - Combined opportunity scoring ### Example input ```json { "location": "Chicago, IL", "businessCategory": "tax preparer", "maxResults": 10, "checkWebsiteHealth": true, "includeWebsiteOpportunities": true, "includeReputationOpportunities": true, "maxRating": 4.3, "minReviewCount": 10, "includeModerateRatings": true, "minOpportunityScore": 40, "proxyConfiguration": { "useApifyProxy": false } } ```` ### Output ```json { "businessName": "Example Tax Services", "website": "https://example.com", "phone": "+1 555-555-5555", "rating": 4.0, "reviewCount": 42, "websiteOpportunityScore": 60, "reputationOpportunityScore": 78, "overallOpportunityScore": 82, "leadPriority": "A", "primaryOpportunity": "local_seo", "opportunityTypes": ["local_seo", "consultation_flow", "reputation_management"], "opportunityReasons": [ "Professional-service category with high client value", "Rating suggests room for trust/reputation improvement", "Website or consultation cues may need improvement" ], "suggestedPitch": "Offer a professional-services local SEO and consultation-conversion audit." } ``` ### Recommended searches - `tax preparer` in `Chicago, IL` - `law firm` in `Austin, TX` - `accountant` in `Dallas, TX` - `insurance agency` in `Phoenix, AZ` - `financial advisor` in `Atlanta, GA` - `immigration lawyer` in `Miami, FL` - `business consultant` in `Denver, CO` ### Practical workflow 1. Start with `maxResults: 10–25`. 2. Use lower `minReviewCount` than restaurants/hotels because professional services often have fewer reviews. 3. Prioritize A/B leads with clear reputation, website, or consultation-flow gaps. 4. Pitch a high-value audit: local SEO + trust signals + consultation conversion. ### Notes and limitations - Google Maps layout and anti-automation behavior may change. - Website checks inspect the listed homepage only. - Phone numbers may be partially masked by Google. - This Actor does not contact businesses automatically. - Use exported leads in compliance with applicable laws, privacy rules, and platform terms. # Actor input Schema ## `location` (type: `string`): City, state, country, or local area to search in. ## `businessCategory` (type: `string`): Type of business to find. ## `maxResults` (type: `integer`): Maximum number of Google Maps listings to analyze. ## `checkWebsiteHealth` (type: `boolean`): Visit listed websites to check reachability, HTTPS, contact cues, and booking cues. ## `includeWebsiteOpportunities` (type: `boolean`): Score missing or weak website signals. ## `includeReputationOpportunities` (type: `boolean`): Score low/moderate ratings with meaningful review volume. ## `maxRating` (type: `number`): Maximum rating for reputation opportunities ## `minReviewCount` (type: `integer`): Minimum review count ## `includeModerateRatings` (type: `boolean`): Include moderate ratings with high volume ## `minOpportunityScore` (type: `integer`): Minimum overall opportunity score ## `proxyConfiguration` (type: `object`): Optional Apify proxy configuration. ## Actor input object example ```json { "location": "Chicago, IL", "businessCategory": "tax preparer", "maxResults": 10, "checkWebsiteHealth": true, "includeWebsiteOpportunities": true, "includeReputationOpportunities": true, "maxRating": 4.3, "minReviewCount": 10, "includeModerateRatings": true, "minOpportunityScore": 40, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "location": "Chicago, IL", "businessCategory": "tax preparer" }; // Run the Actor and wait for it to finish const run = await client.actor("lonely_m/professional-services-opportunity-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 = { "location": "Chicago, IL", "businessCategory": "tax preparer", } # Run the Actor and wait for it to finish run = client.actor("lonely_m/professional-services-opportunity-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 '{ "location": "Chicago, IL", "businessCategory": "tax preparer" }' | apify call lonely_m/professional-services-opportunity-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lonely_m/professional-services-opportunity-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Professional Services Opportunity Finder", "description": "Find lawyers, accountants, tax preparers, consultants, and other professional-service firms with local SEO and website opportunities.", "version": "0.1", "x-build-id": "FfK3avX8aLiDk5LlZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lonely_m~professional-services-opportunity-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lonely_m-professional-services-opportunity-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/lonely_m~professional-services-opportunity-finder/runs": { "post": { "operationId": "runs-sync-lonely_m-professional-services-opportunity-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/lonely_m~professional-services-opportunity-finder/run-sync": { "post": { "operationId": "run-sync-lonely_m-professional-services-opportunity-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": [ "location", "businessCategory" ], "properties": { "location": { "title": "Location", "type": "string", "description": "City, state, country, or local area to search in." }, "businessCategory": { "title": "Business category", "type": "string", "description": "Type of business to find." }, "maxResults": { "title": "Maximum businesses", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of Google Maps listings to analyze.", "default": 10 }, "checkWebsiteHealth": { "title": "Check website health", "type": "boolean", "description": "Visit listed websites to check reachability, HTTPS, contact cues, and booking cues.", "default": true }, "includeWebsiteOpportunities": { "title": "Include website opportunities", "type": "boolean", "description": "Score missing or weak website signals.", "default": true }, "includeReputationOpportunities": { "title": "Include reputation opportunities", "type": "boolean", "description": "Score low/moderate ratings with meaningful review volume.", "default": true }, "maxRating": { "title": "Maximum rating for reputation opportunities", "minimum": 1, "maximum": 5, "type": "number", "description": "Maximum rating for reputation opportunities", "default": 4.3 }, "minReviewCount": { "title": "Minimum review count", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Minimum review count", "default": 10 }, "includeModerateRatings": { "title": "Include moderate ratings with high volume", "type": "boolean", "description": "Include moderate ratings with high volume", "default": true }, "minOpportunityScore": { "title": "Minimum overall opportunity score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Minimum overall opportunity score", "default": 40 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy configuration.", "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 } } } } } } } } } } ```