Acquire Startup Listings Extractor: Scrape Startups for Sale from Acquire.com

Acquire Startup Listings Extractor is an Acquire.com scraper that turns the startup marketplace into structured data. For every public listing it collects the asking price, TTM revenue and profit, valuation multiples, growth rate, customer metrics, tech stack, and the reason the founder is selling. You don't need an Acquire.com account, cookies, or a browser extension.

Acquire.com usually has about 1,200 startups for sale at any moment, and the list changes every day. Reading them one at a time is slow, and comparing them in a spreadsheet is worse. This actor does the collecting for you, so you can sort by revenue multiple, filter by business type, and get new deals in Google Sheets, Slack, or your CRM on a schedule.

What is Acquire.com?

Acquire.com (formerly MicroAcquire) is one of the largest marketplaces for buying and selling bootstrapped and venture-backed startups. Founders list SaaS products, ecommerce stores, mobile apps, agencies, AI tools, newsletters, and Shopify apps, usually priced from a few thousand dollars up to several million. Each listing shows headline financials publicly, while the seller's identity and data room stay private until a buyer requests access.

Why use this Acquire.com scraper?

• No login needed. It reads only what Acquire.com shows publicly, so there's no session export, cookie copying, or account risk.
• Financials as numbers, not text. $1.2M becomes 1200000 and +974% becomes 974, so you can sort and chart straight away.
• Filter before you pay. Type, price, revenue, profit, and keyword filters run inside the actor. Listings you don't want never reach your dataset.
• Fresh deals first. The default Newest First order starts with the most recently updated listings, which suits daily monitoring.
• Built for cost control. Max Items, a run timeout, and a per-request timeout keep every run predictable.

What data does it extract?

Group	Fields
Listing	listingId, url, headline, businessType, location, lastModified
Price and valuation	askingPrice, askingPriceText, currency, profitMultiple, revenueMultiple, askingPriceReasoning
Financial performance	ttmRevenue, ttmProfit, lastMonthRevenue, lastMonthProfit, annualGrowthRate
Customer metrics	arr, customersCount, churnRate, plus everything shown on the listing in customerMetrics (downloads, MAU, app store rating, SKUs, inventory value and more)
Company overview	dateFounded, teamSize, businessModel, techStack, growthOpportunities, competitors, keyAssets
Acquisition details	sellingReasoning, financing
Content and documents	listingDescription, plDocumentsCount, supportingFilesCount, hasGoogleAnalytics
Run info	scrapedAt

The startup's real name, seller contact details, private financials, and data room files are locked on Acquire.com for signed-in buyers, so this actor doesn't return them.

Supported business types

Pick one in the Type dropdown, or leave it on All. Approximate share of the marketplace in September 2026:

Type	Share of listings
SaaS	about 48%
Ecommerce	about 17%
Mobile App	about 10%
Agency	about 6%
AI	about 5%
Marketplace	about 3%
Other, Content, Digital, Shopify App	about 2% to 3% each
Newsletter, Crypto	under 1% each

Use cases

• Deal sourcing for acquirers: pull every startup for sale into one table and shortlist targets by price, revenue, and growth.
• Valuation benchmarking: compare revenue and profit multiples across SaaS, ecommerce, and mobile to see what similar businesses ask for.
• Daily deal alerts: schedule a run every morning with Newest First and send new listings to Slack, email, or Google Sheets.
• Investor and fund research: track which categories, tech stacks, and business models are coming to market and at what prices.
• Brokers and M&A advisors: build a searchable database of startups for sale for client matching.
• Newsletters and content creators: find interesting startups for sale for a weekly deals roundup.

How to use it

1. Open the actor in Apify Console and go to the Input tab.
2. Set Max Items to the number of listings you want (the default is 10).
3. Choose an Order: Newest First, Oldest First, or Marketplace Order.
4. Choose a Type, or keep All.
5. Optionally open Filters to set a price range, minimum TTM revenue or profit, or keywords.
6. Click Start. Results appear in the Output tab within a minute or two for typical runs.
7. Download the data as JSON, CSV, Excel, XML, or HTML, or connect an integration.

