# Gregslist Companies Scraper — SaaS founders & websites (`hyperbach/gregslist-companies`) Actor

The full Gregslist directory of local software & SaaS companies as structured data — funding tier (self-funded/VC/acquired), named founders with LinkedIn, website, careers page and city across 12 North American hubs. Curated operator data that doesn't surface in Crunchbase or LinkedIn scrapers.

- **URL**: https://apify.com/hyperbach/gregslist-companies.md
- **Developed by:** [Hyperbach](https://apify.com/hyperbach) (community)
- **Categories:** Lead generation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 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/platform/actors/running/actors-in-store#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

## Gregslist Software Companies

**The full Gregslist directory of local software & SaaS companies — as structured data.** Every company comes with its **funding tier**, its **named founders (with LinkedIn)**, its city, and its website. A curated, operator-focused list you can't get anywhere else on Apify.

### Why Gregslist, not a generic company database

- **The company, with its funding and founders — not just a name.** Each record carries the funding classification (self-funded / VC-funded / acquired / public), the named founders and executives with their LinkedIn profiles, the company's website and careers page, and its city. Prospecting-ready in one row.
- **A curated source you can't scrape elsewhere.** Gregslist is hand-maintained by Greg Head — a clean, deduplicated list of *operating* software and SaaS companies across 12 North American hubs, heavy on the bootstrapped and self-funded companies that Crunchbase and PitchBook under-cover. No other Apify actor covers it.
- **By city.** Pull a specific tech hub (Austin, Denver, Boston, …) — the 12 metros Gregslist tracks — to build a local company list.
- **Clean, not noisy.** A human editor keeps it current, so you get real companies with real founders, not a scrape full of duplicates and dead entries.

### Who it's for

- **Sales & lead-gen teams** — founders + LinkedIn + website on every company — a target list becomes reachable prospects, not just names.
- **Recruiters & talent researchers** — map the software employers in a city, with their founders and funding stage.
- **Investors & market researchers** — track the bootstrapped / self-funded SaaS landscape by city — the segment the VC databases miss.

### Quick start

**Two cities**

```json
{
  "cities": [
    "austin",
    "denver"
  ]
}
```

**One city, founders included**

```json
{
  "cities": [
    "boston"
  ],
  "includePeople": true
}
```

**Cap the run**

```json
{
  "cities": [
    "denver"
  ],
  "maxCompanies": 50
}
```

### Output

One record per company:

| field | meaning |
|---|---|
| `name` | Company name. |
| `description` | One-line description of what the company does. |
| `funding` | Funding classification: Self-funded, VC-funded, Acquired, Public, and so on. |
| `employees` | Employee band (e.g. `51-200 employees`). |
| `city` | The Gregslist city hub the company is listed under. |
| `website` | The company's own website. |
| `careers_url` | The company's careers / jobs page, when listed. |
| `linkedin` | The company's LinkedIn page. |
| `people` | Founders and executives, each with name, role, and LinkedIn profile. |
| `profile_url` | The company's Gregslist profile page. |
| `slug` | Gregslist slug — a stable identifier for the company. |
| `maps_url` | Google Maps location, when Gregslist lists one. |

Example record:

```json
{
  "name": "23blocks",
  "description": "Backend as a Service using low code platform.",
  "funding": "Self-funded",
  "employees": "11-50 employees",
  "city": "Boulder",
  "website": "https://23blocks.com/",
  "careers_url": null,
  "linkedin": "https://www.linkedin.com/company/23blocks/about/",
  "people": [
    {
      "name": "Jose Bastidas",
      "role": "CEO and Co-Founder",
      "linkedin": "https://www.linkedin.com/in/jose-felipe-bastidas-2b173a9/"
    },
    {
      "name": "Juan Pelaez",
      "role": "Chief Technology Officer",
      "linkedin": "https://www.linkedin.com/in/juancarlospelaez/"
    }
  ],
  "profile_url": "https://gregslist.com/denver/company/23blocks/",
  "slug": "23blocks",
  "maps_url": "https://goo.gl/maps/L428PqHhreH6Pkdp9"
}
```

### Pricing

**$0.005 per result** ($5 per 1,000 companies) — pay only for the companies a run returns, with **no start fee**. Company and lead data prices above job data, and this is a curated source — founders with LinkedIn, funding tier, careers page — that no other Apify actor covers. Top-of-commodity plus a premium for the enrichment.

