# GitHub Startup & Emerging Company Finder (`coolinbex/github-startup-emerging-company-finder`) Actor

Discover emerging technology companies through real public GitHub development activity.

- **URL**: https://apify.com/coolinbex/github-startup-emerging-company-finder.md
- **Developed by:** [coolinbex](https://apify.com/coolinbex) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## GitHub Startup & Emerging Company Finder

Discover emerging technology companies through real public GitHub development activity.

This Actor does not claim that an organization is legally a startup. GitHub does not reliably expose incorporation, funding, revenue, employee count, founder, or company-age data. Results use deterministic classifications such as `likely_startup`, `emerging_company`, `established_company`, `open_source_project`, `individual_or_personal`, `research_or_education`, and `unknown`, each with confidence and inspectable reasons.

### Architecture

- `src/github/discovery.ts` builds partitioned GitHub repository search queries and resolves repository owners to organizations.
- `src/github/resolver.ts` fetches organization profiles, public repositories, recent commits, releases, topics, languages, and activity windows.
- `src/enrichment/website.ts` fetches only the published homepage and extracts lightweight public company/product evidence.
- `src/analysis/scoring.ts` calculates `emergingCompanyScore` and `commercialRelevanceScore`.
- `src/analysis/classification.ts` applies deterministic classification rules.
- `src/analysis/dedupe.ts` deduplicates by GitHub organization and canonical website domain.
- `src/main.ts` orchestrates discovery, analysis, filtering, dataset output, and run summary.

### Input Example

```json
{
  "keywords": ["AI", "developer tools"],
  "technologies": ["Python", "TypeScript"],
  "createdAfter": "2024-01-01",
  "minimumRecentActivity": 10,
  "maximumOrganizations": 20,
  "includeWebsiteEnrichment": true
}
```

Use `githubToken`, `GITHUB_TOKEN`, or `APIFY_GITHUB_TOKEN` for authenticated GitHub API limits. In Apify, store tokens as secrets.

### Output

Each Dataset item represents one unique GitHub organization or confidently linked company/domain.

```json
{
  "companyName": "Example Cloud",
  "classification": "emerging_company",
  "classificationConfidence": 70,
  "classificationReasons": [
    "GitHub activity is recent enough to suggest an emerging technology organization",
    "Public website contains product signals"
  ],
  "githubOrganization": "example-cloud",
  "githubUrl": "https://github.com/example-cloud",
  "githubOrganizationCreatedAt": "2024-02-10T12:00:00Z",
  "website": "https://example.com/",
  "location": "New York, NY",
  "description": "Developer workflow platform",
  "productDetected": true,
  "productName": "Example Cloud",
  "productDescription": "A developer platform for deployment workflows.",
  "publicRepositories": 7,
  "activeRepositories": 4,
  "repositoriesCreated30d": 1,
  "repositoriesCreated90d": 3,
  "repositoriesUpdated30d": 4,
  "repositoriesUpdated90d": 5,
  "activeContributors30d": 3,
  "activeContributors90d": 6,
  "releases30d": 1,
  "releases90d": 2,
  "topLanguages": [{ "language": "TypeScript", "repositories": 4 }],
  "activityTrend": "accelerating",
  "emergingCompanyScore": 78,
  "commercialRelevanceScore": 82,
  "contactPage": "https://example.com/contact",
  "careersPage": "https://example.com/careers",
  "pricingPage": "https://example.com/pricing",
  "publicEmail": "hello@example.com",
  "explicitFoundedYear": null,
  "explicitFundingInformation": null,
  "fundingSource": null,
  "discoveredAt": "2026-09-11T00:00:00.000Z"
}
```

### Discovery Notes

GitHub search can cap repository search results at 1,000 results per query. The Actor partitions discovery by repository creation date and language, logs partitions that still exceed the cap, and records limitations in the `OUTPUT` key-value record.