Input

Field	Key	Type	Default	Description
Max Items	maxItems	integer	10	Maximum number of listings to save (1 to 1,000). Skipped listings don't count.
Order	order	string	newest	newest (Newest First), oldest (Oldest First), or default (Marketplace Order). Based on each listing's last update time.
Type	businessType	string	all	all, saas, ecommerce, mobile, agency, ai, marketplace, content, digital, shopify app, newsletter, crypto, or other.
Keywords	keywords	array	empty	Keep listings whose headline or description contains at least one of these words.
Min Asking Price (USD)	minPrice	integer	none	Skip listings priced below this amount.
Max Asking Price (USD)	maxPrice	integer	none	Skip listings priced above this amount.
Min TTM Revenue (USD)	minTtmRevenue	integer	none	Skip listings with lower trailing twelve month revenue.
Min TTM Profit (USD)	minTtmProfit	integer	none	Skip listings with lower trailing twelve month net profit.
Listing URLs	startUrls	array	empty	Scrape only these listing URLs. Order and Type are ignored when this is set.
Max Concurrency	maxConcurrency	integer	10	Listing pages fetched in parallel (1 to 50).
Run Timeout (seconds)	timeoutSecs	integer	300	The run stops fetching after this many seconds and keeps what it saved.
Request Timeout (seconds)	requestTimeoutSecs	integer	30	Timeout for each HTTP request.
Proxy configuration	proxyConfiguration	object	Datacenter (Anywhere)	Proxy type and location for requests. Supports Datacenter, Residential, Special, and custom proxies. Optional.

When a price, revenue, or profit filter is set, listings that don't show that value publicly are skipped.

Example: latest 10 listings of any type

{
    "maxItems": 10,
    "order": "newest",
    "businessType": "all"
}

Example: profitable SaaS under $500k

{
    "maxItems": 100,
    "order": "newest",
    "businessType": "saas",
    "maxPrice": 500000,
    "minTtmProfit": 20000,
    "proxyConfiguration": { "useApifyProxy": true }
}

Example: AI startups mentioning "subscription"

{
    "maxItems": 50,
    "businessType": "ai",
    "keywords": ["subscription", "recurring"]
}

Example: refresh specific listings

{
    "startUrls": [
        "https://app.acquire.com/public/oa2pfifwmk-b2c-speech-therapy-app-for-kids-5-000-customers-300k-arr-974-growth"
    ]
}

Output

Each startup listing becomes one dataset item. Here's a real example, shortened a little:

{
    "listingId": "oa2pfifwmk",
    "url": "https://app.acquire.com/public/oa2pfifwmk-b2c-speech-therapy-app-for-kids-5-000-customers-300k-arr-974-growth",
    "headline": "B2C Speech Therapy App for Kids, 5,000+ Customers, $300K ARR, 974% Growth",
    "businessType": "Mobile",
    "location": "Cyprus",
    "askingPrice": 100000,
    "askingPriceText": "$100k",
    "currency": "USD",
    "profitMultiple": 1.2,
    "revenueMultiple": 0.3,
    "annualGrowthRate": 974,
    "ttmRevenue": 351000,
    "ttmProfit": 80600,
    "lastMonthRevenue": 15400,
    "lastMonthProfit": 10700,
    "arr": null,
    "customersCount": 5000,
    "churnRate": null,
    "customerMetrics": {
        "totalDownloads": null,
        "monthlyActiveUsers": null,
        "appStoreRating": null,
        "payingUsers": "5,000+"
    },
    "dateFounded": "March 2025",
    "teamSize": "Small (2-20)",
    "businessModel": ["Subscription", "Business-to-consumer (B2C)"],
    "techStack": ["React Native"],
    "growthOpportunities": ["Improve conversion rates", "Expand to new markets", "Increase pricing"],
    "competitors": ["Speech Blubs", "Keiki"],
    "keyAssets": ["Mobile application", "Domain", "Brand", "Codebase", "Customers"],
    "sellingReasoning": "Lack of time",
    "financing": "Bootstrapped",
    "listingDescription": "This is a fast-growing speech therapy platform helping parents build children's language skills...",
    "askingPriceReasoning": "Profitable subscription app with a tested funnel, validated cohort retention, and a clean handover...",
    "plDocumentsCount": 1,
    "supportingFilesCount": 0,
    "hasGoogleAnalytics": false,
    "lastModified": "2026-09-23T05:50:10.091Z",
    "scrapedAt": "2026-09-24T09:30:27.614394+00:00"
}

Output fields

Field	Type	Description
listingId	string	Unique listing ID from the URL
url	string	Public listing URL
headline	string	Seller-written headline
businessType	string	SaaS, Ecommerce, Mobile, Agency, AI, Marketplace, Content, Digital, Shopify App, Newsletter, Crypto, or Other
location	string	Country of the startup
askingPrice	number	Asking price in USD
askingPriceText	string	Asking price as displayed, e.g. $1.2M
currency	string	Currency of the asking price
profitMultiple	number	Asking price divided by TTM net profit
revenueMultiple	number	Asking price divided by TTM gross revenue
annualGrowthRate	number	Year-over-year revenue growth in percent
ttmRevenue	number	Trailing twelve month gross revenue in USD
ttmProfit	number	Trailing twelve month net profit in USD (can be negative)
lastMonthRevenue	number	Last month's gross revenue in USD
lastMonthProfit	number	Last month's net profit in USD
arr	number	Annual recurring revenue in USD, when shown
customersCount	number	Customers or paying users (lower bound when the listing shows a range like 1,000-5,000)
churnRate	number	Churn rate in percent, when shown
customerMetrics	object	Every customer metric on the listing, as displayed
dateFounded	string	Month and year founded
teamSize	string	Team size bracket
businessModel	array	Business model tags, e.g. Subscription, B2B
techStack	array	Technologies the product uses
growthOpportunities	array	Growth ideas listed by the seller
competitors	array	Competitors named by the seller
keyAssets	array	Assets included in the sale
sellingReasoning	string	Why the founder is selling
financing	string	How the startup was financed
listingDescription	string	Full listing description
askingPriceReasoning	string	Seller's explanation of the price
plDocumentsCount	integer	Number of P&L documents attached
supportingFilesCount	integer	Number of supporting files attached
hasGoogleAnalytics	boolean	Whether Google Analytics traffic data is connected
lastModified	string	When the listing was last updated on Acquire.com
scrapedAt	string	When the record was scraped

