Acquire Scraper - Startups & SaaS Businesses for Sale

What does Acquire Scraper do?

Acquire Scraper extracts structured company data from acquire.com — including full descriptions and prices. It supports keyword search and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions) where the source provides them.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 💵 Structured pricing: structured currency on every company — numbers you can sort and compare without parsing price text.
• 🏷️ Business type: businessType tells you what kind of startup each listing is (SaaS, app, e-commerce, ...).
• 🗂️ Category path: category place each company in acquire.com's own category tree.
• 🔍 Keyword search: search acquire.com by keyword with the query input.
• 🔗 Paste-mode: paste acquire.com URLs into startUrls to scrape exactly the pages you picked in the browser.
• 📋 Detail enrichment: two-stage scraping: first collect listings, then enrich each with the full description and detail-page-only fields. On by default (includeDetails: true) and required for the financial fields (asking price, TTM revenue/profit, multiples, tech stack); a listing whose detail page cannot be read is not emitted.
• ♻️ Incremental mode: recurring runs emit only listings that are new or updated, so a watchlist of businesses for sale stays fresh without re-reading every listing. Saves 80–95% on weekly syncs.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 📦 Compact mode: core fields only (headline, business type, asking price, URL), compact for AI-agent and MCP workflows.
• 🔌 MCP connectors: push your listings to a connected app via Apify's MCP connectors — a tidy run-summary page, no export step, no glue code. Opt-in, deterministic field-mapping (no AI). More destinations as Apify's connector catalog grows.
• 📌 Change classification: each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired.

What data can you extract from acquire.com?

Each result includes Core company fields (listingId, url, portalUrl, headline, businessType, location, askingPrice, and askingPriceText, and more) and detail fields when enrichment is enabled (listingDescription, description, sellingReasoningDetails, businessModelDetails, and detailFetched). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions where the source provides them.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Keyword matched against the words in the listing's title/URL slug (whole words, so "ai" does not match "email"), e.g. "saas", "ai", "ecommerce". Use "*" to browse every public listing. Use a JSON array for multiple searches, e.g. ["saas","ai"]. Required if no startUrls provided.
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• startUrls — Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by listing ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• includeDetails — Fetch full listing details. (default: true)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• includeRawData — Add the listing page's structured-data block as a rawData object to each record, for fields not mapped above. Needs full details on. (default: false)
• descriptionFormat — Pick a single description representation. all keeps every variant; text drops the HTML and Markdown variants. This actor only produces plain text, so html / markdown keep the plain description as well. (default: "all")
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• skipReposts — When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection). (default: false)
• ...and 15 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "saas",
  "maxResults": 50
}

Incremental tracking — Only emit companies that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "saas",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "saas-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "saas",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured company records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example company record

