Acquire.com Scraper

💼 Acquire.com Scraper

Scrape startups and online businesses for sale on Acquire.com: asking price, annual revenue and profit, growth, revenue and profit multiples, customers, churn, tech stack, competitors, price history and more. Get every public listing in seconds, filter by category, price, revenue, multiples, age or country, or scrape exactly the listings you paste. No login, no cookies, no account.

✨ Why use Acquire.com Scraper?

• ⚡ Fast — the whole public marketplace (about 1,200 listings) in about 16 seconds of run time; 20 listings in about 7.
• 🔓 No login needed — works on the listings Acquire.com shows publicly. You never share a session or password.
• 🧮 Deal metrics ready to use — asking price, revenue, profit and growth as numbers, plus revenue and profit multiples computed for you.
• 🎯 Real filters — category, keywords, asking price, revenue, profit, growth, multiples, age, customers, country, listed in the last N days, verified, under advisory, recast financials.
• 📚 Complete records — every field of the listing: description, price reasoning, assets included, reasons for selling, growth ideas, financial snapshot, asking price history and status history.
• 💸 Pay per listing — you pay only for listings saved.

🎯 Use cases

• 🤝 Deal sourcing — feed new SaaS, ecommerce or mobile app listings into your CRM every day and screen them by revenue, profit and multiple.
• 📊 Valuation benchmarks — compare asking-price multiples by category, size or growth to price your own business or an offer.
• 🔔 Price monitoring — track price drops on listings you follow (asking price history included) and catch new listings early.
• 🧑‍💼 Buy-side and broker research — build watchlists by niche, tech stack, country or customer count.
• 📈 Market research — study what kinds of startups are for sale, why founders sell and which competitors they name.

🚀 How to use

1. Leave Acquire.com URLs empty to scrape every public listing, or paste a category page (for example https://acquire.com/saas-companies-for-sale/) or listing links (https://app.acquire.com/public/...).
2. Set Max listings (0 = every listing that matches).
3. Optionally pick a sort order and filters (category, price, revenue, profit, multiples, age, country...).
4. Click Start and wait a few seconds.
5. Download the results as JSON, CSV, Excel or HTML, or read them through the API.

📥 Input

{
  "categories": ["saas"],
  "minAnnualProfit": 20000,
  "maxRevenueMultiple": 4,
  "hideUnderOffer": true,
  "sortBy": "highAnnualProfit",
  "maxItems": 50
}

📤 Output

One row per listing. The main columns:

The row also keeps every other field of the listing record (for example revenue, totalRevenueMonthly, totalProfitMonthly, dateFounded, sellerInfo, insights, metrics).

{
  "id": "iB3sylAnBybl2qimGu2m",
  "linkId": "hv9rzot30c",
  "listingHeadline": "AI academic research platform for finding credible sources and generating citations",
  "category": "SaaS",
  "status": "verified",
  "listingType": "platinum",
  "location": "United States",
  "askingPriceUsd": 1100000,
  "annualRevenueUsd": 512635,
  "annualProfitUsd": 277536,
  "annualGrowthPercent": 43,
  "revenueMultiple": 2.15,
  "profitMultiple": 3.96,
  "foundedYear": 2023,
  "ageMonths": 41,
  "views": 177,
  "favorites": 5,
  "underAdvisory": true,
  "listedAt": "2026-10-21T15:18:41.185Z",
  "url": "https://app.acquire.com/startup/25VvztldoFUps1Ot9uyghDDNTh53/iB3sylAnBybl2qimGu2m",
  "publicUrl": "https://app.acquire.com/public/hv9rzot30c-ai-academic-research-platform-for-finding-credible-sources-and-generating-citations",
  "customers": "1000-5000",
  "team": "small",
  "churnRate": "10%+",
  "techStackKeywords": ["Vercel", "React", "TypeScript", "Node.js", "Python"],
  "businessModelKeywords": ["Business-to-consumer (B2C)", "Subscription", "Freemium"],
  "competitors": ["Elicit", "Consensus", "Scite", "ResearchRabbit", "SciSpace"],
  "financialSnapshot": {
    "entries": [{"type": "TTM", "revenue": 512635, "expenses": 235099, "netIncome": 277536, "sde": null}]
  },
  "scrapedAt": "2026-10-21T19:31:12.654Z"
}

💰 Pricing

You pay $4.00 per 1,000 listings ($0.004 per listing), plus platform usage (compute and datacenter proxy traffic), which we measured at well under one cent per 1,000 listings. Examples: 100 listings ≈ $0.40; the whole public marketplace (1,245 listings on 2026-10-21) ≈ $4.98. Runs that save nothing cost nothing in listing fees.

❓ FAQ

Is it legal to scrape Acquire.com? The actor reads only listings Acquire.com publishes without a login, the same data any visitor sees. Check Acquire.com's terms and your local laws for how you use the data.

Do I need an Acquire.com account, cookies or a proxy? No account or cookies. The built-in datacenter proxy is enough; if requests get refused, the run switches to residential exits by itself.

How many listings can I get? Every listing Acquire.com shows publicly, about 1,200 at the time of writing. Listings that are visible only to logged-in buyers are not included.

Why is a field empty? Sellers fill different parts of their listing. Multiples are empty when revenue or profit is 0 or missing; churn, tech stack and metrics are empty when the seller left them out.

Can I schedule it or use the API? Yes. Schedule a daily run with sortBy: newest and listedWithinDays: 1 to get new listings every day, and read the results through the API or an integration.

⚠️ Limits

• Only public listings (the ones in Acquire.com's public listing index, about 1,200). Listings shown only to logged-in buyers, seller contact details and data rooms are not covered.
• Revenue and profit are what the seller reported; the actor does not verify them.
• Filters and sorting apply to the public listing search. Pasted listing links are always scraped as given.
• Filters run on Acquire.com's own fields, so a listing with an empty field (for example no profit) does not match a filter on that field.