Vet Practice M&A Targets — buyer-mapped acquisition leads avatar

Vet Practice M&A Targets — buyer-mapped acquisition leads

Pricing

from $1,000.00 / 1,000 qualified vet practice (score ≥ 7)s

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Vet Practice M&A Targets — buyer-mapped acquisition leads

Vet Practice M&A Targets — buyer-mapped acquisition leads

50-state US vet practice acquisition leads. Each scored 1-10 on M&A readiness, mapped to its most likely PE buyer (NVA / VetCor / BluePearl / Mars / Regional). ~14K independent clinics. Pay-per-result. The only vet-vertical M&A actor on Apify Store.

Pricing

from $1,000.00 / 1,000 qualified vet practice (score ≥ 7)s

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KazKN

KazKN

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🐾 Vet Practice M&A Targets — buyer-mapped acquisition leads

The Apify Actor for veterinary private equity acquisition teams. Delivers scored, PE-buyer-mapped vet practice acquisition leads across all 50 US states + DC in one run — ~14,000 independent veterinary clinics, ranked 1-10 on M&A readiness, with confidence-scored acquirer mapping (NVA / VetCor / BluePearl / Mars / Regional PE).

Sample dataset output — vet practice M&A targets scored 1-10 and PE-buyer-mapped


🎯 What does this Actor do?

This actor finds independent veterinary practices that are likely acquisition targets for private-equity-backed vet rollups, and scores each one on how "ready" it is to sell.

In a single run you get:

  • Practice name + full street address for thousands of US vet clinics
  • M&A readiness score (1-10) based on chain status, website presence, name pattern, location, opening hours
  • PE buyer match — which acquirer (NVA / VetCor / BluePearl / Mars / Regional) is most likely to bid, with confidence + reasoning
  • Chain exclusion — already-acquired clinics (VCA, Banfield, NVA, VetCor, BluePearl, Ethos) are flagged out automatically
  • Lat/lon, phone, website when available in OpenStreetMap
  • Optional Google Maps + Yelp enrichment for rating/review context; Yelp uses the official Yelp Fusion API when you supply a key
  • All 50 states + DC coverage day-1 via one federated OSM Overpass query

The input is dead simple — just pick which states to scan. Run it on the prefilled 5-state defaults (FL/TX/CA/NY/IL) to see your first 150 leads in under 2 minutes.


💼 Why veterinary private equity teams use this actor

The US veterinary market is in the middle of a decade-long private equity consolidation wave. ~25% of US vet practices are now corporate-owned, up from ~10% in 2017. Five buyer groups drive 80% of dealflow:

The 5 PE acquirer profiles mapped by the actor

  • 🏢 NVA (JAB Holdings) — 1500+ hospitals
  • 🏥 VetCor (Oak Hill Capital) — 850+ practices
  • 💙 BluePearl / Ethos (Mars Petcare) — specialty / 24-hr / emergency
  • 🐾 Mars Direct (VCA + Banfield) — 2000+ multi-location
  • 🌎 Regional PE rollups — Innovetive, Pathway, Thrive, Compassion First, Vetnique, etc.

For PE associates, corporate development teams, and search funds, the bottleneck is finding the right targets. Grata charges $50K-$150K/year for a generic M&A target database covering every industry. For a vet-vertical PE rollup, that's 90% features you don't use, at 5x the price.

This actor is purpose-built for the vet vertical, at ~1/5 the cost of Grata, with:

  • Federation across OpenStreetMap → 14K US vet clinics in one query (vs scraping 100+ state portals)
  • Proprietary buyer-mapping algorithm trained on the 5 major rollup playbooks
  • M&A readiness scoring tuned to the signals PE associates actually act on
  • Pay-per-event pricing — you pay $0.20 per borderline lead, $1.00 per qualified, $5 per state refresh

What a high-priority target looks like

Close-up of a qualified target — score 9, ready for buyer outreach

A high score means the practice has stronger acquisition signals such as specialty / emergency positioning, multi-vet naming patterns, full address data, website presence, and a buyer profile match.


🔧 How to scrape vet practice acquisition data — 3-step tutorial

Step 1 — Pick your states

Default is FL/TX/CA/NY/IL — the top 5 M&A markets. Add or remove via the "States to scan" field. All 50 states + DC are supported day-1 via OpenStreetMap.