If a URL you passed in Listing URLs was removed or fails to load, you get a row with url and error instead. Nothing disappears silently.

Dataset views

The Output tab has three ready-made table views:

• Overview: headline, type, location, price, revenue, profit, growth, and multiples
• Financials: price, TTM and last-month numbers, ARR, customers, churn, and growth
• Company details: founded date, team size, business model, tech stack, key assets, selling reason, and financing

Scheduling and deal alerts

To get new startups for sale every day:

1. Save your input as a task (for example Type set to SaaS and a price range).
2. In Apify Console, open Schedules and run the task daily with Order set to Newest First.
3. Add an integration to the task: Google Sheets to append rows, Slack or email to get a message, or a webhook to push results into your CRM.

Because Newest First starts with recently updated listings, a small Max Items (20 to 50) is usually enough for a daily check.

Performance and cost

• The actor processes about 8 to 10 listings per second at the default settings, so 500 listings take roughly a minute and the whole marketplace (about 1,200 listings) about two to three minutes.
• A default run (10 listings, all types) finishes in a few seconds.
• The default memory is 512 MB. Very low memory (128 MB) gives the run only a small slice of CPU and slows it down a lot, so keep 512 MB or more.
• The actor watches the run timeout set in Run options and stops a few seconds before it, so the run always ends as Succeeded with everything saved so far.
• With a narrow filter such as Shopify App, the actor may check a few hundred listings to find matches. Only matches are saved, so your dataset stays small.
• Max Items, Run Timeout, and Request Timeout cap how long any run can take.

Tips

• Start with the defaults to see the data shape, then add filters.
• Use Min TTM Revenue or Min TTM Profit to drop idea-stage and pre-revenue listings.
• Sort the Overview view by revenueMultiple to spot listings priced low compared with their revenue.
• If you see request errors on large runs, lower Max Concurrency or switch the proxy to Residential.

Limitations

• Only publicly visible data is extracted. Startup names, seller details, private metrics, and data rooms need a signed-in Acquire.com buyer account and are not included.
• Sellers choose which metrics to show, so arr, churnRate, and customersCount are empty on some listings.
• Some customer counts are shown as ranges. customersCount holds the lower bound and customerMetrics keeps the original text.
• The Order setting is based on when a listing was last updated, which is not always the date it was first listed.
• Up to 1,000 listings per run. Use two runs with different Types or Orders to cover the full marketplace.

FAQ

Do I need an Acquire.com account to use this scraper? No. The actor only reads information Acquire.com shows publicly on each listing page.

How many startup listings can I get per run? Up to 1,000. The marketplace usually has around 1,200 public listings.

Can I get only SaaS startups under a certain price? Yes. Set Type to SaaS and Max Asking Price to your budget. Add Min TTM Profit to skip unprofitable ones.

Why are ARR and churn empty for some listings? Each seller picks which metrics to display. Ecommerce listings usually show SKUs and inventory value, and mobile apps show downloads and paying users. Everything shown is kept in customerMetrics.

How often is the data updated? Every run fetches live data from Acquire.com. Schedule the actor to keep your dataset current.

Is it legal to scrape Acquire.com? The actor collects only publicly available business listing data and no personal information. You are responsible for how you use the data. Check Acquire.com's terms and the laws that apply to you, and get legal advice if you're unsure.

Can I export to Excel or Google Sheets? Yes. Download as CSV or Excel from the Output tab, or use the Google Sheets integration to append rows after every run.

Integrations

Connect Acquire Startup Listings Extractor with other apps and services using Apify integrations. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and many more. You can also use webhooks to trigger actions whenever results are available.

Support and feedback

Found a bug, a missing field, or a listing that didn't parse correctly? Open an issue on the actor's Issues tab in Apify Console and include the listing URL. Feature requests are welcome too.

If you buy, broker, or research online businesses, this Acquire.com scraper turns the marketplace into a spreadsheet you can sort, filter, and check every morning.