# AI Competitor Finder — Discover Real B2B Competitors Instantly (`soyjosian/ai-competitor-finder`) Actor A powerful alternative to manual market research and traditional scraping. Instantly generate curated lists of real competitors for any company using AI + Exa search + intelligent filtering. - **URL**: https://apify.com/soyjosian/ai-competitor-finder.md - **Developed by:** [Jose Zapata](https://apify.com/soyjosian) (community) - **Categories:** AI, Lead generation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.70 / 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 🚀 What this actor does AI Competitor Finder automatically discovers and analyzes real companies competing in the same space as your target business. It combines Exa AI search + smart filtering + OpenAI validation to return high-quality, structured competitor data, including: Company name Website Market categories (AI-generated) Business type (SaaS, Agency, Enterprise, etc.) Competition score (1–10) Reason for similarity Competitive positioning insights The output is clean, deduplicated, and ready for market research, investment analysis, or sales intelligence. ⚡ Key features Real-time competitor discovery using Exa AI search AI-powered filtering of irrelevant content (blogs, news, directories, etc.) OpenAI-based competitor validation and scoring Language-aware search (global, ES, EN support) Company size targeting (startup / SME / enterprise) Built-in caching for faster and cheaper repeated runs Deduplication and structured output formatting 🧭 Quick start (UI) Open the actor Enter the target company (e.g. “Notion”, “HubSpot”, “agentes IA”) Optionally set: 🌍 Language (global / es / en) 🏢 Company size (startup / sme / enterprise) Click Run Download structured competitor results from the Dataset tab 🧩 Input schema General competitor (string, required) — Target company or keyword to analyze (e.g. “Notion”, “AI agents”, “Shopify”) language (string, optional) — global, es, en companySize (string, optional) — startup, sme, enterprise, SaaS 📤 Output schema (what you get) Each item includes: Company name website AI Analysis market_category (array of categories) business_type (SaaS, Agency, Enterprise, Startup, etc.) score (1–10 similarity score) reason (why it is a competitor) why_similar (short explanation of overlap) 🔎 Example input { "competitor": "AI agents", "language": "en", "companySize": "startup" } 📊 Example output { "name": "PUNKU", "website": "https://www.punku.ai/es", "market_category": ["AI Agents", "Automation", "SaaS"], "business_type": "SaaS", "score": 8, "reason": "AI agent builder platform", "why_similar": "Competes in AI agent creation and deployment space" } ⚙️ How it works Exa AI searches for similar companies in the target market A lightweight filter removes irrelevant content (blogs, news, directories) Deduplication ensures unique companies only OpenAI validates, categorizes, and scores competitors Results are cached for performance and cost efficiency 💡 Best practices Use clear company names or markets (“Notion”, “CRM software”, “AI agents”) For better results, start broad and refine later Use language to localize results (ES/EN markets differ significantly) Use companySize to adjust relevance by maturity 🧯 Troubleshooting Few results? Try broader keywords (e.g. “AI automation” instead of niche tools) Irrelevant results? Use more specific competitor names Missing competitors? Try switching language to global 💵 Pricing & limits Built to be cost-efficient using Exa + OpenAI lightweight filtering Caching reduces repeated API calls and cost Designed for scalable usage in market research and lead discovery workflows ✨ Use cases Market research & competitor analysis Startup validation Investor due diligence Sales intelligence Product positioning # Actor input Schema ## `competitor` (type: `string`): Company, SaaS, startup or website to find competitors for. ## `language` (type: `string`): Preferred market language. ## `companySize` (type: `string`): Target company size. ## Actor input object example ```json { "language": "global", "companySize": "any" } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("soyjosian/ai-competitor-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 = {} # Run the Actor and wait for it to finish run = client.actor("soyjosian/ai-competitor-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 '{}' | apify call soyjosian/ai-competitor-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=soyjosian/ai-competitor-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Competitor Finder — Discover Real B2B Competitors Instantly", "description": "A powerful alternative to manual market research and traditional scraping. Instantly generate curated lists of real competitors for any company using AI + Exa search + intelligent filtering.", "version": "0.0", "x-build-id": "XVscg52vxTAa2GP3T" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/soyjosian~ai-competitor-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-soyjosian-ai-competitor-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/soyjosian~ai-competitor-finder/runs": { "post": { "operationId": "runs-sync-soyjosian-ai-competitor-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/soyjosian~ai-competitor-finder/run-sync": { "post": { "operationId": "run-sync-soyjosian-ai-competitor-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "competitor" ], "properties": { "competitor": { "title": "Competitor", "type": "string", "description": "Company, SaaS, startup or website to find competitors for." }, "language": { "title": "Language", "enum": [ "global", "en", "es" ], "type": "string", "description": "Preferred market language.", "default": "global" }, "companySize": { "title": "Company Size", "enum": [ "any", "startup", "sme", "enterprise" ], "type": "string", "description": "Target company size.", "default": "any" } } }, "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 } } } } } } } } } } ```