# Company Intelligence - Traffic, Ads, Reviews, Hiring & Social (`s-r/company-360`) Actor

One company in, a full competitive-intelligence dossier out: web traffic, SEO backlinks, reviews, hiring signals, cross-platform ad spend, social footprint and news. Company data enrichment and competitor analysis for sales and lead generation.

- **URL**: https://apify.com/s-r/company-360.md
- **Developed by:** [SR](https://apify.com/s-r) (community)
- **Categories:** Business, Lead generation, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $100.00 / 1,000 section builts

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

## Company 360

One company in, one competitive-intelligence dossier out. Give it a name and a
domain; get a single structured profile that pulls together **web traffic, SEO,
reviews, hiring, cross-platform ad spend, social footprint and recent news** —
the whole picture in one run, one company at a time.

### What's in the dossier

| Section | Source | What you get |
|---|---|---|
| `traffic` | SimilarWeb | global / country / category rank, category |
| `seo` | backlinks + on-page audit | referring domains, dofollow %, avg source score, audit score + issues |
| `reviews` | Trustpilot (+ optional G2) | aggregate rating, sample reviews |
| `hiring` | 10 job boards (company mode) | open-role count + sample titles — a live growth signal |
| `ads` | Meta/Google/TikTok/LinkedIn/Snapchat ad libraries | which platforms they advertise on + ad volume |
| `social` | 10 social platforms | which platforms the brand is on + total follower reach |
| `news` | Google News | recent headlines |

### Input

| Field | What it does |
|---|---|
| `company` | The company to profile. Required. |
| `domain` | Its website domain — the master key everything resolves to. Required. |
| `sections` | Which parts to build. Defaults to all. |
| `country` | Market for geo-aware modules. |
| `g2_product_slug` | Optional — adds G2 reviews. |
| `ai_brief` | Optional — a short AI executive summary of the dossier. |

### Output

A single `company_360` row keyed on the domain, with a sub-object per section.
A section whose source fails is left out and noted under `errors`, so a partial
dossier is still delivered. With `ai_brief` on, an `ai_brief` string
summarizes the whole thing.

### Uses

- **Competitive intelligence** — a rival's full posture (traffic, ad spend,
  hiring, reputation) on one screen.
- **Sales research** — qualify and personalize against a target account.
- **Investment / due diligence** — a fast, sourced first pass on a company.

Run it once per company. It composes the underlying scrapers and our own
cross-platform ad-library, handle-checker and job-aggregator, so one run
replaces a dozen.

# Actor input Schema

## `company` (type: `string`):

The company to profile (one per run).

## `domain` (type: `string`):

The company's website domain — the master key everything resolves to.

## `sections` (type: `array`):

Which parts of the dossier to build. Defaults to all.

## `country` (type: `string`):

Market for the ad library and other geo-aware modules.

## `g2_product_slug` (type: `string`):

Optional G2 slug to add G2 reviews to the reviews section.

## `ai_brief` (type: `boolean`):

Generate a short AI executive summary of the dossier (needs GEMINI\_API\_KEY; billed as one extra event).

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

How many sub-scrapers to run at once. Keep at or below your plan's concurrent-run limit (free plan = 5).

## Actor input object example

```json
{
  "company": "HubSpot",
  "domain": "hubspot.com",
  "sections": [
    "traffic",
    "seo",
    "reviews",
    "hiring",
    "ads",
    "social",
    "news"
  ],
  "country": "US",
  "ai_brief": false,
  "concurrency": 2
}
```

# Actor output Schema

## `dossier` (type: `string`):

Traffic, SEO, reviews, hiring, ads, social and news for the 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 = {
    "company": "HubSpot",
    "domain": "hubspot.com",
    "sections": [
        "traffic",
        "seo",
        "reviews",
        "hiring",
        "ads",
        "social",
        "news"
    ],
    "country": "US",
    "g2_product_slug": "",
    "concurrency": 2
};

// Run the Actor and wait for it to finish
const run = await client.actor("s-r/company-360").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 = {
    "company": "HubSpot",
    "domain": "hubspot.com",
    "sections": [
        "traffic",
        "seo",
        "reviews",
        "hiring",
        "ads",
        "social",
        "news",
    ],
    "country": "US",
    "g2_product_slug": "",
    "concurrency": 2,
}

# Run the Actor and wait for it to finish
run = client.actor("s-r/company-360").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 '{
  "company": "HubSpot",
  "domain": "hubspot.com",
  "sections": [
    "traffic",
    "seo",
    "reviews",
    "hiring",
    "ads",
    "social",
    "news"
  ],
  "country": "US",
  "g2_product_slug": "",
  "concurrency": 2
}' |
apify call s-r/company-360 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,s-r/company-360"
        }
    }
}
```

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/TeoYwhvcMEV44rcrt/builds/hHpKCFJKFgmGNSNeX/openapi.json