# Competitor Pulse — AI Competitor Intelligence Monitor (`fuze/competitor-pulse`) Actor

Watch competitors holistically — pricing, website, hiring, tech, news and AI-answer-engine visibility — with AI 'what changed & why it matters' summaries. Schedule it daily. Actively maintained. · More no-code data tools → datatools-hub.vercel.app

- **URL**: https://apify.com/fuze/competitor-pulse.md
- **Developed by:** [Fredrik Hansson](https://apify.com/fuze) (community)
- **Categories:** AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $66.00 / 1,000 competitor monitoreds

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

## Competitor Pulse — AI Competitor Intelligence Monitor

Watch a competitor **holistically** — pricing, website/messaging, hiring, tech stack, news, **and AI-answer-engine visibility** — and get an AI **"what changed & why it matters"** executive summary. Point it at a previous run and it reports only what *changed*. Schedule it daily; competitive change is continuous.

Competitive-intelligence platforms (Crayon, Klue) cost $15k–$60k/yr, are sales-gated, and drown you in noise with no "so what". This is the self-serve, API-first, pay-as-you-go version — with a signal none of them own.

![Competitor Pulse — AI Competitor Intelligence Monitor — input and sample output](https://datatools-hub.vercel.app/actor-shots/competitor-pulse.png)

### 🔗 Chain it after your scraper

Already building company lists with **[Google Maps Scraper (`compass/crawler-google-places`)](https://apify.com/compass/crawler-google-places)**, **[Shopify Store Leads Scraper (`clearpath/shopify-store-leads`)](https://apify.com/clearpath/shopify-store-leads)** or **[LinkedIn Company Details Scraper (`harvestapi/linkedin-company`)](https://apify.com/harvestapi/linkedin-company)**? Drop those companies' domains into the watchlist and get an always-on "what changed & why it matters" feed across pricing, hiring, tech and AI-answer visibility. Works with any Maps, Shopify or company scraper's output.

### Quick start

1. **Fill in the input** — set the fields in the input tab (prefilled with a working example).
2. **Click Start** — the Actor runs and writes one record per item to the dataset.
3. **Get your data** — export to **JSON, CSV or Excel**, or pull it via the API.

### What it does

Per competitor domain it gathers public signals and diffs them against the baseline:

- **Pricing** — detects changes on the pricing page
- **Website / messaging** — flags material homepage rewrites
- **Hiring** — open roles from the public ATS (Greenhouse, Lever, Ashby)
- **Tech stack** — detected from the site
- **News** — fresh headlines
- **AI-answer visibility** (the unique hook) — are competitors overtaking you in ChatGPT/Perplexity answers? Tracks your share of voice vs. the competitors you monitor.

Then OpenAI writes a per-competitor **executive summary** — what changed, why it matters strategically, and a recommended action.

### Input

| Field | Type | Description |
|---|---|---|
| `competitors` | array | Competitor domains to monitor. Required. |
| `watch` | array | Which signals (empty = all): pricing, website, hiring, tech, news, ai_visibility. |
| `yourBrand` | string | Your brand — enables the AI-visibility signal. |
| `yourDomain` | string | Your domain — flags cited sources you own. |
| `aiCategory` / `aiQueries` | string / array | Category or explicit buyer prompts for AI-visibility. |
| `baselineDatasetId` | string | A previous run's dataset ID → report only what changed. |

```json
{
  "competitors": ["linear.app", "asana.com"],
  "yourBrand": "Jira",
  "aiCategory": "project management software",
  "watch": ["pricing", "hiring", "tech", "news", "ai_visibility"]
}
```

### Output

One record per competitor (snapshot + `changes[]` + `executiveSummary`), plus AI-visibility records (your share of voice per prompt/engine).

### Pricing (pay-per-event)

| Event | When | Price |
|---|---|---|
| `competitor-monitored` | per competitor per run | $0.25 |
| `change-detected` | per material change found | $0.15 |
| `ai-summary-generated` | per competitor executive summary | $0.40 |
| `ai-visibility-snapshot` | per run (share of voice across AI engines) | $0.50 |

### Who it's for

Product marketers, sales enablement, founders and agencies who need to track competitors without a $30k/yr contract.

### Notes

- Requires an OpenAI API key (`OPENAI_API_KEY`).
- Schedule it daily with a `baselineDatasetId` to get change alerts automatically.

### Related actors

- [Signal Radar — AI Account Intelligence & ICP Scoring](https://apify.com/fuze/signal-radar) — Turn company domains into ICP-scored, signal-tagged account intelligence from public
- [AI Share of Voice — Multi-Engine GEO Tracker](https://apify.com/fuze/ai-share-of-voice) — Track your brand's visibility and share of voice across AI answer engines, with
- [AI Price & Shelf Intelligence — Repricing, MAP & Assortment](https://apify.com/fuze/ai-price-intelligence) — Competitor price monitoring with an AI layer: price-change diffing, AI repricing

# Actor input Schema

## `competitors` (type: `array`):

The competitors to monitor — one domain per line. Accepts domains or URLs.

## `watch` (type: `array`):

Which signals to monitor (leave empty for all).

## `yourBrand` (type: `string`):

Your brand name — enables the AI-visibility signal: are competitors overtaking you in ChatGPT/Perplexity answers? Required for the ai_visibility signal.

## `yourDomain` (type: `string`):

Your website domain — flags cited sources you own in the AI-visibility check.

## `aiCategory` (type: `string`):

Optional category to steer auto-generated buyer questions, e.g. 'project management software'.

## `aiQueries` (type: `array`):

Buyer questions for the AI-visibility check. Leave empty to auto-generate.

## `aiQueryCount` (type: `integer`):

If no AI prompts are given, how many to auto-generate.

## `samplesPerQuery` (type: `integer`):

How many times to sample each AI prompt (confidence).

## `baselineDatasetId` (type: `string`):

Optional. A previous run's dataset ID — results then report only what CHANGED since then.

## `maxConcurrency` (type: `integer`):

How many competitors to process in parallel.

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

OpenAI model for summaries and AI-visibility. gpt-4o-mini is the cost-effective default.

## Actor input object example

```json
{
  "competitors": [
    "linear.app",
    "asana.com"
  ],
  "watch": [],
  "aiQueries": [],
  "aiQueryCount": 4,
  "samplesPerQuery": 3,
  "maxConcurrency": 4,
  "model": "gpt-4o-mini"
}
```

# Actor output Schema

## `intel` (type: `string`):

All competitor and AI-visibility records 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 = {
    "competitors": [
        "linear.app",
        "asana.com"
    ],
    "aiQueries": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("fuze/competitor-pulse").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 = {
    "competitors": [
        "linear.app",
        "asana.com",
    ],
    "aiQueries": [],
}

# Run the Actor and wait for it to finish
run = client.actor("fuze/competitor-pulse").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 '{
  "competitors": [
    "linear.app",
    "asana.com"
  ],
  "aiQueries": []
}' |
apify call fuze/competitor-pulse --silent --output-dataset

```

## MCP server setup

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

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/y1FxDs1oltTWjKGzo/builds/YwhOfNcqv4a7hsPef/openapi.json