# Antler Scraper (`michael.g/antler-scraper`) Actor Scrape data on Antler portfolio companies from the Antler directory. Export scraped data, schedule via API, and integrate with other tools or AI workflows. - **URL**: https://apify.com/michael.g/antler-scraper.md - **Developed by:** [Michael G](https://apify.com/michael.g) (community) - **Categories:** Lead generation, AI, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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. 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 ### What does Antler Scraper do? Antler Scraper allows you to extract data about companies from the [Antler portfolio directory](https://www.antler.co/portfolio): company image, company name, description, location, sector, year, and website. ### About Antler Antler is a global early-stage VC and startup generator that backs founders from day zero. Today, Antler portfolio includes over 1,100 companies across six continents, spanning stages from inception through Series C, and covering sectors such as B2B software, FinTech, ConsumerTech, and more. Because of this, the Antler portfolio is one of the best public sources for discovering **high-quality early-stage startups, regional startup ecosystems, market segments, and company websites**. ### Company data fields | Field Name | Type | Description | |----------------|----------------|---------------------------------------------| | Company Image | String (URL) | Company image URL | | Company Name | String | Company name | | Description | String | Short company description | | Location | String | Company location shown on the card | | Sector | String | Company sector shown on the card | | Year | Int | Antler year shown on the card | | Website | String (URL) | External company website URL | ### Why scrape Antler? - **Lead generation:** discover startups by geography, sector, and keyword. - **Market research:** analyze startup activity across countries and industries. - **Startup discovery:** explore Antler-backed companies in one structured dataset. - **Ecosystem mapping:** track where Antler-backed startups are being built. - **Website collection:** gather company websites for outreach or enrichment workflows. - **Finding inspiration:** browse startup ideas, positioning, and categories. ### Example Input ![Input Example](https://i.imghippo.com/files/Jjy2806BCs.png) And here's the same, just in JSON. ```json { "keyword": "AI", "locations": ["Germany", "Canada"], "sectors": ["B2B Software", "FinTech"], "years": ["2023", "2024"], "maxItems": 100 } ```` ### Output sample The results will be wrapped into a dataset which you can find in the Storage tab. Note that the output is organized in a table for viewing convenience. Here's an example of some of the output: ![Output Sample](https://i.imghippo.com/files/NHlw8004vro.png) By clicking on the green Export button, you can download the dataset in XML, CSV, Excel, HTML, or JSON. See an example of a JSON file: ```json { "company_image": "https://cdn.prod.website-files.com/68d622fc073c7e5dead1105e/695ee2aa28edf00b7ec77178_portfolio%252Fcompany%252F764b07c7-22cd-43d6-956d-3c93ddde4dc3%252F1726601702812-913_Horizontal_Color_Normal%25404x%2520Kopie.avif", "company_name": "913.ai", "description": "913.ai – Where your human team meets custom digital coworkers.", "location": "Germany", "sector": "B2B Software", "year": 2023, "website": "https://www.913.ai" } ``` ### How do I use Antler Scraper? The Antler Scraper is designed to help you easily extract company data from the web, even if you have no prior scraping experience. Follow these steps to scrape data from Antler portfolio directory: 1. **Enter your filters:** Select keyword, locations, sectors, and years in the input fields. 2. **Set the limit:** Optionally define the maximum number of companies you want to scrape. 3. **Run the Scraper:** Click "Start" and wait for the data extraction to complete. 4. Export your data in Excel, CSV, JSON, HTML, or via API. The Actor applies filters directly through Antler visible portfolio UI, including the Search field and dropdown filters for Location, Sector, and Year. ### Features - **Keyword Search:** Filter companies using Antler built-in Search field. - **Location Filtering:** Scrape companies from selected countries and regions. - **Sector Filtering:** Focus on specific startup sectors such as B2B Software, FinTech, or ConsumerTech. - **Year Filtering:** Narrow results by Antler year. - **Maximum Companies:** Limit the total number of companies returned in a run. ### How much does Antler Scraper scraping cost? This scraper uses the Pay-per-result pricing model, so your costs can be easily calculated: it will cost you **$5 to scrape 1,000 search results**, which is $0.005 per item. Apify provides you with $5 in free usage credits every month on the [Apify Free plan](https://apify.com/pricing?fpr=home), allowing you to **scrape up to 50 search results** from the Antler portfolio directory for free using those credits. For regular data extraction, consider upgrading to the [$29/month Starter plan](https://apify.com/pricing?fpr=home), which can **get you up to 5,800 search results every month.