# Company News Research (`david15999/company-news-research`) Actor

Live Google research on any company domain, classified into dated B2B buying signals: funding, acquisitions, launches, leadership changes, expansion, partnerships, layoffs, AI adoption and security incidents. Each with a source link. Ready for Clay.

- **URL**: https://apify.com/david15999/company-news-research.md
- **Developed by:** [David Emanuel Moreira](https://apify.com/david15999) (community)
- **Categories:** Lead generation, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $28.00 / 1,000 company researcheds

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

## 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

## Company News Research

Give it any list of company domains. For each one we run a fresh Google search for the last 12
months and classify what we find into dated buying signals, each with a source link, ready to drop
into a Clay table or a CRM. It works on companies nobody has tracked before.

### Signals

| Category | What it means |
| --- | --- |
| `ai_adoption` | Building, deploying or scaling AI, generative AI or AI agents |
| `funding_round` | Raised a round, took investment, or went public |
| `acquisition` | Acquired a company or was acquired |
| `product_launch` | Launched a new product, platform or major feature |
| `leadership_change` | A C-level or VP executive joined or left |
| `expansion` | New offices, new markets, or major hiring |
| `partnership` | A partnership, integration or reseller deal |
| `restructuring` | Layoffs, restructuring or cost cutting |
| `security_incident` | A data breach or cyberattack (only when dated and under a year old) |

Each row has the newest story's date, headline and link, plus every supporting story.
`signal_date_estimated` is set when no result carried a publication date.

### Good to know

The categories are general B2B buying events, with extra attention to AI and security. The search
covers public web news from the last 12 months, so small private companies with little
press often come back with no signal, and are still charged as a live search.

### Pricing

| Event | Price | When |
| --- | --- | --- |
| `company-researched` | USD 0.04 (USD 40 per 1,000) | Per domain researched, with or without a signal |

Every domain is a live search, so a domain with no news is still charged. A domain the search
could not finish is not charged. The run never researches more domains than your maximum charge
allows. Example: 100 domains = USD 4.

### Timing

Searches run in batches of 25 domains. A batch usually takes 2 to 15 minutes. A domain someone
researched in the last 24 hours comes back at once from cache, at the same price.

### Input

| Field | Notes |
| --- | --- |
| `domains` | Domains, website URLs or work emails |

### Related

**Security and AI Buying Signals** returns the signals we already hold, faster and cheaper, and
**B2B Company Firmographics by Domain** returns company data.

### Data and privacy

Company-level data only. No personal data is returned.

### FAQ

**How is this different from Security and AI Buying Signals?**
That actor reads signals we already store. This one searches the web live, so it works for any domain, including small or new companies.

**How much does it cost?**
USD 40 per 1,000 domains researched. A domain with no news is still charged because the search ran.

**How fresh is the news?**
Each run searches live. Results from the last 24 hours are reused at the same price.

### More Compass actors

- [B2B Company Firmographics by Domain](https://apify.com/david15999/b2b-company-firmographics): industry, size, revenue, NAICS, tech stack and funding for a list of domains
- [Security and AI Buying Signals](https://apify.com/david15999/b2b-company-signals): dated breach, hiring, 10-K/8-K and AI adoption signals per company
- [ICP Fit Score](https://apify.com/david15999/company-icp-fit): a 1-10 fit score per company against your ICP, written in plain words
- [In-Market Timing Score](https://apify.com/david15999/company-timing-score): contact now, nurture or wait, with the dated trigger behind it
- [Competitor Post Engagers](https://apify.com/david15999/competitor-engagers): people engaging with your competitors on LinkedIn, with verified work emails
- [Competitor Install Base](https://apify.com/david15999/competitor-install-base): companies that publicly use a competitor product, with the proof
- [Champion Job-Change Tracker](https://apify.com/david15999/champion-job-change): people from your customer accounts who moved to a new company
- [New-Hire Radar](https://apify.com/david15999/new-hire-radar): decision-makers in their first 6 months at companies like your customers
- [B2B Audience Behavioral Profile](https://apify.com/david15999/audience-profile): the themes, pains and voices your buyers follow, in one report

# Actor input Schema

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

Company domains to research (acme.com). Website URLs and work emails are accepted too: the domain is extracted.

## Actor input object example

```json
{
  "domains": [
    "crowdstrike.com"
  ]
}
```

# Actor output Schema

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

One row per result in the default dataset.

# 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": [
        "crowdstrike.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("david15999/company-news-research").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": ["crowdstrike.com"] }

# Run the Actor and wait for it to finish
run = client.actor("david15999/company-news-research").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 '{
  "domains": [
    "crowdstrike.com"
  ]
}' |
apify call david15999/company-news-research --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,david15999/company-news-research"
        }
    }
}
```

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/mDdF8UXdGmC8TPUIy/builds/gUuaO5ccUAJ7vTxA4/openapi.json