# Y Combinator Startups, Founders & Hiring Intelligence (`primesieve/ycombinator-startups-intel`) Actor

Scrapes and enriches Y Combinator directory startups, active batches, verified founder LinkedIn/Twitter profiles, company tags, and open hiring positions. Fast, zero-proxy required.

- **URL**: https://apify.com/primesieve/ycombinator-startups-intel.md
- **Developed by:** [Prime Sieve](https://apify.com/primesieve) (community)
- **Categories:** Lead generation, Business, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Y Combinator Startups, Founders & Hiring Intelligence Scraper 🚀

Extract real-time, comprehensive intelligence on **Y Combinator startups, founders, batches, and live hiring signals**.

Built for **VCs, founders, recruiters, B2B sales teams, and solo tech builders** looking for verified leads and market trends directly from the world's most prestigious startup accelerator.

***

### 💡 What Makes This Scraper Different?

- **Zero Proxy Overhead:** 100% clean direct fetches with zero proxy fees or extra billing charges.
- **Deep Enrichment:** Doesn't just scrape names; extracts **verified founder LinkedIn & Twitter URLs**, bios, and **live job postings** with salary & equity benchmarks.
- **Batch & Industry Filtering:** Filter by YC batch (`W26`, `F26`, `S25`, `W25`, etc.) or specific industries (`AI`, `Fintech`, `Security`, `B2B`).
- **Built-in Market Intelligence:** Automatically calculates top batch distributions, leading startup sectors, and ecosystem growth metrics.

***

### 📊 Output Data Schema

Each company item contains:

```json
{
  "_type": "startup",
  "id": 34893,
  "name": "Agent 37",
  "slug": "agent-37",
  "batch": "Fall 2026",
  "status": "Active",
  "website": "https://www.agent37.com/cloud",
  "teamSize": 5,
  "oneLiner": "Persistent sandboxes for agents like hermes, openclaw, claude code",
  "longDescription": "Ready to Use Instantly: Skip the complex server setup...",
  "industries": ["B2B", "Developer Tools", "AI"],
  "tags": ["AI Agents", "Cloud Infrastructure"],
  "locations": ["San Francisco, CA", "Remote"],
  "founders": [
    {
      "name": "Vishnu Krishnaprasad",
      "title": "Founder/CEO",
      "bio": "Previously Senior Software Engineer at Amazon...",
      "linkedin": "https://www.linkedin.com/in/vishnukrishnaprasad/",
      "twitter": "https://x.com/an_engineer_log"
    }
  ],
  "jobsCount": 2,
  "jobs": [
    {
      "id": 12345,
      "title": "Senior AI Systems Engineer",
      "type": "Full-time",
      "location": "San Francisco / Remote",
      "salaryMin": 180000,
      "salaryMax": 240000,
      "salaryCurrency": "USD",
      "equity": "0.5% - 1.5%",
      "url": "https://www.ycombinator.com/companies/agent-37/jobs/12345"
    }
  ],
  "ycUrl": "https://www.ycombinator.com/companies/agent-37",
  "scrapedAt": "2026-09-16T12:00:00.000Z"
}
```

***

### ⚙️ Input Configuration

| Parameter | Type | Default | Description |
|---|---|---|---|
| `query` | String | `""` | Search keyword (e.g. `"AI"`, `"agents"`, `"developer tools"`, `"fintech"`). |
| `batch` | String | `""` | Filter by YC batch code (e.g. `W26`, `F26`, `S25`, `W25`, `S24`). |
| `industry` | String | `""` | Filter by sector (e.g. `B2B`, `Healthcare`, `Fintech`, `Security`). |
| `enrichFoundersAndJobs` | Boolean | `true` | Extract verified founder social profiles, bios, and live job openings. |
| `maxResults` | Integer | `50` | Number of startup records to extract. |
| `includeAnalytics` | Boolean | `true` | Appends a market overview summary to the dataset. |

***

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*Part of the Prime Sieve intelligence ecosystem.*

# Actor input Schema

## `query` (type: `string`):

Keyword search across company names, one-liners, and descriptions (e.g. 'AI', 'agents', 'fintech', 'developer tools').

## `batch` (type: `string`):

Filter by specific batch code (e.g. 'W26', 'F26', 'S25', 'W25', 'S24', 'W24'). Leave blank for all batches.

## `industry` (type: `string`):

Filter by industry tag (e.g. 'B2B', 'Healthcare', 'Fintech', 'Consumer', 'Security', 'Engineering, Product and Design').

## `enrichFoundersAndJobs` (type: `boolean`):

Fetch deep company pages to extract verified founder names, LinkedIn/Twitter profiles, bios, and live job openings.

## `maxResults` (type: `integer`):

Maximum number of startup records to collect (default: 50).

## `includeAnalytics` (type: `boolean`):

Outputs an aggregated market intelligence summary record with batch distribution, top industries, and founder stats.

## Actor input object example

```json
{
  "enrichFoundersAndJobs": true,
  "maxResults": 50,
  "includeAnalytics": true
}
```

# Actor output Schema

## `_type` (type: `string`):

startup or market\_summary

## `name` (type: `string`):

Company name

## `batch` (type: `string`):

Batch code

## `status` (type: `string`):

Operating status

## `website` (type: `string`):

Company website

## `teamSize` (type: `string`):

Verified team size

## `oneLiner` (type: `string`):

Short pitch

## `industries` (type: `string`):

Industry tags

## `tags` (type: `string`):

Sub-sector tags

## `locations` (type: `string`):

Locations

## `founders` (type: `string`):

List of founders

## `jobsCount` (type: `string`):

Open jobs count

## `ycUrl` (type: `string`):

Directory URL

## `scrapedAt` (type: `string`):

Scrape timestamp

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "",
    "batch": "",
    "industry": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("primesieve/ycombinator-startups-intel").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "",
    "batch": "",
    "industry": "",
}

# Run the Actor and wait for it to finish
run = client.actor("primesieve/ycombinator-startups-intel").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "",
  "batch": "",
  "industry": ""
}' |
apify call primesieve/ycombinator-startups-intel --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,primesieve/ycombinator-startups-intel"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/YfYlh7QV5D7TK8asp/builds/zJqAfuZwF2wWahOPX/openapi.json