Med Spa Email Scraper

Med Spa Email Scraper 📬

Med Spa Email Scraper helps you find med spa businesses in specific locations and extract their contact information—especially email addresses—so you can build outreach-ready lists faster. Whether you’re looking for a med spa email scraper, an email scraper for med spas, or a med spa lead email scraper, this actor focuses on scraping contact details from publicly available data and producing structured results you can analyze or import right away—saving you hours of manual work.

Whether you’re a marketer, data analyst, or researcher, Med Spa Email Scraper is designed to turn “where do I find decision-makers and contact emails?” into a repeatable workflow at scale.

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Why choose Med Spa Email Scraper?

Feature	Benefit
✅ All-in-one business discovery + website scraping	Extract emails (plus phone numbers and social media links) tied to the business website
✅ Reliability-focused scraping flow	Includes resilience via retries and fallbacks for more consistent outcomes
✅ Output limited by your goals (Maximum Businesses With Emails)	Controls how many business email results you want per run
✅ Structured dataset fields	Returns a consistent table schema with contact and business details ready for CRM/analysis
✅ Scale-ready with proxy support	Built for larger batches with proxy configuration to help avoid IP blocks and rate limits
✅ Automation-friendly results saving	Pushes results to the Apify dataset as it goes, so you don’t wait for everything to finish

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Key features

• 🧾 Business contact discovery for med spas: Uses your business niche and location inputs to target relevant med spa businesses.
• 📧 Email extraction from business websites: Scrapes websites for contact emails and returns them in a structured dataset.
• 📞 Phone number extraction: Captures phone numbers alongside emails when available.
• 🔗 Social media link extraction: Extracts social media profiles found on the business website.
• 🛡️ Proxy support for reliable scraping: Works with your proxyConfiguration settings to help keep scraping stable at scale.
• 🔄 Resilient workflow: Designed with resilience (including fallback behavior) to improve results consistency.
• 💾 Real-time dataset saving: Saves results immediately to the Apify dataset during execution.

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Input

Provide input via an input.json file. Example structure:

{
  "googleMapsSearchTerm": "Med Spa",
  "googleMapsLocation": [
    "New York"
  ],
  "maxBusinesses": 5,
  "scrapeMaxBusinessesPerLocation": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Input Fields

Field	Required	Description
googleMapsSearchTerm	Yes	The business type or niche you want to search for (example: Med Spa).
googleMapsLocation	Yes	One or more geographic locations to target (example format: Miami, Florida or New York).
maxBusinesses	No	Target number of businesses to find that have emails (range: 1–1000). The actor stops when this target is reached.
scrapeMaxBusinessesPerLocation	No	Choose whether to enforce maxBusinesses per location (true) or treat it as a single global limit across all locations (false).
proxyConfiguration	No	Proxy settings for scraping. Recommended for large-scale scraping. Currently supports proxy support.
• proxy support	No	If set to true, the actor will use Apify Proxy (prefilled to true).

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Output

The actor saves each scraped business (and, when emails are found, each email result) to the Apify dataset in JSON format.

Example dataset rows (shape derived from the pushed fields):

{
  "name": "Sample Med Spa",
  "website": "https://example.com",
  "phone": "+1 (555) 123-4567",
  "full_address": "123 Main St New York NY 10001 US",
  "city": "New York",
  "state": "NY",
  "zip": "10001",
  "country_code": "US",
  "avg_rating": 4.6,
  "total_reviews": 230,
  "lat": 40.7128,
  "long": -74.006,
  "place_id": "some_place_id",
  "scraped_emails": [],
  "scraped_phones": ["+1 (555) 123-4567"],
  "scraped_social_media": ["https://instagram.com/sample"],
  "emails_found": 1,
  "pages_scraped": 5,
  "scrape_status": "success",
  "email_found": "hello@example.com"
}

Output Fields

Field	Type	Description
name	string	Business name.
website	string	Business website URL (cleaned of /url and stripped of query string).
phone	string	Primary phone extracted from the business listing data.
full_address	string	Combined address string including street, city, state, zip, and country code.
city	string	City value from the listing data.
state	string	State value from the listing data.
zip	string	ZIP/postal code from the listing data.
country_code	string	Country code from the listing data.
scraped_emails	array	Emails extracted from the business website (used internally for flattening).
scraped_phones	array	Phone numbers extracted from the business website.
scraped_social_media	array	Social media links extracted from the business website.
emails_found	number	Count of emails found for this business.
pages_scraped	number	Number of processed URLs/pages during website scraping.
avg_rating	number	Average rating from the business listing data.
total_reviews	number	Total number of reviews from the business listing data.
lat	number	Latitude coordinate for the business listing.
long	number	Longitude coordinate for the business listing.
place_id	string	Place identifier from the business listing data.
scrape_status	string	Scraping status text (e.g., success, failed, no_website, error).
email_found	string	When emails are found, this row is one email instance for the business (the pushed flat value).

Note: If email_only_results-style behavior is triggered by the run logic (when enabled internally), businesses without emails may not be pushed as dataset rows.

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How to use Med Spa Email Scraper (via Apify Console)

1. Open Apify Console: Log in at https://console.apify.com and go to the Actors tab.
2. Find this actor: Search for Med Spa Email Scraper in the marketplace and open the actor page.
3. Set your input in the INPUT panel:
   Add googleMapsSearchTerm (e.g., Med Spa) and at least one googleMapsLocation (e.g., New York).
4. Choose your limits:
   Set maxBusinesses to control how many businesses you want with emails, and decide whether scrapeMaxBusinessesPerLocation should be true or false.
5. Configure proxies (recommended for scale):
   In proxyConfiguration, keep proxy support: true for large runs, or adjust based on your scraping needs.
6. Run the actor:
   Click Run and monitor the live logs while it discovers businesses and scrapes their websites for contact information.
7. Open the dataset:
   After completion, check the actor OUTPUT dataset to view the saved rows. From there you can export the data (JSON/CSV, depending on your workflow).

