# Leads Finder (`devon_gtme/leads-finder`) Actor Affordable alternative to Apollo, ZoomInfo and Sales Navigator. Every lead is verified for a real, working business email before it counts - no email, no charge. Mobiles ride along free when available. Deduplicated and location-verified. Filter by title, seniority, function, industry and size. - **URL**: https://apify.com/devon\_gtme/leads-finder.md - **Developed by:** [Devon Kellar](https://apify.com/devon_gtme) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 80.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Leads Finder โ€” $1.5/1k B2B Leads. No Email? No Charge. Affordable alternative to **Apollo, ZoomInfo, Lusha & LinkedIn Sales Navigator**. Find verified B2B contacts by job title, seniority, function, industry, company size, and location โ€” and every lead you get back has a real, checked work email. ### The difference Most tools in this category count a "lead" the moment a name and company match your filters, whether or not there's a usable way to contact them. This one doesn't: - โœ… **No email, no lead.** Every candidate is checked for a real work email before it's counted or charged. We don't pad your results with empty rows. - ๐Ÿ“ž **Mobile number included free** on every lead when available (~20% of leads) โ€” not gated behind a separate paid plan. - ๐ŸŽฏ **Location strictly verified.** Filter by country/city and get leads who are actually *there* โ€” not just leads whose employer happens to be headquartered there. (Most tools in this space filter on company HQ only, which lets remote/international employees slip through โ€” we re-check each person's real location before returning them.) - ๐Ÿงน **Deduplicated** on both LinkedIn profile and name+company โ€” no repeat rows. ### What you get | Field | Example | |---|---| | `fullName` | Sasha Rochester | | `jobTitle` | Sales Director | | `email` | sasha.rochester@triarecruitment.com | | `mobileNumber` | +447540345144 (when available) | | `linkedin` | Full LinkedIn profile URL | | `city` / `country` | Bristol, GB โ€” verified, not just the company's HQ | | `companyName` / `companyLinkedin` / `companyDomain` | Tria / linkedin.com/company/tria-recruitment / triarecruitment.com | ### Filters - **Job title** โ€” include/exclude specific titles - **Seniority** โ€” C-Team, VP, Director, Manager, Staff - **Function** โ€” Marketing, Sales, Engineering, Finance, HR, Operations, and more - **Location** โ€” country + city, strictly verified against the lead's real location - **Industry**, **company size**, **keywords** Up to **30,000 leads per run**. ### Typical usage - **Targeted outbound list:** filter by title + seniority + location + industry for a precise campaign list - **Territory build-out:** set location to your target country/city and company size to your ICP band - **Scale a broad search:** leave filters loose and raise Max Leads โ€” the actor keeps searching until it hits your target or genuinely runs out of matches (it'll tell you which, rather than silently returning less) ### A note on volume vs. precision Because every lead is location-verified and email-required, a very narrow search (single city + single job title + small company size) may return fewer leads than requested โ€” the actor logs exactly how many it found and why (location mismatches, no email, etc.) rather than loosening your filters silently to hit a number. --- **Need something more custom?** Ongoing lead pipelines synced to your CRM, waterfall enrichment across multiple data sources, or a fully managed outbound data pipeline โ€” message me via my Apify profile and I'll build it. # Actor input Schema ## `jobTitles` (type: `array`): Job titles to match, e.g. 'Marketing Director', 'Head of Sales', 'VP Engineering'. ## `jobTitlesExclude` (type: `array`): Job titles to exclude from results. ## `seniorityLevels` (type: `array`): Filter by seniority. ## `jobFunctions` (type: `array`): Filter by department/function. ## `locationCountries` (type: `array`): Country codes to match, e.g. 'GB', 'US', 'DE'. Strictly enforced against the lead's actual location โ€” not just where their company is headquartered. ## `locationCities` (type: `array`): City names to match, e.g. 'London', 'Manchester'. Leave empty to match any city within the selected countries. ## `companyIndustries` (type: `array`): Industries to include, e.g. 'IT Services', 'Financial Services', 'Construction'. ## `companyEmployeeRanges` (type: `array`): Employee count brackets. ## `companyKeywords` (type: `array`): Match against company description/specialties, e.g. 