# AI Company Researcher (`sthiven_r/ai-company-researcher`) Actor

Turn a domain into a sales dossier: what the company does, their tech stack (technographics), contacts, hiring & e-commerce signals, social profiles — plus optional AI summary & outreach email. For SDRs and sales teams.

- **URL**: https://apify.com/sthiven\_r/ai-company-researcher.md
- **Developed by:** [Wilker Sthiven Rangel Manrique](https://apify.com/sthiven_r) (community)
- **Categories:** Social media, AI, E-commerce
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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

## AI Company Researcher 🔍

Turn any company domain into a **sales-ready dossier** in seconds: what they do, the **tech they use**, contacts, buying signals — plus an optional AI summary and outreach email.

### What it does

Give it a list of domains and get back, for each company:

- 🏢 **Company name, description, tagline**
- 🧰 **Tech stack** — Shopify, WordPress, HubSpot, Stripe, React, Webflow, and more (technographic data)
- 📧 Emails · 📞 phone · 🔗 social profiles
- 🚦 **Buying signals:** are they *hiring*? do they run an *online store*? do they publish a *blog*?
- 🤖 *Optional:* add your OpenAI API key → an **AI-written summary + personalized outreach email** per company

### Perfect for

- 📞 **SDRs & sales teams** researching accounts at scale
- 🏢 **Agencies** qualifying inbound leads
- 🛠️ **Competitive & technographic research**

### Example input

```json
{
  "domains": ["stripe.com", "webflow.com"]
}
```

### Example output

**Webflow** → tech stack: `[Webflow, Google Analytics]`, hiring: `true`, has store: `true`, 8 social profiles, full company description and tagline.

### Why this Actor

Skip the manual, tab-by-tab research. Paste a list of domains and get a structured dossier for every one — with the **technographic and buying signals** that actually drive a sales conversation.

**Keywords:** company research, tech stack lookup, technographics, sales intelligence, lead enrichment, account research, B2B prospecting, BuiltWith alternative.

# Actor input Schema

## `domains` (type: `array`):

List of company domains or URLs to research (e.g. stripe.com, https://www.notion.so).

## `openaiApiKey` (type: `string`):

Optional. If provided, generates an AI summary and a personalized outreach email per company. The cost is billed to your own OpenAI key.

## `model` (type: `string`):

OpenAI model to use when an API key is provided.

## Actor input object example

```json
{
  "domains": [
    "https://www.apify.com"
  ],
  "model": "gpt-4o-mini"
}
```

# 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 = {
    "domains": [
        "https://www.apify.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("sthiven_r/ai-company-researcher").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 = { "domains": ["https://www.apify.com"] }

# Run the Actor and wait for it to finish
run = client.actor("sthiven_r/ai-company-researcher").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 '{
  "domains": [
    "https://www.apify.com"
  ]
}' |
apify call sthiven_r/ai-company-researcher --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=sthiven_r/ai-company-researcher",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/MO6ZmallAo1y0UL9j/builds/7ZIg2DsN9t68wDlHW/openapi.json