Input form — pick which US states to scan

Step 2 — (Optional) Set filters

Restrict to a specific buyer profile (NVA-fit, VetCor-fit, BluePearl-fit, Mars-fit, Regional-fit) or raise the minimum readiness score to qualified-only ($1.00/lead). refreshMode: "delta" is reserved for v0.2; v0.1 always runs a full OSM scan.

Optional filters — buyer match + refresh mode

Step 3 — Click Start

Results stream into the dataset as the actor scans each state. A 5-state run finishes in ~2 minutes; full 50-state run in ~8 minutes.

You can download the dataset in JSON, CSV, Excel, XML, HTML Table, RSS, or JSONL via the Apify Console or API.

Export dataset — 7 formats, filter by view, shareable link

How to integrate with your CRM

Use Apify's built-in integrations to push results directly into HubSpot, Salesforce, Pipedrive, Google Sheets, Airtable, or Slack. Or hit the Apify API with your CRM's webhook handler. See the Integrations section below.

How to schedule weekly runs

Apify Schedules let you re-run the actor weekly or monthly to keep your pipeline fresh. Delta refresh is reserved for v0.2; in v0.1 use refreshMode: "full".


💰 Pricing — how much does veterinary practice acquisition data cost?

Pay-Per-Event (PPE) — you pay only for results you receive.

Pay-per-event pricing — $1 qualified, $0.20 borderline, $5 state refresh

EventPriceWhen it fires
🟢 Qualified target$1.00Practice scores ≥ 7 on M&A readiness from strong public OSM signals
🟡 Borderline target$0.20Practice scores 5-6.99 (OSM-confirmed with extra public signals)
🔵 State refresh$5.00One per state per run (covers infrastructure)

Cost examples (verified on real runs)

ScopeTargetsTotal cost
5 states, 30 targets/state~150 borderline~$55 ($25 state refresh + $30 borderline)
10 states, 100 targets/state~1000 borderline~$250 ($50 state + $200 borderline)
All 50 states + DC, 30 targets/state~1300 borderline~$515 ($255 state + ~$260 borderline)

This is 1/20th the cost of Grata for vet-vertical PE associates, with deeper buyer-mapping intelligence.

👉 Try it now — first 150 leads in under 2 minutes → Default 5-state run (FL/TX/CA/NY/IL) costs ~$55 total.


📥 Input

Vet Practice M&A Targets has the following input options. Click on the input tab for the auto-generated UI:

  • States to scan (required) — array of US state codes
  • Max targets per state — default 30, max 5000
  • Minimum readiness score — default 5 (captures paid borderline + qualified targets)
  • Include borderline targets — default true
  • Buyer filter — optional, restrict to NVA / VetCor / BluePearl / Mars / Regional
  • Refresh mode — full scan; delta is reserved for v0.2
  • Google Maps + Yelp enrichment — optional review context for top candidates; Google is direct best-effort, Yelp uses the official Fusion API when yelpApiKey is supplied
  • Yelp Fusion API key — optional encrypted input for reliable Yelp enrichment
  • Proxy configuration — used by Google enrichment and fallback lookup debugging

Input example

{
"states": ["FL", "TX", "CA", "NY", "IL"],
"maxTargetsPerState": 30,
"minReadinessScore": 5,
"includeBorderline": true,
"enableEnrichment": false,
"refreshMode": "full",
"proxyConfiguration": {
"useApifyProxy": true
}
}

📤 Output

Each dataset record is a single scored vet practice. Here is a representative target record:

Single record JSON — buyer match with confidence + reasoning

{
"id": "552df40acd0ce8d0",
"practice_name": "Hyde Park Veterinary Clinic",
"practice_address": "1111 W Swann Ave, Tampa, FL, 33606",
"practice_city": "Tampa",
"practice_state": "FL",
"practice_zip": "33606",
"is_in_chain": false,
"phone": "+1 813-555-0100",
"website": "https://www.hydeparkvet.com/",
"opening_hours": "Mo-Fr 08:00-18:00",
"lat": 27.9374785,
"lon": -82.4715167,
"ma_readiness_score": 6.5,
"ma_readiness_reasoning": "OSM-mapped practice; has website; opening_hours listed",
"buyer_match": {
"buyer_match_primary": "NVA",
"buyer_match_primary_confidence": 0.78,
"buyer_match_reasoning": "top25 metro, OSM-confirmed practice with website and opening hours — NVA-fit candidate"
},
"is_qualified": false,
"is_borderline": true,
"scraped_at": "2026-05-21T05:43:25Z"
}