### Usage patterns

- **Build a local company list** — Pass one or more cities and get every software company there with funding tier, founders, and website.
- **Founder outreach** — Every company carries its founders and executives with LinkedIn profiles — turn the directory into a contact list.
- **Segment by funding stage** — Filter the results by `funding` to separate self-funded from VC-funded or acquired companies.

### Input configuration

| field | type | default | what it does |
|---|---|---|---|
| `cities` | `array` | `["atlanta", "austin", "boston", "chicago", "dallas", "denver", "houston", "phoenix", "raleigh-durham", "salt-lake-city", "san-diego", "toronto"]` | Which city directories to scrape. Valid slugs: atlanta, austin, boston, chicago, dallas, denver, houston, phoenix, raleigh-durham, salt-lake-city, san-diego, toronto. Leave empty for all of them. |
| `includePeople` | `boolean` | `true` | Include each company's listed founders and executives with their LinkedIn profiles. |
| `maxCompanies` | `integer` | `0` | Stop after this many companies in total. 0 means no limit (the full directory). |
| `requestDelaySecs` | `number` | `0.5` | Politeness delay between page requests. |
| `maxPagesPerCity` | `integer` | `60` | Safety cap on pagination depth per city (each page is ~90 companies). |
| `concurrency` | `integer` | `6` | Maximum simultaneous Gregslist requests. Lower it if the site starts returning fetch warnings. |

### FAQ

**How is this different from a Crunchbase scraper?**

Crunchbase is VC-skewed, paywalled, and rate-limited. Gregslist is a free, human-curated list focused on *operating* software companies — including the bootstrapped ones Crunchbase under-covers — organized by city, with founders and funding tier. Different source, different segment.

**Which cities are covered?**

The 12 hubs Gregslist maintains: Atlanta, Austin, Boston, Chicago, Dallas, Denver, Houston, Phoenix, Raleigh-Durham, Salt Lake City, San Diego, Toronto.

**Is the data live?**

It reflects Gregslist at run time. Greg Head updates the directory on his own cadence; this Actor returns whatever is current when you run it.

### Integration

#### JavaScript

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('hyperbach/gregslist-companies').call({"cities": ["austin", "denver"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

#### Python

```python
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('hyperbach/gregslist-companies').call(run_input={'cities': ['austin', 'denver']})
items = client.dataset(run['defaultDatasetId']).list_items().items
```

#### CLI

```bash
apify call hyperbach/gregslist-companies --input '{"cities": ["austin", "denver"]}'
```

#### REST

```bash
curl -X POST "https://api.apify.com/v2/acts/hyperbach~gregslist-companies/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H 'Content-Type: application/json' -d '{"cities": ["austin", "denver"]}'
```

### Support

support@hyperbach.com

*This page is generated from the Actor's schemas and a live sample — it cannot describe a field the Actor does not have.*

# Actor input Schema

## `cities` (type: `array`):

Which city directories to scrape. Valid slugs: atlanta, austin, boston, chicago, dallas, denver, houston, phoenix, raleigh-durham, salt-lake-city, san-diego, toronto. Leave empty for all of them.

## `includePeople` (type: `boolean`):

Include each company's listed founders and executives with their LinkedIn profiles.

## `maxCompanies` (type: `integer`):

Stop after this many companies in total. 0 means no limit (the full directory).

## `requestDelaySecs` (type: `number`):

Politeness delay between page requests.

## `maxPagesPerCity` (type: `integer`):

Safety cap on pagination depth per city (each page is ~90 companies).

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

Maximum simultaneous Gregslist requests. Lower it if the site starts returning fetch warnings.

## Actor input object example

```json
{
  "cities": [
    "austin",
    "denver"
  ],
  "includePeople": true,
  "maxCompanies": 0,
  "requestDelaySecs": 0.5,
  "maxPagesPerCity": 60,
  "concurrency": 6
}
```

# Actor output Schema

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

All scraped records in the default dataset. One record per company:

# 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 = {
    "cities": [
        "austin",
        "denver"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hyperbach/gregslist-companies").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 = { "cities": [
        "austin",
        "denver",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("hyperbach/gregslist-companies").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 '{
  "cities": [
    "austin",
    "denver"
  ]
}' |
apify call hyperbach/gregslist-companies --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hyperbach/gregslist-companies"
        }
    }
}

```

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/RF1XAdDntJkzOkmXE/builds/UU180RQxW8oRAJ25u/openapi.json