# Vet Practice M\&A Targets — buyer-mapped acquisition leads (`kazkn/vet-mna-actor`) Actor 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. - **URL**: https://apify.com/kazkn/vet-mna-actor.md - **Developed by:** [KazKN](https://apify.com/kazkn) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1,000.00 / 1,000 qualified vet practice (score ≥ 7)s This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🐾 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](https://api.apify.com/v2/key-value-stores/iRmWtLRmMAI0v8AC3/records/03-dataset-sample) --- ### 🎯 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 - ✅ **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: - **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](https://grata.com) 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 --- ### 🔧 How to scrape vet practice acquisition data — 3-step tutorial #### 3-step tutorial 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. 2. **(Optional) Set filters.** Restrict to a specific buyer profile (NVA-fit, VetCor-fit, etc.) or raise the minimum readiness score to qualified-only ($1.00/lead). 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 extracted by Vet Practice M&A Targets in various formats such as **JSON, CSV, Excel, or HTML** via the Apify Console or API. #### 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. #### How to schedule weekly runs Apify Schedules let you re-run the actor weekly with `refreshMode: "delta"` to only get new or changed practices since the last run — perfect for keeping your pipeline fresh without re-paying for known leads. --- ### 💰 Pricing — how much does veterinary practice acquisition data cost? **Pay-Per-Event (PPE)** — you pay only for results you receive. | Event | Price | When it fires | |---|---|---| | 🟢 Qualified target | **$1.00** | Practice scores ≥ 7 on M&A readiness (needs reviews + state portal data) | | 🟡 Borderline target | **$0.20** | Practice scores 4-6.99 (OSM-confirmed, lighter signal) | | 🔵 State refresh | **$5.00** | One per state per run (covers infrastructure) | #### Cost examples (verified on real runs) | Scope | Targets | Total 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** | **~$510** ($255 state + $260 borderline) | This is **1/20th the cost of Grata** for vet-vertical PE associates, with deeper buyer-mapping intelligence. ![Run analytics — buyer distribution, state coverage, runtime, PPE cost](https://api.apify.com/v2/key-value-stores/iRmWtLRmMAI0v8AC3/records/04-run-analytics) --- ### 📥 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 4 (captures all borderline + qualified) - **Include borderline targets** — default `true` - **Buyer filter** — optional, restrict to NVA / VetCor / BluePearl / Mars / Regional - **Refresh mode** — full scan vs delta (only changes since last run) - **Enable Yelp/Google enrichment** — optional, off by default - **Proxy configuration** — Apify Residential US recommended #### Input example ```json { "states": ["FL", "TX", "CA", "NY", "IL"], "maxTargetsPerState": 30, "minReadinessScore": 4, "includeBorderline": true, "refreshMode": "full", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` *** ### 📤 Output Each dataset record is a single scored vet practice. Here's a simplified example: ```json { "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": "VetCor", "buyer_match_primary_confidence": 0.78, "buyer_match_reasoning": "top25 metro, 142 reviews — classic VetCor profile" }, "is_qualified": false, "is_borderline": true, "scraped_at": "2026-05-21T05:43:25Z" } ``` You can download the full dataset in **JSON, CSV, Excel, HTML, or RSS** via the Apify Console or API. #### 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 *** ### ⚙️ 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 delta mode for weekly refreshes.** After your first full scan, switch `refreshMode: "delta"` to only pay for new leads. - **Combine with Apify integrations.** Pipe results straight into HubSpot, Salesforce, Google Sheets, or Slack via Apify Integrations. - **Schedule full USA runs monthly.** Vet practice churn is slow — monthly refresh captures 95% of new acquisitions. *** ### ❓ 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. #### Is it legal to scrape vet practice data? 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? | Capability | Grata | Vet M\&A Targets | |---|---|---| | **Coverage** | All industries (generic) | Vet vertical only (deep) | | **Pricing** | $50K-$150K/year | Pay-per-event ($0.20-$1/lead) | | **Buyer mapping** | Generic CRM tags | NVA/VetCor/BluePearl/Mars/Regional with confidence + reasoning | | **Chain exclusion** | Manual | Auto (6 chains via sitemap + name pattern) | | **M\&A readiness score** | None | 1-10 on 8 signals | | **Coverage geography** | USA + Europe | USA (50 states + DC) | | **Setup time** | 1-2 weeks sales cycle | 30 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. Optional enrichment via Apify community actors for Yelp + Google Maps when `enableEnrichment: true`. #### 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? Qualified scoring requires state-portal data (LLC formation date, registered agent) + reviews + AVMA membership — most US state portals are Cloudflare-protected or SPA-rendered, making bulk scraping difficult. The actor falls back to OSM-only data which scores 4-6 (borderline). Enable `enableEnrichment: true` to chase qualified scores via paid community actors. #### 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, state-portal Cloudflare block, OSM proxy 429, etc.). Most issues resolve on retry with `proxyConfiguration.useApifyProxy: true` and `apifyProxyGroups: ["RESIDENTIAL"]`. **No results for a state?** Verify the state code is uppercase ISO (e.g., `FL` not `Florida`). **Pricing surprise?** Set `maxTargetsPerState: 5` for a $5 sanity check before scaling. For all other issues, open a question on the Apify Actor page or contact [@kazkn](https://apify.com/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**](https://apify.com/kazkn/watch-arbitrage-mcp?fpr=8fp2od) — Cross-platform luxury watch arbitrage tracker (Rolex, Patek, AP across 13 dealer marketplaces). MCP server mode for Claude / Cursor integration. - 🛍️ [**Vinted Smart Scraper**](https://apify.com/kazkn/vinted-smart-scraper?fpr=8fp2od) — 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. # Actor input Schema ## `states` (type: `array`): US state codes to include. Example: FL, TX, CA. Leave empty to scan all 50 states + DC.