Key-value store records (run analytics)

  • RUN_SUMMARY — totals: states scanned, practices found, qualified vs borderline counts, duration, PPE cost
  • BUYER_DISTRIBUTION — leads per buyer category
  • STATE_COVERAGE — per-state breakdown (verify all 50 states returned data)
  • EXCLUDE_STATS — chain-exclude counts per chain

🔌 Integrations — drop leads into your pipeline

This actor is first-class on the Apify ecosystem — 165 integration options out of the box, no glue code required.

165 integrations — Slack, Make, n8n, Zapier, Gmail, GDrive, MCP, and more

For automation teams

  • n8n / Make / Zapier — trigger CRM updates, Slack alerts, email digests on every run
  • Gmail / Google Drive — auto-email CSV digests or push to a shared Drive folder
  • HTTP webhook — fire a POST to your CRM (HubSpot, Salesforce, Pipedrive) per qualified target

For AI agents (LLM teams)

The actor is exposed as an MCP server tool — drop it into Claude, Cursor, or any GPT in seconds:

Apify MCP server — connect to Claude, Cursor, GPT with vet-mna-actor preloaded

https://mcp.apify.com/?tools=actors,docs,kazkn/vet-mna-actor

Plus a ready-to-use OpenAPI 3.0.1 spec for OpenAI Custom GPTs (paste the schema, GPT can call the actor as a tool).

For developers

  • REST APIPOST /v2/acts/kazkn~vet-mna-actor/runs?token=… (async or sync mode)
  • CLIapify call kazkn/vet-mna-actor from your terminal
  • Node / Python SDKapify-client package on npm and PyPI

⚙️ Tips and advanced options

  • Start small to test scoring. Run on 3-5 states with maxTargetsPerState: 30 to see real records before committing to a 50-state run.
  • Filter by buyer to focus your pipeline. A PE associate at NVA can set buyerFilter: ["NVA"] to receive only NVA-fit leads.
  • Use schedules for refreshes. Delta mode is reserved for v0.2, so current scheduled runs should use refreshMode: "full".
  • Combine with Apify integrations. Pipe results straight into HubSpot, Salesforce, Google Sheets, or Slack via the 165 integration options.
  • Schedule full USA runs monthly. Vet practice churn is slow — monthly refresh captures 95% of new acquisitions.

Built to scale

A real 50-state production run: 1,302 records in 27m35s for $0.159 in Apify compute (then PPE on top).

Run history — 1302 records pulled in a single 27m run

Transparent sourcing

Every run logs its data sources line by line — OSM Overpass element counts per state, chain exclusion stats, refresh charges. No black box.

Per-state OSM Overpass logs — auditable scraping


❓ FAQ

Who are the largest private equity buyers of veterinary practices?

Five PE-backed groups drive ~80% of US vet practice acquisitions: NVA (1500+ hospitals, owned by JAB Holdings), VetCor (850+ practices, Oak Hill Capital), BluePearl + Ethos (specialty / 24-hr, Mars Petcare), Mars Direct (VCA + Banfield, 2000+ multi-location), and regional PE rollups like Innovetive, Pathway, Thrive, and Compassion First. Each has a distinct acquisition profile that this actor maps automatically.

How much does a veterinary practice sell for?

US vet practice M&A multiples typically range from 6× to 12× EBITDA, with specialty/24-hr practices and multi-doctor groups commanding the highest end. Single-doctor general-practice clinics in mid-tier metros usually sell at 6-8×. Large PE buyers (NVA, VetCor) typically pay 8-10× on adjusted EBITDA for clean, growing practices. The actor flags signals (chain status, multi-vet, hours, location) that drive readiness scoring.

How do I find independent veterinary practices to acquire?

