# Aleo Company Scraper - Low-costπŸ’²πŸ”₯ πŸ‡΅πŸ‡±πŸ’ (`delectable_incubator/aleo-company-scraper---low-cost`) Actor Scrape company data from Aleo πŸ’πŸ‡΅πŸ‡± with a powerful Poland business scraper. Extract verified profiles, registry IDs (NIP, KRS, REGON), categories, ratings, and company details. Ideal for B2B lead generation, CRM enrichment, and market research with structured datasets at scale πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/aleo-company-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Integrations, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

Aleo Company Search Scraper - PrimeScrape

--- ### Aleo Company Search Scraper πŸ”πŸ’πŸ“Š The Aleo Company Search Scraper is a fast, reliable, and scalable automation tool designed to extract structured company and business data directly from Aleo search results. It transforms raw company listings into clean, structured datasets ready for lead generation, business intelligence, market research, and data enrichment. --- ### Aleo Company Search Scraper πŸ’πŸ“ŠπŸŒ This scraper automatically extracts structured company data from Aleo using search keywords. Ideal for analysts, founders, marketers, and data professionals looking to discover and analyze companies. --- ### 🎯 What This Scraper Does Simply provide a keyword, and the scraper will automatically collect structured company data. βœ… Extracts company listings from Aleo search results βœ… Supports keyword-based company discovery βœ… Automatically handles pagination βœ… Respects max_items limits βœ… Cleans and structures company data βœ… Captures legal, registry, and business metadata βœ… Ready for analytics and integrations --- ### πŸ“Š Data Extracted 🧾 Company Fields | Field | Description | | ----------------- | ------------------------------ | | 🏒 `companyName` | Company name | | πŸ”— `profileUrl` | Aleo company profile URL | | πŸ–Ό `logoUrl` | Company logo | | πŸ“ `address` | Registered company address | | 🧾 `taxId` | TAX ID (NIP) | | 🧾 `krs` | National Court Register number | | 🧾 `regon` | REGON statistical number | | 🏷 `categories` | Business categories | | πŸ“… `registryDate` | Registry date | | πŸš€ `launchDate` | Company launch/start date | | ⭐ `rating` | Company rating (if available) | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide a search keyword: ```` { "keyword": \["ai"], "max\_items": 70 } ``` 2️⃣ Run the Actor The scraper will: β€’ Load Aleo search results β€’ Extract company listings β€’ Handle pagination automatically β€’ Collect legal and business data β€’ Structure and clean the dataset 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keyword": \["ai"], "max\_items": 70 } ``` #### Input Fields | Field | Type | Description | | ----------- | ------- | -------------------------------------- | | `keyword` | string | Search keyword for companies | | `max_items` | integer | Maximum number of companies to extract | --- ### πŸ“€ Output Example ``` { "companyName": "Aleo Tech Sp. z o.o.", "profileUrl": "https://aleo.com/pl/firma/aleo-tech", "logoUrl": "https://aleo.com/logo.png", "address": "Warsaw, Poland", "taxId": "1234567890", "krs": "0000123456", "regon": "987654321", "categories": "Software Development, AI Solutions", "registryDate": "2019-03-12", "launchDate": "2019-04-01", "rating": "4.7" } ```` --- ### πŸ“Š Output explanation | Field | Description | | -------------- | --------------------- | | `companyName` | Company name | | `profileUrl` | Profile link | | `logoUrl` | Company logo | | `address` | Registered address | | `taxId` | TAX ID (NIP) | | `krs` | Court register number | | `regon` | Statistical ID | | `categories` | Business categories | | `registryDate` | Registry date | | `launchDate` | Company start date | | `rating` | Company rating | --- ### 🌍 Why Use This Scraper? 🏒 Lead Generation β€” Collect company names, addresses, and identifiers πŸ“Š Market Research β€” Analyze industries, categories, and ratings 🧾 Legal Data β€” Access NIP, KRS, REGON for compliance & verification πŸ“ˆ Business Intelligence β€” Discover and compare companies πŸ—‚οΈ Data Enrichment β€” Enhance CRM and company databases πŸ€– AI & Data β€” Feed structured company data into models ⚑ Scalable β€” Designed for high-volume extraction --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by Aleo. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $4.89 / 1000 results --- ### Related Actors If you're interested in other German πŸ‡©πŸ‡ͺ, Austrian πŸ‡¦πŸ‡Ή, Swiss πŸ‡¨πŸ‡­, or Dach or European πŸ‡ͺπŸ‡Ί scrapers, explore more scrapers across Europe πŸ‡©πŸ‡ͺπŸ‡ͺπŸ‡Ί (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keywords` (type: `array`): List of Aleo search keywords (e.g., ai, digital, tech). Each keyword will be scraped separately. ## `max_items` (type: `integer`): Maximum number of companies to extract per keyword ## Actor input object example ```json { "keywords": [ "ai", "digital" ], "max_items": 50 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "ai", "digital" ], "max_items": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/aleo-company-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keywords": [ "ai", "digital", ], "max_items": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/aleo-company-scraper---low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "ai", "digital" ], "max_items": 50 }' | apify call delectable_incubator/aleo-company-scraper---low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/aleo-company-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Aleo Company Scraper - Low-costπŸ’²πŸ”₯ πŸ‡΅πŸ‡±πŸ’", "description": "Scrape company data from Aleo πŸ’πŸ‡΅πŸ‡± with a powerful Poland business scraper. Extract verified profiles, registry IDs (NIP, KRS, REGON), categories, ratings, and company details. Ideal for B2B lead generation, CRM enrichment, and market research with structured datasets at scale πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "e46XKCkbLYNnpLyok" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~aleo-company-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-aleo-company-scraper---low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~aleo-company-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-aleo-company-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~aleo-company-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-aleo-company-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords", "type": "array", "description": "List of Aleo search keywords (e.g., ai, digital, tech). Each keyword will be scraped separately.", "default": [ "ai", "digital" ], "items": { "type": "string" } }, "max_items": { "title": "Maximum Companies per Keyword", "type": "integer", "description": "Maximum number of companies to extract per keyword", "default": 50 } } }, "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 } } } } } } } } } } ```