Tip: start small (3-5 states) to validate output before running USA-wide. Full 50-state run = ~8 minutes + ~$510 PPE. ## `maxTargetsPerState` (type: `integer`): Cap the number of records emitted per state. Useful for trial runs and PPE cost control.

Cost math: at 30/state × 50 states × $0.20 borderline ≈ $300/run.
Default 30 gives you a representative sample; raise to 500 for full state coverage. ## `minReadinessScore` (type: `integer`): Only emit targets scoring at or above this on the 1-10 readiness scale.

7+ = qualified (charged $1.00 / target) — full state-portal data + reviews
4-6.99 = borderline (charged $0.20 / target) — OSM-only practices
1-3.99 = low signal (free, dataset only if you set min=1)

Tip: leave at default 4 to capture all borderline targets day-1. ## `includeBorderline` (type: `boolean`): When on, you receive practices scored 4-7 (OSM-confirmed, but lacking reviews / state-portal data).
When off, only qualified ($1.00) targets are emitted — fewer leads, but higher confidence. ## `buyerFilter` (type: `array`): Restrict output to specific likely-acquirer types. Leave empty (recommended) to receive all buyer matches.

NVA = small-animal solo-vet, top metros (JAB Holdings)
VetCor = aging owner, 15+ yr LLC, suburban (Oak Hill Capital)
BluePearl = specialty / 24-hr / multi-vet (Mars Petcare)
Mars = multi-location, multi-state (VCA / Banfield)
Regional = everything else (Innovetive, Pathway, Thrive, etc.) ## `refreshMode` (type: `string`): Full scan (default) = rebuild target list from scratch.
Delta = only new or changed practices since last run for the same state. ## `enableEnrichment` (type: `boolean`): When on, the actor enriches each OSM record with Yelp + Google Maps + AVMA data (reviews, photos, hours, board certifications). This unlocks score 7+ qualified targets but adds ~3-5 min per state and may consume paid Apify Google Maps Scraper credits.

Leave off for OSM-only data — faster, cheaper, still produces 1300+ borderline targets across 50 states. ## `proxyConfiguration` (type: `object`): Apify Proxy is recommended for sitemap fetches on rate-limited chains (BluePearl, Ethos). Residential US proxies work best. ## Actor input object example ```json { "states": [ "FL", "TX", "CA", "NY", "IL" ], "maxTargetsPerState": 30, "minReadinessScore": 4, "includeBorderline": true, "buyerFilter": [], "refreshMode": "full", "enableEnrichment": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `datasetItems` (type: `string`): One record per scored vet practice. Includes practice name + full address, M\&A readiness score 1-10, PE buyer match (NVA/VetCor/BluePearl/Mars/Regional) with confidence + reasoning, lat/lon coordinates, phone, website, and OSM-confirmation flag. Export as JSON, CSV, Excel, or HTML. ## `runSummary` (type: `string`): States scanned, total practices found, qualified count (score ≥ 7), borderline count (4-7), chain-excluded count, run duration, total PPE cost. ## `buyerDistribution` (type: `string`): Count of targets per PE buyer category — NVA / VetCor / BluePearl / Mars Direct / Regional. Useful for spotting which acquirer dominates your pipeline. ## `stateCoverage` (type: `string`): Per-state breakdown: was this state successfully scraped, how many practices were found, how many qualified. Use this to verify all 50 states returned data. ## `excludeStats` (type: `string`): How many practices were filtered out per chain (VCA / Banfield / NVA / VetCor / BluePearl / Ethos). Sanity-check that the exclude list is correctly removing already-acquired clinics. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "states": [ "FL", "TX", "CA", "NY", "IL" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("kazkn/vet-mna-actor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "states": [ "FL", "TX", "CA", "NY", "IL", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("kazkn/vet-mna-actor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "states": [ "FL", "TX", "CA", "NY", "IL" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call kazkn/vet-mna-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kazkn/vet-mna-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vet Practice M&A Targets — buyer-mapped acquisition leads", "description": "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.", "version": "0.1", "x-build-id": "sffNaGRzZBZvj0Ja7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kazkn~vet-mna-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kazkn-vet-mna-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kazkn~vet-mna-actor/runs": { "post": { "operationId": "runs-sync-kazkn-vet-mna-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kazkn~vet-mna-actor/run-sync": { "post": { "operationId": "run-sync-kazkn-vet-mna-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "states" ], "properties": { "states": { "title": "States to scan", "uniqueItems": true, "type": "array", "description": "US state codes to include. Example: FL, TX, CA. Leave empty to scan all 50 states + DC.