'SaaS', 'e-commerce', 'manufacturing'. ## `maxResults` (type: `integer`): Maximum verified leads to return. Every lead counted has a real work email โ€” searches are broadened automatically to hit this target where possible. ## Actor input object example ```json { "jobTitles": [], "jobTitlesExclude": [], "seniorityLevels": [], "jobFunctions": [], "locationCountries": [], "locationCities": [], "companyIndustries": [], "companyEmployeeRanges": [], "companyKeywords": [], "maxResults": 100 } ```` # 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 = { "jobTitles": [], "jobTitlesExclude": [], "seniorityLevels": [], "jobFunctions": [], "locationCountries": [], "locationCities": [], "companyIndustries": [], "companyEmployeeRanges": [], "companyKeywords": [], "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("devon_gtme/leads-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "jobTitles": [], "jobTitlesExclude": [], "seniorityLevels": [], "jobFunctions": [], "locationCountries": [], "locationCities": [], "companyIndustries": [], "companyEmployeeRanges": [], "companyKeywords": [], "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("devon_gtme/leads-finder").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "jobTitles": [], "jobTitlesExclude": [], "seniorityLevels": [], "jobFunctions": [], "locationCountries": [], "locationCities": [], "companyIndustries": [], "companyEmployeeRanges": [], "companyKeywords": [], "maxResults": 100 }' | apify call devon_gtme/leads-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devon_gtme/leads-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Leads Finder", "description": "Affordable alternative to Apollo, ZoomInfo and Sales Navigator. Every lead is verified for a real, working business email before it counts - no email, no charge. Mobiles ride along free when available. Deduplicated and location-verified. Filter by title, seniority, function, industry and size.", "version": "0.1", "x-build-id": "6E4v7oGU3NMQiauoE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devon_gtme~leads-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devon_gtme-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devon_gtme~leads-finder/runs": { "post": { "operationId": "runs-sync-devon_gtme-leads-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devon_gtme~leads-finder/run-sync": { "post": { "operationId": "run-sync-devon_gtme-leads-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "jobTitles": { "title": "Job Titles (include)", "type": "array", "description": "Job titles to match, e.g. 'Marketing Director', 'Head of Sales', 'VP Engineering'.", "items": { "type": "string" } }, "jobTitlesExclude": { "title": "Job Titles (exclude)", "type": "array", "description": "Job titles to exclude from results.", "items": { "type": "string" } }, "seniorityLevels": { "title": "Seniority Level", "type": "array", "description": "Filter by seniority.", "items": { "type": "string", "enum": [ "C-Team", "VP", "Director", "Manager", "Staff", "Other" ] } }, "jobFunctions": { "title": "Job Function", "type": "array", "description": "Filter by department/function.", "items": { "type": "string", "enum": [ "Advertising & Marketing", "Art, Culture and Creative Professionals", "Construction", "Customer/Client Service", "Education", "Engineering", "Finance & Accounting", "General Business & Management", "Healthcare & Human Services", "Human Resources", "Information Technology", "Legal", "Manufacturing & Production", "Operations", "Other", "Public Administration & Safety", "Purchasing", "Research & Development", "Sales & Business Development", "Science", "Supply Chain & Logistics", "Writing/Editing" ] } }, "locationCountries": { "title": "Countries (ISO 2-letter)", "type": "array", "description": "Country codes to match, e.g. 'GB', 'US', 'DE'. Strictly enforced against the lead's actual location โ€” not just where their company is headquartered.", "items": { "type": "string" } }, "locationCities": { "title": "Cities", "type": "array", "description": "City names to match, e.g. 'London', 'Manchester'. Leave empty to match any city within the selected countries.", "items": { "type": "string" } }, "companyIndustries": { "title": "Company Industries", "type": "array", "description": "Industries to include, e.g. 'IT Services', 'Financial Services', 'Construction'.", "items": { "type": "string" } }, "companyEmployeeRanges": { "title": "Company Size", "type": "array", "description": "Employee count brackets.", "items": { "type": "string", "enum": [ "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+" ] } }, "companyKeywords": { "title": "Company Keywords", "type": "array", "description": "Match against company description/specialties, e.g. 'SaaS', 'e-commerce', 'manufacturing'.", "items": { "type": "string" } }, "maxResults": { "title": "Max Leads", "minimum": 1, "maximum": 30000, "type": "integer", "description": "Maximum verified leads to return. Every lead counted has a real work email โ€” searches are broadened automatically to hit this target where possible.", "default": 100 } } }, "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 } } } } } } } } } } ```