SaaS Competitor Intelligence Analyzer

Extract competitor tech stack, pricing tiers, and feature lists from any SaaS website in seconds. A lightweight alternative to BuiltWith and manual competitor research — no API keys, no browser required.

What does SaaS Competitor Intelligence Analyzer do?

SaaS Competitor Intelligence Analyzer crawls competitor SaaS websites and returns structured competitive data that would take hours to gather manually.

For each URL you provide, the actor visits the homepage, pricing page, and features page to extract:

• Tech stack detection — identifies 46+ technologies including React, Next.js, Vue, Tailwind, Stripe, Intercom, Segment, HubSpot, Cloudflare, and more
• Pricing tier extraction — scrapes plan names, prices, billing periods, and per-tier feature lists from the competitor's pricing page
• Feature list scraping — extracts product feature lists from features or product pages
• Company metadata — page title, description, social links (Twitter/X, LinkedIn, GitHub), contact email, and favicon

All data comes from publicly visible HTML — no login, no JavaScript rendering, no API keys needed.

Why use SaaS Competitor Intelligence Analyzer?

Manually tracking SaaS competitors across pricing, features, and tech stack is slow and expensive. This actor automates that research so you can:

• Build a competitive matrix — compare pricing tiers and feature sets across your whole competitive landscape in one export
• Monitor competitor pricing changes — schedule weekly runs and get alerted when a competitor changes their pricing page
• Detect what tech stack competitors use — find out if they're running on AWS or Cloudflare, using Segment or Amplitude, selling through Stripe or Chargebee
• Write sales battle cards — arm your sales team with real pricing and feature comparisons against named competitors
• Research a market before entering it — profile 20 SaaS companies in minutes instead of days
• Investment due diligence — get structured data on any portfolio company or acquisition target

Who is this for?

Role	Use case
Product managers	Track when competitors add new features or restructure pricing
Founders	Benchmark pricing and positioning before a launch
Sales teams	Build battle cards with live competitor pricing
VCs / analysts	Quickly profile SaaS companies at scale
Growth marketers	Discover what analytics and ad tech competitors use
Developers	Find out what frameworks and infrastructure competitors are running

How to scrape SaaS competitor websites

1. Click Try for free.
2. Enter one or more competitor website URLs (e.g., https://slack.com, https://notion.so, https://linear.app).
3. Select which analyses to run: tech stack, pricing, features — or all three.
4. Click Run.
5. When the run finishes, preview or download results from the Dataset tab in JSON, CSV, or Excel format.

Typical run time: under 30 seconds per URL.

Input parameters

Field	Type	Default	Description
urls	array	(required)	List of competitor website URLs to analyze
analyzePricing	boolean	true	Scrape the pricing page for plan names, prices, and billing periods
analyzeFeatures	boolean	true	Scrape the features or product page for feature lists
detectTechStack	boolean	true	Detect 46+ technologies from HTML, headers, and script tags

Output / Results

Each competitor URL produces one structured JSON result:

{
  "url": "https://notion.so",
  "companyName": "Notion",
  "title": "Notion – The all-in-one workspace",
  "description": "A new tool that blends your everyday work apps into one.",
  "techStack": ["React", "Next.js", "Cloudflare", "Google Analytics", "Stripe", "Intercom"],
  "techStackCount": 6,
  "pricingTiers": [
    {
      "planName": "Free",
      "price": "$0",
      "period": "month",
      "features": ["Unlimited pages", "7-day page history", "10 guest collaborators"]
    },
    {
      "planName": "Plus",
      "price": "$10",
      "period": "month",
      "features": ["Unlimited file uploads", "30-day page history", "100 guest collaborators"]
    }
  ],
  "pricingTiersCount": 2,
  "features": ["Docs", "Wikis", "Projects", "AI assistant", "Integrations"],
  "featuresCount": 5,
  "socialLinks": { "twitter": "https://twitter.com/NotionHQ", "linkedin": "https://linkedin.com/company/notionhq" },
  "contactInfo": { "email": "team@makenotion.com" },
  "metadata": { "language": "en", "favicon": "/favicon.ico" },
  "analyzedAt": "2025-01-15T14:30:00Z"
}

Export to JSON, CSV, or Excel from the Dataset tab, or pull results directly via the Apify API.