No coding required—get accurate, structured results in minutes with Med Spa Email Scraper. 🚀

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Advanced features & SEO optimization

• 🧠 Engineered for med spa email scraping workflows: Built as a practical med spa lead email scraper for outreach and list building.
• 🔍 Keyword-driven targeting by niche + location: Combines your googleMapsSearchTerm with googleMapsLocation inputs to focus results on the med spa category you care about (useful for “scrape emails for med spa” campaigns).
• 🛡️ Proxy resilience for stable runs: Uses your proxyConfiguration settings to improve reliability and reduce the chance of scraping interruptions during bulk email extraction for med spas.
• 📊 Structured output for analysis: The dataset includes business fields plus scraped contact fields, making it easier to build a marketing email list scraper or run healthcare lead email scraper analytics.
• 💾 Automation-friendly dataset saving: Results are pushed as they’re produced, which supports faster downstream CRM import workflows (e.g., patient outreach email list building).

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Best use cases

• 💼 Marketing teams building outreach lists: Generate a patient outreach email list by collecting business emails and website-linked contact details in one run.
• 🧪 Lead generation research: Quickly find med spa business contacts to support healthcare lead email scraper research by region.
• 📦 Direct mail prep: Create a direct mail email list scraper for med spas by pairing business details (address, website) with extracted emails.
• 📈 Data analysts enriching CRM datasets: Use the structured dataset fields (emails found, phones, social links) to augment business contact records.
• 🧠 Business development teams finding decision-maker contacts: Use it as a medical spa email finder to locate business-level email contacts for follow-ups.
• 🛠️ Automation pipelines for sales ops: Feed results into your pipeline as part of a marketing email list scraper workflow, without manual copying.

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Technical specifications

• Supported Input Formats

  • ✅ googleMapsSearchTerm as a string niche (example: Med Spa)
  • ✅ googleMapsLocation as an array of location strings

• Proxy Support

  • ✅ proxyConfiguration object
  • ✅ proxy support boolean (prefilled to true)

• Retry Mechanism

  • ✅ Includes resilience with retries and fallbacks to improve scraping stability

• Dataset Structure

  • ✅ Output is saved to the Apify dataset with fields defined in the dataset transformation: name, website, phone, full_address, city, state, zip, country_code, scraped_emails, scraped_phones, scraped_social_media, emails_found, pages_scraped, avg_rating, total_reviews, lat, long, place_id, scrape_status

• Rate Limits & Performance

  • ✅ Designed for batch runs with concurrent website scraping (speed depends on site responsiveness)

• Limitations

  • ❌ If a business has no website or no contact emails found on the website, scrape_status may reflect no_website and emails will be empty.
  • ❌ Results depend on the availability of publicly accessible contact details on business websites.

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FAQ

Does this Med Spa Email Scraper only find emails on med spa websites?

✅ Yes. It scrapes the business website for contact information and extracts emails (plus phones and social media links) into the dataset.

What does “Maximum Businesses With Emails” control?

It controls your target number of businesses to find that have emails. The actor stops when the target is reached, and you can optionally enforce this limit per location using scrapeMaxBusinessesPerLocation.

Can I scrape multiple locations in one run?

✅ Yes. Provide multiple entries in googleMapsLocation. You can either treat maxBusinesses as a global cap or apply it per location with scrapeMaxBusinessesPerLocation.

Do I need to provide proxy settings?

Not required for basic usage, but ✅ recommended for larger batches. You can configure proxyConfiguration.proxy support to improve scraping reliability.

What fields will I get in the dataset?

The dataset includes business and contact fields such as name, website, phone, full_address, city, state, zip, country_code, scraped_emails, scraped_phones, scraped_social_media, emails_found, pages_scraped, avg_rating, total_reviews, lat, long, place_id, and scrape_status.

Is email validation included?

Email validation is controlled by validate_emails, which is set from input (internally read from actor_input.get('validateEmails', False)). If enabled, the actor will validate extracted emails.

Can I use the output for outreach or marketing?

✅ You can use the output for legitimate outreach and list-building workflows, but it’s your responsibility to comply with applicable privacy and messaging laws (including GDPR/CCPA where relevant) and with platform/website terms.

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Support & feature requests

If you’re using Med Spa Email Scraper and want improvements (for example, better export options for marketing email list scraper workflows or enhanced filtering for medical spa patient outreach email list building), we’d love to hear from you.

• 💡 Feature Requests: Share enhancements you want like CSV export improvements, stronger post-processing, or additional dataset fields that match your workflow.
• 📧 Contact: Reach us at dataforleads@gmail.com.

User feedback directly shapes the roadmap for this med spa email scraper. 🙌

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Closing CTA / Final thoughts

If you need a fast, reliable way to scrape emails for med spa outreach, Med Spa Email Scraper is built to help you scale contact discovery without the manual spreadsheet grind. 🔍✨

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Disclaimer

This tool only accesses publicly accessible sources. It does not access private profiles, authenticated data, or password-protected content.

You are responsible for complying with applicable laws and regulations (including GDPR and CCPA where relevant), as well as with the terms of service of the websites you scrape. For data removal requests, contact dataforleads@gmail.com.

Use this tool responsibly, ethically, and only for legitimate purposes. ✅