Competitor Intelligence Report

Crawl any website and get an AI-written competitive intelligence report: customers, tech stack, positioning, and exploitable gaps. ~2 min, pay-per-use, no API keys needed.

Hosted MCP Server

npx add-mcp 'https://mcp.apify.com/?tools=fetch-actor-details,harmony_labs/competitor-intel-report'

Installs into Claude Code, Codex, Cursor and more

Documentation

Competitor Intelligence Report | Website Analysis (harmony_labs/competitor-intel-report) Actor

Crawl a website and get an AI-written competitive intelligence report: customers, tech stack, positioning, and exploitable gaps. ~2 min, pay-per-use, no API keys. MCP-compatible. Pay per report.

Pricing

from $3,500.00 / 1,000 reports

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 section below.

Each client library has reference documentation the quickstart does not restate: JavaScript/TypeScript (npm install apify-client) and Python (pip install apify-client).

README

Competitor Intelligence Report

Paste a competitor's URL. Get back a structured intelligence brief in ~2 minutes: who their customers are, what tech they run, how they position, and 3–5 specific gaps you can exploit. Neutral and factual — not a sales doc. Styled HTML output (print to PDF, screenshot for a deck). Pay-per-use. No API keys. MCP-compatible.

What you get

One report per run, covering:

  • Executive Summary — 2–3 paragraph overview of the competitor's strategy
  • Tech Stack — CMS, hosting, analytics, marketing tools, and other detected technologies
  • Customers & Testimonials — Named companies using the competitor's product, with direct quotes and metrics where available
  • Positioning & Value Proposition — Key features, pricing model, and how they differentiate
  • Opportunities — 3–5 specific gaps or weaknesses a competitor could exploit

How it works

  1. Crawls up to 5 pages of the competitor's site (prioritizing /customers, /case-studies, /testimonials, /about, /pricing, /blog)
  2. Uses an LLM to analyze the content and generate a structured report
  3. Returns the full report as plain text in the dataset

Input

FieldDescription
Competitor URLThe competitor's website (e.g., "https://stripe.com")
IndustryOptional: specify the industry for better context
Max PagesNumber of pages to crawl (default: 5)
LLM ModelGemini 2.5 Flash or Claude Haiku 4.5

Output

One row in the dataset:

FieldDescription
competitor_urlThe URL you analyzed
pages_crawledHow many pages were successfully fetched
reportThe full intelligence report (plain text)

Use cases

  • Before a sales call — Know who your prospect's current vendor is, what they're paying, and where the gaps are
  • Track competitor customer wins — See which companies are publicly associated with a competitor
  • Find switching candidates — Identify customers with quoted pain points or dissatisfaction
  • Pricing intelligence — Understand how a competitor positions their pricing (or hides it)
  • Content strategy — Find positioning language and features you should counter

Pricing

Pay-per-event: $5 per completed report.

Notes

  • No API keys required — LLM calls are handled via Apify's built-in OpenRouter proxy.
  • Average run time: 30–90 seconds.
  • Sites that block scraping (Cloudflare, bot detection) may return fewer pages. The report will reflect only what was successfully crawled.
  • Tech stack detection is based on visible signals in page content (scripts, meta tags, mentions). For deeper fingerprinting, pair with a dedicated tool like BuiltWith.

MCP

Add this to your MCP client config to use this actor as a tool:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=harmony_labs/competitor-intel-report"
    }
  }
}   

Related

Head-to-Head Competitor Analysis — two competitor URLs in, a neutral 7-section comparative brief out (positioning, pricing, feature gaps) in under 3 minutes.

  • AI Keyword Generator — one seed keyword in, a ranked list of long-tail keywords out with search intent and difficulty scores.

Actor input Schema

competitorUrl (type: string):

The competitor's website URL

industry (type: string):

Optional: specify the industry for better context

maxPages (type: integer):

Number of pages to crawl

model (type: string):

Which model to use

Actor input object example

{
  "competitorUrl": "https://stripe.com",
  "maxPages": 5,
  "model": "anthropic/claude-haiku-4.5"
}

Actor output Schema

reportUrl (type: string):

No description

results (type: string):

No description

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

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 = {
    "competitorUrl": "https://stripe.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("harmony_labs/competitor-intel-report").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

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 = { "competitorUrl": "https://stripe.com" }

# Run the Actor and wait for it to finish
run = client.actor("harmony_labs/competitor-intel-report").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

echo '{
  "competitorUrl": "https://stripe.com"
}' |
apify call harmony_labs/competitor-intel-report --silent --output-dataset

MCP server setup

{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,harmony_labs/competitor-intel-report"
        }
    }
}

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/0bNeIN9ZDg19U1Q89/builds/5l043RpNWEWg6Gtni/openapi.json