Tips for getting better results

• Batch multiple competitors — enter 5–20 URLs in one run and export to a spreadsheet for a side-by-side competitive matrix.
• Schedule weekly monitoring — use Apify's built-in scheduler to run this actor weekly and detect pricing or feature changes over time.
• Disable unused analyses — set analyzeFeatures: false or analyzePricing: false to run faster when you only need tech stack data.
• Use the API — integrate results into your CRM, Notion database, or Airtable using the Apify API or Zapier/Make integrations.

How much does it cost?

Apify provides $5 in free credits every month on the Free plan — enough to analyze dozens of SaaS competitors. Paid plans start at $49/month for heavier usage.

Is it legal to scrape SaaS competitor websites?

This actor only accesses publicly visible website data — HTML source code, JavaScript includes, HTTP headers, and meta tags. This is equivalent to viewing a website's source in your browser's developer tools. No login is required and no authentication is bypassed.

Note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. We recommend reading: is web scraping legal?

Webhook Integration

Pass an optional webhookUrl in the input to receive a POST notification when the run finishes:

{
  "webhookUrl": "https://your-server.com/webhook"
}

Payload sent by Apify:

{
  "eventType": "ACTOR.RUN.SUCCEEDED",
  "eventData": { "actorId": "...", "actorRunId": "..." },
  "resource": { "id": "...", "status": "SUCCEEDED", "defaultDatasetId": "..." }
}

The webhook fires on SUCCEEDED, FAILED, TIMED_OUT, and ABORTED events. Use it to trigger downstream pipelines, Zapier, Make.com, or any HTTP endpoint.

FAQ about SaaS Competitor Scraper

How many technologies does the tech stack detector recognize? 46+ technologies including frontend frameworks (React, Vue, Angular, Next.js, Nuxt), CSS frameworks (Tailwind, Bootstrap), analytics (Google Analytics, Segment, Amplitude, Mixpanel), payments (Stripe, Chargebee, Paddle), CRM/support (HubSpot, Intercom, Zendesk), hosting (AWS, Cloudflare, Vercel, Fastly), and more.

What if a SaaS company doesn't list pricing publicly? If the pricing page doesn't exist or doesn't contain structured plan data, pricingTiers will be an empty array. This itself is useful data — it signals the company uses custom/enterprise pricing and doesn't compete on published price.

Does it detect pricing for SaaS products with custom enterprise quotes? Only published public pricing is extracted. "Contact Sales" or custom pricing pages won't yield pricing tiers, but the pricingTiersCount: 0 result flags them clearly for manual follow-up.

Can I schedule competitor monitoring to catch pricing changes? Yes. Use Apify's built-in scheduler (Actor page → Schedule) to run weekly. Compare current results against a previous export to identify which competitors changed plans or pricing.

How accurate is the pricing extraction? Pricing page layouts vary significantly across SaaS companies. The actor handles common patterns (pricing cards, feature comparison tables), but highly custom-designed pricing pages may return partial data.

How fast is each analysis? Under 30 seconds per URL. Batch 10–20 competitors in a single run for a full competitive landscape in under 5 minutes.

Can I extract emails or LinkedIn profiles? The actor extracts publicly visible contact emails and social links (Twitter/X, LinkedIn, GitHub) from the homepage and about page. Email and social data are available when the company posts them publicly.

Output field reference

Field	Type	Description
url	String	Competitor website URL analyzed
companyName	String	Company name from page title
title	String	Full page <title> tag
description	String	Meta description
techStack	Array	List of detected technology names
techStackCount	Integer	Number of technologies detected
pricingTiers	Array	Plan objects with name, price, period, features
pricingTiersCount	Integer	Number of pricing tiers found
features	Array	Product features extracted from features page
featuresCount	Integer	Number of features listed
socialLinks	Object	Twitter, LinkedIn, GitHub URLs
contactInfo	Object	Public contact email
analyzedAt	String	ISO 8601 timestamp of analysis

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