** ### Integrations and Antler Scraper Antler Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, n8n, Zapier, Apollo, Clay, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and [more](https://docs.apify.com/platform/integrations). ### Your feedback We're always working on improving the performance of our Actors. If you've got any technical feedback for Antler Scraper or simply found a bug, please create an issue on the actor's [Issues tab](https://console.apify.com/actors/PaK7ELcrTJnMbWJgT/issues) in Apify Console. # Actor input Schema ## `keyword` (type: `string`): Enter a keyword to filter companies. Leave empty to search across all companies. ## `locations` (type: `array`): Select one or more Antler locations. Leave empty to include all locations. ## `sectors` (type: `array`): Select one or more sectors. Leave empty to include all sectors. ## `years` (type: `array`): Select one or more Antler portfolio years. Leave empty to include all years. ## `maxItems` (type: `integer`): Maximum number of unique companies to return. Leave empty for no limit. ## Actor input object example ```json {} ``` # Actor output Schema ## `dataset` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("michael.g/antler-scraper").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("michael.g/antler-scraper").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 michael.g/antler-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=michael.g/antler-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Antler Scraper", "description": "Scrape data on Antler portfolio companies from the Antler directory. Export scraped data, schedule via API, and integrate with other tools or AI workflows.", "version": "0.0", "x-build-id": "Pc1d1pEhgoRR4jjQf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/michael.g~antler-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-michael.g-antler-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/michael.g~antler-scraper/runs": { "post": { "operationId": "runs-sync-michael.g-antler-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/michael.g~antler-scraper/run-sync": { "post": { "operationId": "run-sync-michael.g-antler-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "🔎 Filter by Keyword", "type": "string", "description": "Enter a keyword to filter companies. Leave empty to search across all companies." }, "locations": { "title": "🌍 Filter by Locations", "uniqueItems": true, "type": "array", "description": "Select one or more Antler locations. Leave empty to include all locations.", "items": { "type": "string", "enum": [ "Australia", "Brazil", "Canada", "Denmark", "Finland", "France", "Germany", "India", "Indonesia", "Japan", "Kenya", "Korea", "Malaysia", "Netherlands", "Nigeria", "Norway", "Saudi Arabia", "Singapore", "Sweden", "UK", "United Arab Emirates", "US", "Vietnam" ], "enumTitles": [ "🇦🇺 Australia", "🇧🇷 Brazil", "🇨🇦 Canada", "🇩🇰 Denmark", "🇫🇮 Finland", "🇫🇷 France", "🇩🇪 Germany", "🇮🇳 India", "🇮🇩 Indonesia", "🇯🇵 Japan", "🇰🇪 Kenya", "🇰🇷 Korea", "🇲🇾 Malaysia", "🇳🇱 Netherlands", "🇳🇬 Nigeria", "🇳🇴 Norway", "🇸🇦 Saudi Arabia", "🇸🇬 Singapore", "🇸🇪 Sweden", "🇬🇧 United Kingdom", "🇦🇪 United Arab Emirates", "🇺🇸 United States", "🇻🇳 Vietnam" ] } }, "sectors": { "title": "🏷️ Filter by Sectors", "uniqueItems": true, "type": "array", "description": "Select one or more sectors. Leave empty to include all sectors.", "items": { "type": "string", "enum": [ "Real Estate and PropTech", "Industrials", "Health and BioTech", "FinTech", "Energy and ClimateTech", "ConsumerTech", "B2B Software" ], "enumTitles": [ "🏗️ Real Estate and PropTech", "🏭 Industrials", "🏥 Health and BioTech", "💳 FinTech", "🌱 Energy and ClimateTech", "🛍️ ConsumerTech", "🤝 B2B Software" ] } }, "years": { "title": "📅 Filter by Years", "uniqueItems": true, "type": "array", "description": "Select one or more Antler portfolio years. Leave empty to include all years.", "items": { "type": "string", "enum": [ "2026", "2025", "2024", "2023", "2022", "2021", "2020", "2019", "2018", "2017" ], "enumTitles": [ "2026", "2025", "2024", "2023", "2022", "2021", "2020", "2019", "2018", "2017" ] } }, "maxItems": { "title": "💯 Maximum Companies", "minimum": 1, "type": "integer", "description": "Maximum number of unique companies to return. Leave empty for no limit." } } }, "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 } } } } } } } } } } ```