💼 BizQuest Scraper

🚀 Pull US business-for-sale listings from BizQuest in minutes. Asking price, cash flow, financials, broker contacts, industry, location. No API key, no manual CSV wrangling.

🕒 Last updated: 2026-05-08 · 📊 38 fields per listing · 🔍 Location, industry, price, cash flow filters · 🚫 No auth required

Pull live business-for-sale listings from BizQuest, one of the largest US business marketplaces. The actor walks the BizQuest catalog with your filter combination, paginates through results, and returns one structured record per listing ready for acquisition research, broker prospecting, deal flow tracking, or comp analysis.

Every run fetches data live so you get the current state of BizQuest, not a stale dump. Records include asking price, cash flow (SDE), gross income, broker contact info, industry, location detail down to ZIP and street address, business type flags (home-based, absentee-owner, franchise, financing available), and the listing date.

👥 Built for	🎯 Primary use cases
Business buyers and search funds	Track new acquisition opportunities daily
Business brokers	Monitor competitor inventory and pricing
M&A advisors	Build deal flow lists by industry and geography
Lenders and SBA partners	Source qualified financing leads
Researchers and journalists	Map US small-business transaction trends
Lead-gen and CRM teams	Build broker outreach prospect lists

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📋 What the BizQuest Scraper does

• 💰 Pricing. Asking price, cash flow (SDE), and gross income with the values BizQuest displays.
• 📍 Location detail. State, county, city, ZIP, and street address where exposed.
• 🏷️ Industry and type. Industry classification, business type, year established, employee count.
• 👤 Broker contact. Broker name, company, phone, email plus the TPN forwarding number.
• 🏠 Listing flags. Home-based, absentee-owner, franchise, relocatable, hot property, financing available, real estate included.
• 🖼️ Image and description. Primary listing image plus full text description, facilities, support, FFE.

The scraper accepts location and industry filters (free-text), price range, cash-flow range, and a listing-age cutoff. It walks BizQuest result pages with your filter combination, fetches each detail page, and pushes the structured record to the dataset.

💡 Why it matters: BizQuest has the largest pool of small-business-for-sale listings in the US but the site is paginated and rate-limited. A live, structured pull beats manual scraping for buyer research, broker prospecting, and deal-flow monitoring.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
location	string	Location	Optional state or city filter. Examples: California, New York, Texas.
industry	string	Industry	Optional industry filter. Examples: Restaurant, Retail, Manufacturing, Technology.
priceMin	integer	Minimum Price	Optional minimum asking price in USD.
priceMax	integer	Maximum Price	Optional maximum asking price in USD.
cashFlowMin	integer	Minimum Cash Flow	Optional minimum cash flow (SDE) in USD.
cashFlowMax	integer	Maximum Cash Flow	Optional maximum cash flow (SDE) in USD.
dateListingAdded	integer	Listing Age (Days)	Optional. Only include listings added in the last N days (e.g. 7, 30, 90).
forceAllFilters	boolean	Force All Filters	When true, listings must match ALL filters (AND logic). Default true.

Example 1. California restaurants, $250K-$1M asking price.

{
  "location": "California",
  "industry": "Restaurant",
  "priceMin": 250000,
  "priceMax": 1000000,
  "maxItems": 50
}

Example 2. Texas manufacturing businesses with $300K+ cash flow listed in last 30 days.

{
  "location": "Texas",
  "industry": "Manufacturing",
  "cashFlowMin": 300000,
  "dateListingAdded": 30,
  "maxItems": 100
}

⚠️ Good to Know: when forceAllFilters is true, only listings that satisfy every filter are returned. Set it to false to fall back to BizQuest's default behavior.

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📊 Output

The dataset returns one structured record per business listing. Each record carries identifiers, full pricing, location detail, broker contact, industry classification, and listing metadata. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string (url)	https://www.bizquest.com/images/listing/12345.jpg
🆔 businessId	string	BQ-12345678
📝 title	string	Established Italian Restaurant in Sonoma County
💰 askingPrice	string	$485,000
💵 cashFlow	string	$152,000
💵 grossIncome	string	$1,200,000
📍 location	string	Sonoma County, CA
🏙️ city	string	Sonoma
📍 state	string	CA
🏷️ county	string	Sonoma
📮 zip	string	95476
🏠 streetAddress	string	123 Main St
🏷️ industry	string	Food & Beverage / Restaurant
🏷️ businessType	string	Asset Sale
👥 employees	string	12 FT, 8 PT
🗓️ yearEstablished	string	1998
🏠 homeBased	string	No
👔 absenteeOwner	string	No
🏪 isFranchise	string	No
🚚 relocatable	string	No
🔥 hotProperty	string	Yes
💳 financingAvailable	string	Yes - SBA Pre-Qualified
🏠 includesRealEstate	string	Real Estate Available Separately
📦 inventoryIncludedInAskingPrice	string	Yes
📐 buildingSquareFeet	string	3,200
👁️ profileViews	string	1,847
👤 brokerName	string	John Smith
🏢 brokerCompany	string	ABC Business Brokers
📞 brokerPhone	string	+1 707 555 1212
📧 brokerEmail	string	john@abcbiz.com
📞 tpnPhone	string	+1 800 555 1234
☎️ tpnPhoneExt	string	1234
📝 description	string	Profitable family-style restaurant with...
🏬 facilities	string	3,200 sqft dining room + commercial kitchen
🤝 support	string	2 weeks of seller training included
🛠️ ffe	string	$120,000 furniture, fixtures, equipment
🔗 listingUrl	string (url)	https://www.bizquest.com/business-for-sale/...
📅 listingDate	ISO datetime	2026-04-12T00:00:00.000Z
📅 scrapedTimestamp	ISO datetime	2026-05-08T12:00:00.000Z

