# Buying Signal Lead Finder — AI-Scored B2B Leads (`inexhaustible_glass/buying-signal-leads`) Actor Find B2B leads by buying signal: companies that just got funded, took a loan, or are expanding — with an AI lead score & outreach angle. Signal-driven, well-timed leads. No API key needed. - **URL**: https://apify.com/inexhaustible\_glass/buying-signal-leads.md - **Developed by:** [Hitman studio](https://apify.com/inexhaustible_glass) (community) - **Categories:** Business, Lead generation, Developer tools - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $30.00 / 1,000 buying-signal 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 ## Buying Signal Lead Finder — Funded, Loan & Expanding Companies + AI Score In 2026, spray-and-pray outreach is dead. What wins is **signal-driven selling** — reaching a company **the moment it shows intent**. This actor finds B2B leads by **buying signal** and gives each an **AI lead score + outreach angle**, so you act on the hottest, best-timed prospects. #### Signals (all from free public data — no key, no block) - 💰 **Funded** — companies that just raised money (SEC Form D) - 🏦 **Loan** — companies that just took a secured loan (UCC filings) - 🏗️ **Expanding** — companies that just pulled a building permit #### Each lead gives you 🏢 Company · 📍 location · 🧾 what happened (the signal) · 👤 contacts · 🤖 **AI lead score (0-100)** · 💬 **AI outreach angle** · 📅 date ### Why it matters A company that just got funded / took a loan / is expanding **has budget and a reason to buy right now**. These are the warmest B2B leads — for SaaS, lenders, agencies, recruiters, services. The AI score ranks them so you start with the best. ### Input (simple) ```json { "signal": "funded", "daysBack": 30 } ```` Options: `state`, `industry`, `maxResults`, `aiScore`, `aiApiKey` (bring your own free Gemini key for AI scoring). ### AI scoring — bring any provider's key (or use the built-in) The AI lead score works out of the box. You can also **bring your own key** from any major provider — pick the provider and paste your key: **Supported:** OpenAI (GPT) · Anthropic Claude · Google Gemini · Groq · DeepSeek · Grok (xAI) · GLM (Zhipu) · OpenRouter · Mistral. #### 🔒 Is my API key safe? **Yes.** Your key is stored as an Apify **secret** — it is encrypted at rest, never written to logs, never saved in the output dataset, and never visible to anyone (including the actor owner). It is used only to call the provider you chose, then discarded. You can also leave it blank and use the built-in scoring. ### Use cases B2B sales prospecting · timed outreach · lender / MCA lead-gen · agency client-finding · recruiting funded startups · competitor & market intelligence. ### Legal Uses only public government data (SEC, state open-data UCC & permits). No login, paywall, or anti-bot bypass. *** #### Also known as / search terms buying signal leads, buying intent data, intent data provider, sales trigger events, signal-based selling, signal-driven outreach, funded companies leads, just funded startups list, recently funded companies, SEC Form D leads, UCC loan leads, business loan leads, building permit leads, expanding companies, hiring intent leads, B2B lead generation, AI lead scoring, AI sales leads, sales intelligence tool, prospecting tool, warm leads, timed outreach, lead enrichment AI, sales signals scraper, company funding tracker, MCA leads, lender leads, account intelligence, ideal customer leads, fresh B2B leads, no API key lead generation, bring your own key AI, OpenAI Claude Gemini Groq DeepSeek lead scoring. # Actor input Schema ## `signal` (type: `string`): Which buying signal to find leads by. ## `daysBack` (type: `integer`): Find signals from the last N days. ## `state` (type: `string`): 2-letter US state to filter by (funded signal). ## `industry` (type: `string`): Keyword to match the industry (funded signal), e.g. Technology. ## `maxResults` (type: `integer`): How many leads to return. ## `aiScore` (type: `boolean`): Score & rank each lead with AI and suggest an outreach angle. Works out of the box; or bring your own AI key below. ## `aiProvider` (type: `string`): Which AI provider your key below is for. Works with OpenAI, Claude, Gemini, Groq, DeepSeek, Grok (xAI), GLM, OpenRouter or Mistral. ## `aiApiKey` (type: `string`): Bring your own key from any provider above. 🔒 Your key is SECRET — encrypted by Apify, never logged, never stored in output, and never visible to anyone (not even the actor owner). Leave empty to use the built-in AI. ## Actor input object example ```json { "signal": "funded", "daysBack": 30, "state": "", "industry": "", "maxResults": 30, "aiScore": true, "aiProvider": "gemini" } ``` # 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 = { "signal": "funded", "daysBack": 30, "maxResults": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("inexhaustible_glass/buying-signal-leads").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 = { "signal": "funded", "daysBack": 30, "maxResults": 30, } # Run the Actor and wait for it to finish run = client.actor("inexhaustible_glass/buying-signal-leads").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 '{ "signal": "funded", "daysBack": 30, "maxResults": 30 }' | apify call inexhaustible_glass/buying-signal-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=inexhaustible_glass/buying-signal-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Buying Signal Lead Finder — AI-Scored B2B Leads", "description": "Find B2B leads by buying signal: companies that just got funded, took a loan, or are expanding — with an AI lead score & outreach angle. Signal-driven, well-timed leads. No API key needed.", "version": "1.0", "x-build-id": "Nrvg4pP29gdqWTSRq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/inexhaustible_glass~buying-signal-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-inexhaustible_glass-buying-signal-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/inexhaustible_glass~buying-signal-leads/runs": { "post": { "operationId": "runs-sync-inexhaustible_glass-buying-signal-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/inexhaustible_glass~buying-signal-leads/run-sync": { "post": { "operationId": "run-sync-inexhaustible_glass-buying-signal-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "signal": { "title": "Buying signal", "enum": [ "funded", "loan", "expanding" ], "type": "string", "description": "Which buying signal to find leads by.", "default": "funded" }, "daysBack": { "title": "Days to look back", "minimum": 1, "maximum": 365, "type": "integer", "description": "Find signals from the last N days.", "default": 30 }, "state": { "title": "State filter (optional)", "type": "string", "description": "2-letter US state to filter by (funded signal).", "default": "" }, "industry": { "title": "Industry filter (optional)", "type": "string", "description": "Keyword to match the industry (funded signal), e.g. Technology.", "default": "" }, "maxResults": { "title": "Max leads", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many leads to return.", "default": 50 }, "aiScore": { "title": "Add AI lead score", "type": "boolean", "description": "Score & rank each lead with AI and suggest an outreach angle. Works out of the box; or bring your own AI key below.", "default": true }, "aiProvider": { "title": "AI provider (for your own key)", "enum": [ "gemini", "openai", "claude", "groq", "deepseek", "grok", "glm", "openrouter", "mistral" ], "type": "string", "description": "Which AI provider your key below is for. Works with OpenAI, Claude, Gemini, Groq, DeepSeek, Grok (xAI), GLM, OpenRouter or Mistral.", "default": "gemini" }, "aiApiKey": { "title": "Your AI API key (optional, BYOK)", "type": "string", "description": "Bring your own key from any provider above. 🔒 Your key is SECRET — encrypted by Apify, never logged, never stored in output, and never visible to anyone (not even the actor owner). Leave empty to use the built-in AI." } } }, "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 } } } } } } } } } } ```