{
  "listingId": "knkzcieynh",
  "id": "knkzcieynh",
  "startupId": "knkzcieynh",
  "url": "https://app.acquire.com/public/knkzcieynh-ai-saas-that-finds-convert-customers-on-reddit-for-saas-apps-agencies-mobile-app-coming-soon",
  "portalUrl": "https://app.acquire.com/public/knkzcieynh-ai-saas-that-finds-convert-customers-on-reddit-for-saas-apps-agencies-mobile-app-coming-soon",
  "headline": "AI SaaS That Finds & Convert Customers on Reddit for SaaS, Apps & Agencies (Mobile App Coming Soon)",
  "title": "AI SaaS That Finds & Convert Customers on Reddit for SaaS, Apps & Agencies (Mobile App Coming Soon)",
  "businessType": "SaaS",
  "listingType": "SaaS",
  "category": "SaaS",
  "location": "Canada",
  "country": "Canada",
  "askingPrice": 1000,
  "askingPriceText": "$1k",
  "currency": "USD",
  "askingPriceReasoning": "✅ Phase 2 roadmap includes X (Twitter), LinkedIn support, AI-powered DM outreach.\n✅ Open to Offers\n✅ Fully built product with significant room to scale features, users, and revenue ✅ Post-sale develop...",
  "priceReasoning": "✅ Phase 2 roadmap includes X (Twitter), LinkedIn support, AI-powered DM outreach.\n✅ Open to Offers\n✅ Fully built product with significant room to scale features, users, and revenue ✅ Post-sale develop...",
  "profitMultiple": 0.4,
  "revenueMultiple": 0.3,
  "ttmRevenue": 4000,
  "ttmProfit": 2700,
  "lastMonthRevenue": 332,
  "lastMonthProfit": 221,
  "monthlyRevenue": 332,
  "financialSnapshot": {
    "ttmRevenue": 4000,
    "ttmProfit": 2700,
    "lastMonthRevenue": 332,
    "lastMonthProfit": 221
  },
  "annualGrowthRate": 90,
  "annualGrowthRateText": "+90%",
  "growthRate": 90,
  "arr": 4000,
  "arrText": "$4k",
  "customersCount": 10,
  "customers": "< 10",
  "churnRate": 0,
  "churnRateText": "0-1% downwards",
  "customerMetrics": {
    "customers": "< 10",
    "arr": "$4k",
    "churnRate": "0-1% downwards"
  },
  "dateFounded": "June 2026",
  "teamSize": "Small (2-20)",
  "businessModel": [
    "Subscription",
    "Business-to-business (B2B)",
    "Business-to-consumer (B2C)",
    "Agency-based"
  ],
  "techStack": [
    "TypeScript",
    "Vercel",
    "OpenAI",
    "React",
    "NextJS",
    "... 1 more items"
  ],
  "growthOpportunities": [
    "Increase content marketing",
    "Hire a sales team",
    "New product features",
    "Increase digital marketing",
    "Social media marketing"
  ],
  "competitors": [
    "Redship"
  ],
  "keyAssets": [
    "Codebase",
    "Trade names",
    "Website",
    "Patents",
    "Domain",
    "... 3 more items"
  ],
  "sellingReasoning": "Starting a new venture",
  "financing": "Bootstrapped",
  "listingDescription": "AI-powered Reddit marketing platform that helps SaaS companies, mobile apps, agencies, and startups find customers through Reddit. The platform monitors subreddits 24/7, tracks keywords and competitor...",
  "description": "AI-powered Reddit marketing platform that helps SaaS companies, mobile apps, agencies, and startups find customers through Reddit. The platform monitors subreddits 24/7, tracks keywords and competitor...",
  "plDocumentsCount": 1,
  "supportingFilesCount": 2,
  "hasGoogleAnalytics": false,
  "lastModified": "2026-10-19T09:47:47.605Z",
  "searchQuery": "saas",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-10-19T13:56:47.276Z",
  "source": "acquire.com"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape acquire.com

1. Go to Acquire Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract company data from acquire.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed companies on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape acquire.com?

Acquire Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.011 per company record

Example costs:

• 10 results: $0.12
• 25 results: $0.29
• 100 results: $1.14
• 200 results: $2.26
• 500 results: $5.63

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of companies that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 companies per run, daily polling (30 runs/month). Costs scale linearly with the number of companies.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$2.82	$0.15	$2.67 (95%)	$4.52
15% — moderate broad query	$2.82	$0.43	$2.39 (85%)	$12.96
30% — high-volume aggregator	$2.82	$0.85	$1.97 (70%)	$25.61

Full re-scrape monthly cost at the same cadence: $84.67. First month with incremental costs $7.19 / $15.35 / $27.58 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from acquire.com?

The number of results depends on the search query and available companies on acquire.com. Use the maxResults parameter to control how many results are returned per run.

Does Acquire Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed companies on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Acquire Scraper with other apps?

Yes. Acquire Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Acquire Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Acquire Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape acquire.com?

This actor extracts publicly available data from acquire.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on acquire.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Acquire's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Acquire or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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