# $1/2,000 Leads Apollo Scraper Replacement B2B B2C Leads (`disarming_screw-owner/1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads`) Actor $0.50/1k leads โ€” 2ร— cheaper than every Apollo alternative. 800M+ verified contacts: work email, mobile, LinkedIn, company data. Owned database, not scraped. Sub-200ms. No charge for misses. Free trial included. - **URL**: https://apify.com/disarming\_screw-owner/1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads.md - **Developed by:** [Agentic Data](https://apify.com/disarming_screw-owner) (community) - **Categories:** Lead generation, MCP servers, Integrations - **Stats:** 3 total users, 3 monthly users, 58.8% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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.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 ## ๐Ÿ’Ž AgenticData Lead Search The cheapest, fastest B2B lead search on Apify. **$0.50 per 1,000 contacts** โ€” half the price of every Apollo alternative here. ### ๐Ÿš€ Why this is different | | AgenticData | Competitors | |---|---|---| | Price per 1k | **$0.50** | $1.00โ€“$1.50 | | Database size | **800M+ records** | 250โ€“300M | | Latency | **<200ms** | Minutes (scraping) | | Misses charged | **No** | Sometimes | | Reliability | **API-backed** | Scrape-dependent | We don't scrape Apollo, LinkedIn, or ZoomInfo. We own our database โ€” 800M+ verified people and company records. That's why we're fast, cheap, and don't go down when LinkedIn changes its layout. ### ๐Ÿ’ต Pricing | Plan | Cost | Leads | |---|---|---| | Pay per record | **$0.50 / 1k** | Unlimited runs | | Monthly unlimited | **$29/month** | 500K/month ยท 50K/run | Free trial: 100 leads included with any Apify free plan. ### ๐ŸŽฏ What you get per lead - โœ… Work email - โœ… Personal email - โœ… Mobile phone - โœ… LinkedIn URL - โœ… Job title, seniority, department - โœ… Company: domain, size, industry, revenue, location ### ๐Ÿ” Filters Person: job title (include/exclude), seniority, department, country, state, city Company: domain, industry, size, HQ country Quality: must have email, must have phone ### ๐Ÿ“Œ Quick start 1. Set your filters (start broad โ€” you can always narrow) 2. Click **Start** 3. Download results from the **Dataset** tab No API key. No signup. Pay only for leads returned via Apify. ### ๐Ÿ“‹ Example: US SaaS VP Sales ```json { "jobTitles": ["VP of Sales", "Head of Sales"], "seniority": ["vp", "director"], "personCountry": ["United States"], "companyIndustry": ["computer software", "saas"], "companySize": ["51-200", "201-500"], "includeEmails": true, "emailStatus": "verified", "maxResults": 5000 } ```` ### โš ๏ธ Compliance Use for B2B prospecting only. Comply with GDPR, CCPA, and CAN-SPAM. ### ๐Ÿค Support support@springbolt.com # Actor input Schema ## `maxResults` (type: `integer`): How many leads to export this run. ## `firstName` (type: `string`): Optional. ## `lastName` (type: `string`): Optional. ## `jobTitles` (type: `array`): Person titles โ€” e.g. marketing manager, sales rep, VP Sales, CEO. ## `jobTitleExcludes` (type: `array`): Exclude titles containing these terms โ€” e.g. Intern, Assistant. ## `seniority` (type: `array`): Filter by seniority level. ## `department` (type: `array`): Filter by department or function. ## `companySize` (type: `array`): Company headcount ranges. ## `personCountry` (type: `array`): Person location โ€” country. ## `personState` (type: `array`): Person location โ€” state or region. ## `personCity` (type: `array`): Person location โ€” city. ## `personZip` (type: `array`): Person ZIP or postal code. ## `personIndustry` (type: `array`): Filter by the contact's own industry field (PDL data). ## `gender` (type: `string`): Optional gender filter. ## `incomeMin` (type: `string`): 5x5 income range lower bound, e.g. $50,000. ## `incomeMax` (type: `string`): 5x5 income range upper bound. ## `netWorthMin` (type: `string`): 5x5 net worth lower bound. ## `netWorthMax` (type: `string`): 5x5 net worth upper bound. ## `companyIndustry` (type: `array`): Include companies in these industries. ## `industryKeywords` (type: `array`): Keywords matched across company name, industry, SIC, NAICS, revenue, and location. ## `companyIndustryExclude` (type: `array`): Exclude companies in these industries. ## `sicCodes` (type: `array`): Standard Industrial Classification codes โ€” partial matches allowed, e.g. 737, 1731. ## `naicsCodes` (type: `array`): North American Industry Classification codes โ€” partial matches allowed. ## `annualRevenue` (type: `array`): Company revenue band. ## `fundingType` (type: `array`): Funding stage (stored for future API support). ## `fundingStartDate` (type: `string`): YYYY-MM-DD (coming soon). ## `fundingEndDate` (type: `string`): YYYY-MM-DD (coming soon). ## `businessModel` (type: `array`): Business