Acquire.com Startup Acquisition Listings Scraper

Scrape startup and SaaS acquisition listings from Acquire.com — the leading marketplace for buying and selling online businesses. No account or API key required.

~1,300 active listings available. Updated daily from the public sitemap.

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What you get

For each listing the actor returns:

Field	Source	Notes
listing_id	URL slug	Short alphanumeric ID (e.g. b2dtmgraxt)
url	Canonical URL	https://app.acquire.com/startup/{id}-{slug}
title	JSON-LD name	Full listing title as written by the seller
description	JSON-LD description	Multi-paragraph description (often 200–600 words)
business_type	JSON-LD category	e.g. SaaS, Ecommerce, Marketplace, Newsletter, Agency
asking_price	JSON-LD offers.price	USD; null if the seller chose not to disclose
categories	Derived	[business_type] array for consistency
arr	—	null — requires authenticated access (see note below)
mrr	—	null — requires authenticated access
annual_profit	—	null — requires authenticated access
age_months	—	null — requires authenticated access
tech_stack	—	null — requires authenticated access
team_size	—	null — requires authenticated access
verified	—	null — requires authenticated access
status	—	null — requires authenticated access

Important: what is and isn't available

Acquire.com is a Firebase SPA. All financial metrics (ARR, MRR, profit) and operational details are stored in Firestore behind Firebase authentication. They are not present in any public HTTP response and cannot be scraped without a logged-in session.

What this actor extracts is drawn from two sources that the platform exposes server-side for SEO:

1. JSON-LD Product schema — injected by the Cloud Function serving each app.acquire.com/startup/* page. Contains the full title, long description, business category, and asking price.
2. Public sitemap — https://app.acquire.com/sitemap.xml lists all active listing URLs.

For buyers needing full deal metrics (ARR, MRR, age, team size), the practical path is to sign up for a free Acquire.com buyer account, which unlocks the full listing cards in the authenticated app.

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Example output

{
  "url": "https://app.acquire.com/startup/fqvlev4ixs-micro-influencer-campaign-saas-audience-insights-gifting-real-time-analytics",
  "listing_id": "fqvlev4ixs",
  "title": "Micro-Influencer Campaign SaaS — Audience Insights, Gifting & Real-Time Analytics",
  "description": "This is an easy-to-use influencer marketing platform that connects brands with micro-influencers to run product seeding campaigns...",
  "business_type": "Marketplace",
  "asking_price": 28000,
  "arr": null,
  "mrr": null,
  "annual_profit": null,
  "age_months": null,
  "tech_stack": null,
  "team_size": null,
  "categories": ["Marketplace"],
  "verified": null,
  "status": null
}

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Input

Field	Type	Required	Description
maxListings	integer	No	Max listings to return (default: 50). The sitemap has ~1,300 active listings.
businessTypes	string list	No	Filter by type — e.g. ["SaaS", "Newsletter"]. Leave empty for all types.
minPrice	integer	No	Minimum asking price in USD. Listings with undisclosed price are excluded.
maxPrice	integer	No	Maximum asking price in USD.
proxyConfiguration	object	No	Apify Proxy config. Datacenter proxies are sufficient.

Common business type values

SaaS, Ecommerce, Marketplace, Newsletter, Agency, Mobile App, Shopify App, Content Website, Amazon FBA, Dropshipping, AI

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Pricing

Charged $0.10 per listing returned via the Apify Pay-Per-Event model — you only pay for successful results that pass your filters.

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Use cases

• Deal sourcing — build your own acquisition pipeline with daily-fresh listing data filtered to your target criteria
• Market sizing — how many SaaS listings are priced under $500K? What business types dominate the marketplace?
• Competitive intelligence — track asking prices and new entrants in a specific category over time
• CRM enrichment — bulk-pull descriptions to categorise listings with AI before engaging on the platform
• VC / PE screening — identify off-market-quality businesses selling at self-serve prices

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Technical notes

How scraping works

1. The actor fetches the public sitemap (app.acquire.com/sitemap.xml) to discover all active listing URLs.
2. For each URL, it fetches the listing page and extracts the server-injected application/ld+json Product schema.
3. Filters (business type, price range) are applied after extraction.
4. Results are pushed to the Apify dataset and charged per item.

Rate limiting

Acquire.com listing pages are served by Google Cloud Functions with caching headers (cache-control: public, max-age=3600). The actor runs with a concurrency of 5 parallel requests by default, which keeps well within polite limits. Each run of 50 listings completes in approximately 30–60 seconds.

Page structure

The listing detail pages at app.acquire.com/startup/* are a Vite SPA shell. The Firebase app itself requires authentication to render any meaningful content in-browser. However, the Cloud Function that serves the HTML shell does inject server-side SEO metadata into the HTML <head> before sending the response — this is what the actor extracts. No JavaScript execution is required.

Sitemap freshness

The sitemap is updated daily and reflects currently-active listings. Listings that have been sold, withdrawn, or moved to draft are removed from the sitemap. The lastmod timestamp in the sitemap indicates when each listing was last updated.

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