📊 BizBuySell Market Comps - Daily Intelligence for Business Brokers

Walk into every seller meeting with fresh comps and price with confidence.

💰 Pricing: $200/month flat rental

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🎯 Who This Is For

Independent brokers, boutique firms, and franchise brokerages who need a daily pulse on their territory without burning hours clicking through BizBuySell. The actor captures every publicly visible field from listings that match your market filters and delivers a clean comp feed for pricing, BOVs, and seller conversations.

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🧠 Why Brokers Use This (Outcomes, not features)

• Price right the first time – justify list price with same‑market, same‑category comps.
• Save 5–10 hours/week – stop manual searching and copy/paste.
• Be first to know – new listings and updates in your territory, delivered daily.
• Win mandates – bring a comp pack to the first conversation; set expectations with data.
• Coach sellers with proof – multiples, cash‑flow, and revenue comps on one sheet.

Broker math: One accurately priced listing that sells faster can pay for the tool many times over.

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Watch Video Demo

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🚀 Quick Start (Brokers)

1. Create your market search on BizBuySell Apply filters you already use (location, category, price range, keywords). Copy the search URL.
2. Paste search URLs into the actor Use one URL per territory (e.g., Phoenix Restaurants, Maricopa Service Businesses).
3. Name your dataset per territory Example: comps_phoenix_restaurants.
4. Schedule daily Run at 6:30 AM local time so the comp pack is ready before calls.
5. Export to Sheets/Excel or connect to CRM Create pivots for price/CF multiples, medians by category, and watch lists.

Sample input JSON

{
  "startUrls": [
    "https://www.bizbuysell.com/arizona-businesses-for-sale/phoenix-az/?q=industry:restaurants",
    "https://www.bizbuysell.com/business-brokers/maricopa-county-az/?q=industry:service"
  ],
  "datasetName": "comps_phoenix_daily",
  "maxResults": 2500
}

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📦 What You Get Every Morning

• Territory comp feed (CSV/Excel/JSON) with all visible fields from listing detail pages
• Consistent schema across runs for easy pivots and dashboards
• Change awareness when you compare today vs. yesterday (e.g., price differences)

Core fields extracted

• dateAdded
• title
• location
• state
• industryDetails
• price
• cashFlow
• revenue
• ebitda
• yearEstablished
• numberOfEmployees
• inventory
• furnitureFixturesEquipment
• reasonForSelling
• linkToDeal
• intermediaryName
• intermediaryFirm
• intermediaryPhone
• sellerType
• images (array of URLs)
• listingId

{
  "dateAdded": "2025-08-01",
  "title": "Established Juice and Smoothie Bar",
  "location": "Brooklyn, NY",
  "industryDetails": "Franchise store offering cold pressed juice, smoothies and acai bowls.",
  "price": 399000,
  "cashFlow": 202000,
  "revenue": 707112,
  "ebitda": 202000,
  "yearEstablished": 2021,
  "numberOfEmployees": 1,
  "inventory": "Included in asking price",
  "furnitureFixturesEquipment": "Included in asking price",
  "reasonForSelling": "Health-related concerns",
  "state": "NY",
  "linkToDeal": "https://www.bizbuysell.com/Business-Opportunity/established-juice-and-smoothie-bar/2250772/",
  "intermediaryName": "Paul Schlanger",
  "intermediaryFirm": "SFA Advisors",
  "intermediaryPhone": "561-717-0795",
  "sellerType": "agent",
  "images": [
    "https://images.bizbuysell.com/12345.jpg"
  ],
  "listingId": "2250772"
}

CSV columns dateAdded,title,location,state,industryDetails,price,cashFlow,revenue,ebitda,yearEstablished,numberOfEmployees,inventory,furnitureFixturesEquipment,reasonForSelling,linkToDeal,intermediaryName,intermediaryFirm,intermediaryPhone,sellerType,images,listingId

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🛠️ Broker Playbooks (copy & implement)

1) Listing Appointment Comp Pack (10 minutes)

• Export today’s dataset ➜ filter by your county + category
• Add columns: Price/CF multiple and Price/Revenue multiple
• Sort by closest cash‑flow and recently added
• Save as “Phoenix Restaurant Comps – Aug 11” and bring to the meeting

2) Weekly Pricing Review

• Pivot by category → median cash‑flow multiple
• Track weekly movement; flag outliers for price corrections

3) Seller Expectation Setting

• Share a one‑pager with 5–8 closest comps by cash‑flow
• Use asking‑price vs. revenue stance to discuss realistic ranges

4) Coverage Expansion

• Add a second saved search for adjacent counties or sub‑categories
• Keep datasets separate (e.g., comps_phx_restaurants, comps_phx_services)

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🔌 Integrations (popular broker setups)

• Google Sheets / Excel – live comp tabs for each territory
• Airtable – central source of truth with views by agent or county
• HubSpot / Salesforce – attach daily comp CSV to listing opportunities
• Slack / Email – 8 AM digest with “Top 20 new comps”

Tip: On Apify, open your run ➜ Integrations ➜ connect Sheets, Slack, or use Make/n8n for custom routes.

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🧾 Input Reference (simple)

Field	Required	Description
startUrls	✅	Array of BizBuySell search URLs representing your markets
datasetName	❌	Where results are stored; reuse the same name for easy comparisons
maxResults	❌	Optional cap to limit rows per run

Recommendation: Use one dataset per territory to keep comp history clean.

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📈 ROI Snapshot

• Time saved: 5–10 hrs/week per broker
• Cost: $200/month flat rental
• Impact: Faster sales cycles + fewer price reductions + stronger BOVs

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❓ FAQ (Broker‑specific)

How do I define “my market”? Whatever you already use with clients: county/metro + category + price/CF filters. Build that on BizBuySell and paste the search URL.

Can it run for multiple territories or agents? Yes - add multiple search URLs and separate datasets per territory or per agent.

Will it catch price changes? Yes - run on a consistent schedule and compare today’s dataset to yesterday’s. Create a simple Sheet formula to highlight differences.

How big of a search can I run? Use several scoped searches (by county or category) rather than one massive statewide search for better control and faster results.

Do I need proxies or code? No and no. Paste URLs, schedule, export.

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💡 Pro Tips

• Keep a “Top 50 Watchlist” tab for hot categories; review weekly.
• Sort by dateAdded to prioritize fresh comps for pricing conversations.
• Add conditional formatting for Price/CF multiple to spot over‑ and under‑priced listings fast.
• Name datasets predictably: comps_<market>_<category>.

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🔓 Ready to own your market comps?

Set up your first territory in minutes and get a daily comp pack before your first call. $200/month. Simple flat pricing.

Need help? We’ll set up your markets and dashboards for you - just ask.