model filter (coming soon). ## `companyCountry` (type: `array`): Company HQ country. ## `companyState` (type: `array`): Company HQ state or region. ## `companyCity` (type: `array`): Company HQ city. ## `companyDomain` (type: `array`): e.g. github.com โ€” without https or www. ## `technologies` (type: `array`): Technologies used by the company (coming soon). ## `emailStatus` (type: `string`): Should we filter verified leads? ## `includeEmails` (type: `boolean`): Only return contacts that have a work email. ## `includePhones` (type: `boolean`): Only return contacts that have a mobile phone. ## Actor input object example ```json { "maxResults": 1000, "jobTitles": [ "VP Sales", "Head of Growth" ], "personCountry": [ "United States" ], "companyIndustry": [ "marketing services" ], "emailStatus": "verified", "includeEmails": false, "includePhones": false } ``` # Actor output Schema ## `leads` (type: `string`): Matched contacts from AgenticData list-build search. Download as JSON, CSV, or Excel. # 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": [ "VP Sales", "Head of Growth" ], "personCountry": [ "United States" ], "companyIndustry": [ "marketing services" ] }; // Run the Actor and wait for it to finish const run = await client.actor("disarming_screw-owner/1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads").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": [ "VP Sales", "Head of Growth", ], "personCountry": ["United States"], "companyIndustry": ["marketing services"], } # Run the Actor and wait for it to finish run = client.actor("disarming_screw-owner/1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads").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": [ "VP Sales", "Head of Growth" ], "personCountry": [ "United States" ], "companyIndustry": [ "marketing services" ] }' | apify call disarming_screw-owner/1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=disarming_screw-owner/1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "$1/2,000 Leads Apollo Scraper Replacement B2B B2C Leads", "description": "$0.50/1k leads โ€” 2ร— cheaper than every Apollo alternative. 800M+ verified contacts: work email, mobile, LinkedIn, company data. Owned database, not scraped. Sub-200ms. No charge for misses. Free trial included.", "version": "2.1", "x-build-id": "Op0cecXfRO2foTztQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/disarming_screw-owner~1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-disarming_screw-owner-1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/disarming_screw-owner~1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads/runs": { "post": { "operationId": "runs-sync-disarming_screw-owner-1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads", "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/disarming_screw-owner~1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads/run-sync": { "post": { "operationId": "run-sync-disarming_screw-owner-1-2-000-leads-apollo-scraper-replacement-b2b-b2c-leads", "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": { "maxResults": { "title": "Total results โ€” can fetch 50,000 max per run", "minimum": 1, "maximum": 50000, "type": "integer", "description": "How many leads to export this run.", "default": 1000 }, "firstName": { "title": "First name", "type": "string", "description": "Optional." }, "lastName": { "title": "Last name", "type": "string", "description": "Optional." }, "jobTitles": { "title": "Search", "type": "array", "description": "Person titles โ€” e.g. marketing manager, sales rep, VP Sales, CEO.", "items": { "type": "string" } }, "jobTitleExcludes": { "title": "Exclude titles", "type": "array", "description": "Exclude titles containing these terms โ€” e.g. Intern, Assistant.", "items": { "type": "string" } }, "seniority": { "title": "Seniority", "type": "array", "description": "Filter by seniority level.", "items": { "type": "string", "enum": [ "owner", "founder", "c_suite", "c-level", "partner", "vp", "director", "manager", "senior", "entry" ], "enumTitles": [ "Owner", "Founder", "C-Suite", "C-Level", "Partner", "VP", "Director", "Manager", "Senior", "Entry" ] } }, "department": { "title": "Department / function", "type": "array", "description": "Filter by department or function.", "items": { "type": "string", "enum": [ "engineering", "sales", "marketing", "finance", "operations", "hr", "it", "legal", "product", "design", "business_development", "support", "executive" ], "enumTitles": [ "Engineering", "Sales", "Marketing", "Finance", "Operations", "HR", "IT", "Legal", "Product", "Design", "Business development", "Support", "Executive" ] } }, "companySize": { "title": "Employee size", "type": "array", "description": "Company headcount ranges.", "items": { "type": "string", "enum": [ "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+" ], "enumTitles": [ "1-10", "11-50", "51-200", "201-500", "501-1,000", "1,001-5,000", "5,001-10,000", "10,001+" ] } }, "personCountry": { "title": "Country", "type": "array", "description": "Person location โ€” country.", "items": { "type": "string" } }, "personState": { "title": "State / region", "type": "array", "description": "Person location โ€” state or region.", "items": { "type": "string" } }, "personCity": { "title": "City", "type": "array", "description": "Person location โ€” city.", "items": { "type": "string" } }, "personZip": { "title": "ZIP / postal code", "type": "array", "description": "Person ZIP or postal code.", "items": { "type": "string" } }, "personIndustry": { "title": "Person industry", "type": "array", "description": "Filter by the contact's own industry field (PDL data).", "items": { "type": "string" } }, "gender": { "title": "Gender", "type": "string", "description": "Optional gender filter." }, "incomeMin": { "title": "Minimum income range", "type": "string", "description": "5x5 income range lower bound, e.g. $50,000." }, "incomeMax": { "title": "Maximum income range", "type": "string", "description": "5x5 income range upper bound." }, "netWorthMin": { "title": "Minimum net worth", "type": "string", "description": "5x5 net worth lower bound." }, "netWorthMax": { "title": "Maximum net worth", "type": "string", "description": "5x5 net worth upper bound." }, "companyIndustry": { "title": "Industry", "type": "array", "description": "Include companies in these industries.", "items": { "type": "string" } }, "industryKeywords": { "title": "Industry keywords", "type": "array", "description": "Keywords matched across company name, industry, SIC, NAICS, revenue, and location.", "items": { "type": "string" } }, "companyIndustryExclude": { "title": "Industry โ€” exclude", "type": "array", "description": "Exclude companies in these industries.", "items": { "type": "string" } }, "sicCodes": { "title": "SIC codes", "type": "array", "description": "Standard Industrial Classification codes โ€” partial matches allowed, e.g. 737, 1731.", "items": { "type": "string" } }, "naicsCodes": { "title": "NAICS codes", "type": "array", "description": "North American Industry Classification codes โ€” partial matches allowed.", "items": { "type": "string" } }, "annualRevenue": { "title": "Revenue", "type": "array", "description": "Company revenue band.", "items": { "type": "string", "enum": [ "lt_1m", "1m_10m", "10m_50m", "50m_100m", "100m_500m", "500m_1b", "gt_1b" ], "enumTitles": [ "Less than $1M", "$1Mโ€“$10M", "$10Mโ€“$50M", "$50Mโ€“$100M", "$100Mโ€“$500M", "$500Mโ€“$1B", "More than $1B" ] } }, "fundingType": { "title": "Funding type", "type": "array", "description": "Funding stage (stored for future API support).", "items": { "type": "string", "enum": [ "seed", "angel", "series_a", "series_b", "series_c", "series_d", "series_e", "ipo", "acquired", "private_equity" ], "enumTitles": [ "Seed", "Angel", "Series A", "Series B", "Series C", "Series D", "Series E", "IPO", "Acquired", "Private equity" ] } }, "fundingStartDate": { "title": "Funding start date", "type": "string", "description": "YYYY-MM-DD (coming soon)." }, "fundingEndDate": { "title": "Funding end date", "type": "string", "description": "YYYY-MM-DD (coming soon)." }, "businessModel": { "title": "Business model", "type": "array", "description": "Business model filter (coming soon).", "items": { "type": "string", "enum": [ "b2b", "b2c", "b2g", "marketplace", "nonprofit" ], "enumTitles": [ "B2B", "B2C", "B2G", "Marketplace", "Nonprofit" ] } }, "companyCountry": { "title": "Country", "type": "array", "description": "Company HQ country.", "items": { "type": "string" } }, "companyState": { "title": "State / region", "type": "array", "description": "Company HQ state or region.", "items": { "type": "string" } }, "companyCity": { "title": "City", "type": "array", "description": "Company HQ city.", "items": { "type": "string" } }, "companyDomain": { "title": "Domain or company", "type": "array", "description": "e.g. github.com โ€” without https or www.", "items": { "type": "string" } }, "technologies": { "title": "Tech stack", "type": "array", "description": "Technologies used by the company (coming soon).", "items": { "type": "string" } }, "emailStatus": { "title": "Email status", "enum": [ "verified", "likely", "all" ], "type": "string", "description": "Should we filter verified leads?", "default": "verified" }, "includeEmails": { "title": "Include emails", "type": "boolean", "description": "Only return contacts that have a work email.", "default": false }, "includePhones": { "title": "Include phones", "type": "boolean", "description": "Only return contacts that have a mobile phone.", "default": 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 } } } } } } } } } } ```