Tip: start small (3-5 states) to validate output before running USA-wide. Full 50-state run = ~8 minutes + ~$510 PPE.", "items": { "type": "string", "pattern": "^(AL|AK|AZ|AR|CA|CO|CT|DE|DC|FL|GA|HI|ID|IL|IN|IA|KS|KY|LA|ME|MD|MA|MI|MN|MS|MO|MT|NE|NV|NH|NJ|NM|NY|NC|ND|OH|OK|OR|PA|RI|SC|SD|TN|TX|UT|VT|VA|WA|WV|WI|WY)$" } }, "maxTargetsPerState": { "title": "Max targets per state", "minimum": 5, "maximum": 5000, "type": "integer", "description": "Cap the number of records emitted per state. Useful for trial runs and PPE cost control.

Cost math: at 30/state × 50 states × $0.20 borderline ≈ $300/run.
Default 30 gives you a representative sample; raise to 500 for full state coverage.", "default": 30 }, "minReadinessScore": { "title": "Minimum M&A readiness score", "minimum": 1, "maximum": 10, "type": "integer", "description": "Only emit targets scoring at or above this on the 1-10 readiness scale.

7+ = qualified (charged $1.00 / target) — full state-portal data + reviews
4-6.99 = borderline (charged $0.20 / target) — OSM-only practices
1-3.99 = low signal (free, dataset only if you set min=1)

Tip: leave at default 4 to capture all borderline targets day-1.", "default": 4 }, "includeBorderline": { "title": "Include borderline targets ($0.20 each)", "type": "boolean", "description": "When on, you receive practices scored 4-7 (OSM-confirmed, but lacking reviews / state-portal data).
When off, only qualified ($1.00) targets are emitted — fewer leads, but higher confidence.", "default": true }, "buyerFilter": { "title": "Buyer match filter", "uniqueItems": true, "type": "array", "description": "Restrict output to specific likely-acquirer types. Leave empty (recommended) to receive all buyer matches.

NVA = small-animal solo-vet, top metros (JAB Holdings)
VetCor = aging owner, 15+ yr LLC, suburban (Oak Hill Capital)
BluePearl = specialty / 24-hr / multi-vet (Mars Petcare)
Mars = multi-location, multi-state (VCA / Banfield)
Regional = everything else (Innovetive, Pathway, Thrive, etc.)", "items": { "type": "string", "enum": [ "NVA", "VetCor", "BluePearl", "Mars", "Regional" ], "enumTitles": [ "🏢 NVA (JAB Holdings)", "🏥 VetCor (Oak Hill Capital)", "💙 BluePearl / Ethos (Mars Petcare)", "🐾 Mars Direct (VCA / Banfield)", "🌎 Regional PE rollups" ] }, "default": [] }, "refreshMode": { "title": "Refresh mode", "enum": [ "full", "delta" ], "type": "string", "description": "Full scan (default) = rebuild target list from scratch.
Delta = only new or changed practices since last run for the same state.", "default": "full" }, "enableEnrichment": { "title": "Enable Yelp + Google Maps enrichment", "type": "boolean", "description": "When on, the actor enriches each OSM record with Yelp + Google Maps + AVMA data (reviews, photos, hours, board certifications). This unlocks score 7+ qualified targets but adds ~3-5 min per state and may consume paid Apify Google Maps Scraper credits.

Leave off for OSM-only data — faster, cheaper, still produces 1300+ borderline targets across 50 states.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy is recommended for sitemap fetches on rate-limited chains (BluePearl, Ethos). Residential US proxies work best.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```