Dates in input apply to repository discovery when technically meaningful. They are not used as proof of company age or incorporation date.

### Known Limitations

- GitHub activity is an engineering signal, not legal or financial proof.
- Recent contributor counts are sampled from recent commits across capped active repositories.
- Website enrichment is intentionally shallow and may miss facts hidden behind JavaScript, PDFs, or blocked pages.
- Funding information is returned only when explicitly stated on the organization website text that was fetched.
- Similar organization names are not merged unless they share a canonical website domain.

### Local Commands

```bash
npm install
npm run build
npm run lint
npm test
npm start
```

For a small local run, write `storage/key_value_stores/default/INPUT.json` or use the Apify CLI:

```bash
apify run --input='{"keywords":["developer tools"],"languages":["TypeScript"],"maximumOrganizations":10}'
```

# Actor input Schema

## `keywords` (type: `array`):

Product, market, or repository keywords to search for.

## `technologies` (type: `array`):

Technology terms to search for in repository text, topics, and descriptions.

## `languages` (type: `array`):

GitHub repository languages such as Python, TypeScript, Rust, or Go.

## `createdAfter` (type: `string`):

ISO date used for repository discovery, not company age.

## `createdBefore` (type: `string`):

ISO date used for repository discovery, not company age.

## `minimumStars` (type: `integer`):

Minimum star count for repositories used during discovery. Stars are not treated as the primary startup signal.

## `minimumContributors` (type: `integer`):

Minimum active contributors in the recent analysis window.

## `minimumRecentActivity` (type: `integer`):

Minimum combined recent activity required after organization analysis.

## `minimumRepositories` (type: `integer`):

Minimum public repository count required for returned organizations.

## `maximumRepositories` (type: `integer`):

Optional maximum public repository count to avoid very large organizations.

## `maximumOrganizations` (type: `integer`):

Maximum unique organizations to return in the Dataset.

## `countries` (type: `array`):

Case-insensitive location terms to match against GitHub organization location.

## `includeEstablishedCompanies` (type: `boolean`):

Include organizations classified as established companies in the Dataset.

## `minimumEmergingScore` (type: `integer`):

Minimum emerging company score from 0 to 100 required for returned organizations.

## `includeWebsiteEnrichment` (type: `boolean`):

Fetch linked organization homepages for shallow public company and product evidence.

## `githubToken` (type: `string`):

Optional GitHub token. Prefer Apify secrets or environment variables.

## `repositoryAnalysisLimit` (type: `integer`):

Maximum repositories sampled per organization.

## `requestTimeoutSecs` (type: `integer`):

Timeout for GitHub and website operations where applicable.

## `concurrency` (type: `integer`):

Maximum concurrent organization analyses.

## Actor input object example

```json
{
  "keywords": [
    "AI"
  ],
  "languages": [
    "Python"
  ],
  "minimumStars": 0,
  "minimumContributors": 0,
  "minimumRecentActivity": 0,
  "minimumRepositories": 1,
  "maximumOrganizations": 10,
  "includeEstablishedCompanies": false,
  "minimumEmergingScore": 0,
  "includeWebsiteEnrichment": false,
  "repositoryAnalysisLimit": 10,
  "requestTimeoutSecs": 20,
  "concurrency": 1
}
```

# Actor output Schema

## `results` (type: `string`):

Unique GitHub organizations and company intelligence records produced by the Actor.

## `overview` (type: `string`):

Dataset items with the overview view selected by default.

## `runSummary` (type: `string`):

Summary of discovery partitions, partial completion, failure counts, and known limitations.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("coolinbex/github-startup-emerging-company-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("coolinbex/github-startup-emerging-company-finder").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 '{}' |
apify call coolinbex/github-startup-emerging-company-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,coolinbex/github-startup-emerging-company-finder"
        }
    }
}
```

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/51eFAugqywrfVMG7C/builds/xQttLwBLv4E9h6GjW/openapi.json