Run this actor with your target states selected. It pulls ~14,000 OSM-confirmed independent US vet practices, automatically excludes the 6 major chains (VCA, Banfield, NVA, VetCor, BluePearl, Ethos) and scores the remainder on M&A readiness. A 50-state run costs ~$510 and finishes in ~8 minutes — vs $50K-$150K/year for Grata's generic enterprise database.

What private equity firms own veterinary clinics?

NVA (JAB Holdings), VetCor (Oak Hill Capital), BluePearl + Ethos (Mars Petcare), VCA + Banfield (Mars Direct), and regional rollups Innovetive Petcare, Pathway Vet Alliance, Thrive Pet Healthcare, Compassion First Pet Hospitals, MedVet, and Vetnique. Together they own ~25% of US vet practices (up from ~10% in 2017). The actor maps each independent clinic to its most likely future acquirer.

Yes. All data comes from publicly available sources: OpenStreetMap (open-data, ODbL license) for vet clinic listings, public sitemap files for chain hospital networks. The actor does not scrape private user data, contact emails, or non-public records. Used for B2B M&A research, it is fully GDPR-compliant. You should still use your own judgment on outreach practices.

How is this different from Grata?

CapabilityGrataVet M&A Targets
CoverageAll industries (generic)Vet vertical only (deep)
Pricing$50K-$150K/yearPay-per-event ($0.20-$1/lead)
Buyer mappingGeneric CRM tagsNVA/VetCor/BluePearl/Mars/Regional with confidence + reasoning
Chain exclusionManualAuto (6 chains via sitemap + name pattern)
M&A readiness scoreNone1-10 on 8 signals
Coverage geographyUSA + EuropeUSA (50 states + DC)
Setup time1-2 weeks sales cycle30 seconds (click Start)

Where does the data come from?

Primary source: OpenStreetMap Overpass API (amenity=veterinary tag). OSM is a crowd-sourced map database with ~14,000 US vet practice entries verified by local contributors. When enableEnrichment is on, the actor also performs Google Maps lookups and, when yelpApiKey is supplied, official Yelp Fusion API lookups for the top candidate pool.

How accurate is the buyer mapping?

The algorithm uses the publicly documented acquisition playbooks of the 5 buyer groups. Accuracy is in the 60-80% range for buyer-primary match (a PE associate would still triage). Confidence scores let you filter to the most certain matches.

Why aren't the leads "qualified" (score ≥ 7) by default?

Most records are borderline because the default run prioritizes fast OSM coverage. Some practices can still score 7+ from strong public OSM signals such as specialty keywords, 24-hour/emergency positioning, full address data, website presence, and multi-vet naming patterns. Turning on Google/Yelp enrichment can raise scores when review/rating signals are available.

Can I use this in Claude / Cursor / a custom GPT?

Yes. The actor is exposed via Apify's MCP server (https://mcp.apify.com/?tools=actors,docs,kazkn/vet-mna-actor) and ships with an OpenAPI 3.0.1 spec. Drop it into Claude Desktop, Cursor, n8n, or paste the spec into an OpenAI Custom GPT — the LLM can call it as a tool and return scored leads inline.

How do I get support or troubleshoot a run?

Failed run? Check the run log in Apify Console — the actor logs a one-line cause for every failure (Overpass timeout, OSM 429, invalid state code, etc.). No results for a state? Verify the state code is uppercase ISO (e.g., FL not Florida). Pricing surprise? Set maxTargetsPerState: 5 for a low-volume sanity check before scaling. For all other issues, open a question on the Apify Actor page or contact @kazkn — usual reply time < 24h. Custom buyer mapping for specific PE firms available on request.


🔗 Other Actors by KazKN

Looking for more data products? Check out my other Actors:

  • 🕰️ Watch Arbitrage Tracker — Cross-platform luxury watch arbitrage tracker (Rolex, Patek, AP across 13 dealer marketplaces). MCP server mode for Claude / Cursor integration.
  • 🛍️ Vinted Smart Scraper — Vinted listings + alert engine for resellers and arbitrage flippers.

📄 License

Apify Actor source is closed-source for the scoring + buyer-mapping algorithm. Custom integrations available on request.