Acquire.com Scraper — Full Financials, Metrics & Details

Extract startup acquisition listings from Acquire.com (formerly MicroAcquire) with the complete logged-in dataset — not just the thin public preview other scrapers return.

Every competing Acquire scraper is HTTP-only and reads the public page, so it gets ~6 fields: title, asking price, annual revenue/profit, category. This actor authenticates and pulls the full marketplace data behind the free buyer login: TTM & last-month revenue/profit, valuation multiples, growth rate, ARR, churn, customer count, business model, tech stack, competitors, growth opportunities, key assets, financing, the year-by-year P&L snapshot, and more — for every listing.

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🔥 What you get per listing

💰 Financials

• Asking price + currency
• TTM (trailing-12-month) revenue & profit
• Last month's revenue & profit
• Revenue multiple & profit multiple
• Annual growth rate (%)
• ARR (annual recurring revenue)
• Year-by-year P&L snapshot (revenue / expenses / net income)

👥 Customer metrics

• Customer count (band)
• Churn rate (+ numeric + trend)

🧩 The structured "Details" section

• Business model + keywords
• Tech stack + keywords
• Competitors
• Growth opportunities
• Key assets
• Selling reason
• Financing type
• Asking-price reasoning
• Date founded, team size

📋 Basics

• Listing title & full description
• Category, location, verified status
• Canonical listing URL, weekly views

Listings on Acquire are anonymized — the seller's company name / website is unlocked only on the paid Platinum tier. This actor returns everything except the masked identity. Every field above is from the free logged-in view.

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🎯 Two ways to use it

1. Crawl the marketplace (default). Leave Start URLs empty and the actor walks the entire marketplace (~1,300+ verified listings), newest-first, applying your filters:

{
  "maxItems": 200,
  "categories": ["SaaS", "AI"],
  "minProfit": 50000,
  "minRevenueMultiple": 1,
  "maxRevenueMultiple": 5,
  "verifiedOnly": true,
  "fetchFullDetails": true
}

2. Specific listings. Paste listing URLs (public …/startup/<linkId>-<slug> or logged-in …/startup/<uid>/<id>):

{
  "startUrls": [
    "https://app.acquire.com/startup/p0z12oozeu-product-bundling-app-for-shopify-merchants"
  ],
  "fetchFullDetails": true
}

Filters

categories · verifiedOnly · minPrice/maxPrice · minRevenue/maxRevenue (TTM) · minProfit/maxProfit (TTM) · minRevenueMultiple/maxRevenueMultiple · minProfitMultiple/maxProfitMultiple · minGrowth.

Numeric filters are applied on the rich per-listing data, so they're exact.

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📦 Output sample

{
  "startupId": "byDmmxVSuCp6Sl7oUkzq",
  "url": "https://app.acquire.com/startup/cnuhku2dnl-venture-backed-ai-video-saas",
  "title": "Venture-Backed AI Video SaaS — 250+ Customers, $52k ARR",
  "category": "AI",
  "location": "United States",
  "askingPrice": 119130,
  "currency": "USD",
  "revenueMultiple": 1.1,
  "profitMultiple": 9.9,
  "ttmRevenue": 104096,
  "ttmProfit": 12000,
  "lastMonthRevenue": 5281,
  "lastMonthProfit": 1000,
  "annualGrowthRate": -39.63,
  "arr": 54655,
  "customers": "251-500",
  "churnRate": "10%+",
  "businessModel": "Subscription",
  "techStack": "Django, Python, React, PostgreSQL, AWS",
  "competitors": ["Heygen"],
  "growthOpportunities": ["Increase pricing", "Expand to new markets"],
  "keyAssets": ["Codebase", "Customers", "Intellectual property"],
  "sellingReasoning": "Lack of time",
  "financing": "Bootstrapped",
  "dateFounded": "2022-02-01",
  "teamSize": "small",
  "askingPriceReasoning": "Price ~ ARR x 2.3x and ~ TTM profit x 9.9x …",
  "financialSnapshot": { "entries": [ { "type": "TTM", "revenue": 65000, "expenses": 53000, "netIncome": 12000 } ] }
}

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🆚 vs. other Acquire.com scrapers

Every other Acquire scraper is HTTP-only and reads the public page. This one logs in — so it returns the data buyers actually evaluate deals on.

Data	Public-only scrapers	This actor
Title, asking price, category, description	✅	✅
Annual revenue & profit	✅	✅
TTM & last-month revenue / profit	❌	✅
Revenue & profit multiples	❌	✅
ARR · churn · customer count	❌	✅
Business model · tech stack · competitors	❌	✅
Growth opportunities · key assets	❌	✅
Year-by-year P&L snapshot	❌	✅
Asking-price reasoning · financing	❌	✅
Fields per listing	~6	42

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⚙️ How it works

Pure HTTP — no headless browser. The actor authenticates, then reads the marketplace search API and each listing's detail document directly, with polite request pacing and automatic retry/back-off on rate limits. Set fetchFullDetails: false for a faster, cheaper summary-only run (still includes all the financials, multiples, growth, churn, customers and ARR).

💡 Use cases

• Acquisition deal sourcing — filter the whole marketplace by price, revenue, profit, multiple, growth.
• Market & valuation research — multiples and metrics across categories.
• Build a deal pipeline — structured, deduplicated dataset for your CRM or model.
• Monitor new listings — schedule daily, newest-first.

❓ FAQ

Do I need an Acquire.com account? No — the actor handles authentication for you. Can I get the startup's name/website? No — those are masked by Acquire behind the paid Platinum tier. Everything else from the logged-in view is included. Is this affiliated with Acquire.com? No.

📨 Support

Questions or custom fields? muhameddidovic@gmail.com

⚠️ Disclaimer

This Actor accesses data on Acquire.com for legitimate research, market-intelligence, and acquisition deal-sourcing purposes. Use of this Actor must comply with Acquire.com's Terms of Service and all applicable laws, including data-protection regulations (GDPR, CCPA, etc.). The Actor's authors are not responsible for any misuse. Users must:

• Respect rate limits and avoid overloading Acquire.com's infrastructure
• Not use scraped data to violate user privacy or the platform's terms
• Use the data in compliance with applicable jurisdictions
• Not republish scraped content in violation of copyright

This Actor is not affiliated with, endorsed by, or sponsored by Acquire.com or MicroAcquire. All trademarks belong to their respective owners. We do not store any scraped data; the Actor returns it directly to your Apify dataset for your authorized use.

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