📦 Sample records

1. Typical record (restaurant for sale)

{
  "imageUrl": "https://www.bizquest.com/images/listing/12345.jpg",
  "businessId": "BQ-12345678",
  "title": "Established Italian Restaurant in Sonoma County",
  "askingPrice": "$485,000",
  "cashFlow": "$152,000",
  "grossIncome": "$1,200,000",
  "location": "Sonoma County, CA",
  "city": "Sonoma",
  "state": "CA",
  "county": "Sonoma",
  "zip": "95476",
  "industry": "Food & Beverage / Restaurant",
  "businessType": "Asset Sale",
  "employees": "12 FT, 8 PT",
  "yearEstablished": "1998",
  "homeBased": "No",
  "absenteeOwner": "No",
  "isFranchise": "No",
  "financingAvailable": "Yes - SBA Pre-Qualified",
  "buildingSquareFeet": "3,200",
  "brokerName": "John Smith",
  "brokerCompany": "ABC Business Brokers",
  "brokerPhone": "+1 707 555 1212",
  "brokerEmail": "john@abcbiz.com",
  "description": "Profitable family-style restaurant with strong local following...",
  "listingUrl": "https://www.bizquest.com/business-for-sale/established-italian-restaurant/12345678/",
  "listingDate": "2026-04-12T00:00:00.000Z",
  "scrapedTimestamp": "2026-05-08T12:00:00.000Z"
}

2. Home-based business (sparse fields)

{
  "businessId": "BQ-22334455",
  "title": "Online Curriculum Business with Recurring Revenue",
  "askingPrice": "$120,000",
  "cashFlow": "$48,000",
  "grossIncome": "$95,000",
  "location": "Anywhere USA",
  "industry": "Education",
  "businessType": "Asset Sale",
  "employees": "1 FT (owner)",
  "homeBased": "Yes",
  "relocatable": "Yes",
  "isFranchise": "No",
  "brokerName": "Jane Doe",
  "brokerCompany": "Online Biz Brokers",
  "listingUrl": "https://www.bizquest.com/business-for-sale/online-curriculum/22334455/",
  "listingDate": "2026-05-01T00:00:00.000Z",
  "scrapedTimestamp": "2026-05-08T12:00:00.000Z"
}

3. Hot listing with real estate (full record)

{
  "imageUrl": "https://www.bizquest.com/images/listing/77889900.jpg",
  "businessId": "BQ-77889900",
  "title": "Profitable Auto Service Center with Real Estate",
  "askingPrice": "$1,950,000",
  "cashFlow": "$420,000",
  "grossIncome": "$2,800,000",
  "location": "Dallas, TX",
  "city": "Dallas",
  "state": "TX",
  "zip": "75201",
  "industry": "Automotive / Service",
  "yearEstablished": "1985",
  "employees": "9 FT",
  "hotProperty": "Yes",
  "financingAvailable": "Yes",
  "includesRealEstate": "Real Estate Included in Asking Price",
  "buildingSquareFeet": "8,400",
  "brokerName": "Mike Johnson",
  "brokerCompany": "Texas Business Advisors",
  "brokerPhone": "+1 214 555 9876",
  "listingUrl": "https://www.bizquest.com/business-for-sale/auto-service/77889900/",
  "listingDate": "2026-04-25T00:00:00.000Z",
  "scrapedTimestamp": "2026-05-08T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to BizQuest so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects BizQuest as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured deal-flow data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ BizQuest Scraper (this Actor)	$5 free credit, then pay-per-use	Full BizQuest catalog	Live per run	Location, industry, price, cash flow, age	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid M&A databases	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Manual broker outreach	Time-intensive	Limited	Stale	Phone calls	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the BizQuest Scraper page on the Apify Store.
3. 🎯 Set filters. Pick a location, industry, price range, and cash-flow range, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Buy-side acquisition Build deal flow lists matched to your investment thesis Track new listings in target industries daily Filter by SBA-prequalified financing availability Identify motivated sellers via listing-age signals	🏢 Sell-side and brokerage Monitor competitor listings and pricing in your market Build comp sets for valuation discussions Spot pricing trends by industry and geography Track days-on-market and absorption
🎯 Lead-gen and BD Source business-broker contact data for outreach Build prospect lists for lenders, accountants, attorneys Identify owners using listing-age and "hot property" flags Power CRM enrichment for SMB-focused services	🛠️ Engineering and product Prototype M&A and deal-flow products without owning a crawler Replace fragile in-house BizQuest scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating BizQuest Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to run hourly, daily, or weekly snapshots. Combine with the Apify dataset diff tools to track new, updated, or removed listings between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test BizQuest Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running BizQuest Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running BizQuest Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using BizQuest Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run BizQuest Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use BizQuest Scraper?

Yes. BizQuest Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

BizQuest Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend or alert your team in Slack.

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🔗 Recommended Actors

• 🏢 BizBuySell Scraper - Competitor business-for-sale marketplace listings
• 🏪 LoopNet Scraper - Commercial real estate listings with prices and locations
• 🚙 Cars and Bids Scraper - Auction listings with bid history and vehicle specs
• 🏘️ Auction.com Property Scraper - Foreclosure and auction property listings
• 📋 SEC EDGAR Full-Text Search Scraper - U.S. SEC filings full-text search

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by BizQuest or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.