Denmark Proff.dk Business Scraper
Pricing
from $5.00 / 1,000 results
Denmark Proff.dk Business Scraper
Extract verified Danish businesses, local services, and B2B leads from Proff.dk. Fast, reliable crawler
Pricing
from $5.00 / 1,000 results
Rating
0.0
(0)
Developer
HappiTap
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
10 hours ago
Last modified
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UK Care Home Directory Scraper
Extract verified care homes, nursing homes, and residential care facilities across the UK for high-quality B2B healthcare leads.
The UK Care Home Directory Scraper automates the extraction of facility data from top UK healthcare directories, providing you with verified contact details, care types, and ratings.
What can UK Care Home Directory Scraper do?
- ✅ Extract Premium Leads - Get facility names, addresses, and phone numbers.
- ✅ Identify Care Types - Know exactly what type of care the facility provides (Nursing, Dementia, Residential).
- ✅ Assess Quality - Scrape ratings and review counts to target high-quality providers.
- ✅ Export formats - Download data in JSON, CSV, Excel, or HTML formats.
- ✅ Integrations - Connect seamlessly with API, webhooks, Make, or Zapier.
- ✅ No coding required - Use our simple interface to start scraping immediately.
Why scrape UK Care Homes?
UK healthcare directories contain valuable data for:
- 🎯 B2B Medical Suppliers - Target facilities that need medical equipment and consumables.
- 📊 Healthcare Recruitment - Connect with homes needing nursing staff or care workers.
- 📍 Service Providers - Offer catering, cleaning, or maintenance services to care facilities.
What data can you extract?
| Data Field | Description | Example |
|---|---|---|
| careHomeName | The name of the facility | "Sunrise Senior Living" |
| careType | The type of care provided | "Nursing Home" |
| address | The full address of the facility | "123 High Street, London" |
| phone | Direct contact number | "020 1234 5678" |
| rating | User rating and review count | "9.8 (45 Reviews)" |
| listingUrl | Link to the directory listing | "https://www.carehome.co.uk/..." |
How to scrape care home data
- Click "Try for free" to start using the actor.
- Enter your input - Provide a keyword (e.g., "care home") and location (e.g., "London").
- Configure options - Set the maximum number of leads you want to extract.
- Start the scraper - Click Start and let the actor do the work.
- Download results - Export your leads as JSON, CSV, or Excel.
Input
Configure the scraper with these key settings:
- Keyword - The specific care niche (e.g., 'care home', 'nursing home').
- Location - The UK city or county (e.g., 'London', 'Surrey').
- Maximum Leads - The total number of records to extract.
- Proxy Configuration - Apify Residential Proxy (UK targeted) is highly recommended.
Output
You can download data in multiple formats:
- JSON - For developers and programmatic access
- CSV - For easy import into Excel or CRM systems
- Excel - Ready-to-use spreadsheet
Output example
{"careHomeName": "Sunrise Senior Living","careType": "Nursing Home","address": "123 High Street, London, SW1A 1AA","phone": "02012345678","rating": "9.8 45 Reviews","listingUrl": "https://www.carehome.co.uk/...","scrapedAt": "2026-07-02T15:00:00Z"}
How much does it cost?
This actor uses a Pay-Per-Event (PPE) pricing model:
- Base Fee: $0.25 per start
- Lead Fee: $4.00 per 1,000 leads extracted ($0.004 per lead)
Free tier: Apify provides $5 in free monthly credits, allowing you to extract over 1,000 leads for free!
Is it legal to scrape?
Yes, scraping publicly available data is generally legal. This Actor only extracts public information.
Best practices:
- Use the data ethically for B2B outreach.
- Respect the target site's Terms of Service.
- Ensure compliance with GDPR when handling contact information.
Integrations
Connect with 1000+ apps:
- Google Sheets - Auto-update spreadsheets with new leads.
- Slack - Get notifications when scraping finishes.
- Webhooks - Send data directly to your CRM.
- API - Programmatic access for developers.
License: Apache-2.0 | Version: 1.0.0