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Psychotherapists Email Scraper

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Psychotherapists Email Scraper

Psychotherapists Email Scraper

🧠 Psychotherapists Email Scraper finds therapist leads by specialty, location & keywords. Instantly generate outreach lists for clinics, agencies & mental health startups. 📧🚀 Save time, reach the right professionals faster.

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from $2.99 / 1,000 results

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SolidScraper

SolidScraper

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2 days ago

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Psychotherapists Email Scraper 🔍

Psychotherapists Email Scraper automatically searches for psychotherapists for businesses and extracts their contact information, including email addresses, phone numbers, and social media profiles. If you’ve been manually building a therapist email scraper list or trying to find licensed therapist contact scraper leads one by one, this tool helps you save hours by turning public web data into a structured dataset you can use for outreach and research—at scale.

Whether you’re a marketer, recruiter, researcher, or data analyst looking for a psychotherapist email database, this actor focuses on getting usable contact fields quickly and consistently, so you can move from prospecting to action faster.


🚀 Why choose Psychotherapists Email Scraper?

FeatureBenefit
All-in-One Lead CollectionExtracts emails, phone numbers, and social media profiles in one workflow.
Location-Based ProspectingFinds psychotherapists for specified locations using your search term.
Reliability & ResilienceIncludes safeguards like fallback behaviors and resilient processing so runs complete successfully more often.
Structured, Dataset-Ready OutputPushes results into an Apify dataset with consistent, analysis-friendly fields.
Built-in Proxy SupportHelps improve scraping stability for larger batches using configurable proxy settings.
Scale ControlsLets you cap how many businesses to collect (and stop when your target is reached).

🔎 Key features

  • 💾 Real-time dataset saving: Each business (and each found email) is pushed to the dataset as scraping progresses.
  • 🗺️ Multi-location targeting: Scrape by one or more locations and control how results are limited across them.
  • 📧 Therapist email scraping: Collects scraped_emails from business websites and outputs email_found as a flattened value.
  • 📞 Phone extraction: Captures scraped_phones from the website domain (when available).
  • 🔗 Social media profile extraction: Captures scraped_social_media from the website domain (when available).
  • 🧾 Business-level contact context: Stores business name, website, phone, and address fields alongside extracted contacts.
  • 🛡️ Proxy configuration support: You can enable proxy settings via proxyConfiguration (recommended for larger runs).
  • 📊 Progress & quality signals: Includes emails_found, pages_scraped, and scrape_status to track what happened.

📝 Input

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

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

Input Fields

FieldRequiredDescription
googleMapsSearchTermYesThe business type or niche your email scraper should look for (prefilled as Psychotherapists).
googleMapsLocationYesOne or more geographic locations to target (for example: ["New York"]).
maxBusinessesNoTarget number of businesses to find that have emails. Must be between 1 and 1000. Default: 5.
scrapeMaxBusinessesPerLocationNoWhen enabled, the scraper aims for up to maxBusinesses results per location. When disabled, it combines locations into a single total limit. Default: false.
proxyConfigurationNoProxy settings for scraping. Using proxies helps avoid IP blocks and rate limits. Default prefill includes proxy support: true.
proxyConfiguration.proxy supportNoWhen set, enables Apify Proxy usage (prefilled to true).

📦 Output

The actor saves results into the Apify dataset one row per email when emails are found (it flattens scraped_emails into email_found). It also includes business-level fields and scrape status metadata.

Example dataset row:

{
"name": "Example Psychotherapy Practice",
"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",
"scraped_emails": ["contact@example.com"],
"scraped_phones": ["+1 555 987 6543"],
"scraped_social_media": ["https://www.linkedin.com/company/example"],
"emails_found": 1,
"pages_scraped": 3,
"avg_rating": 4.6,
"total_reviews": 120,
"lat": 40.7128,
"long": -74.006,
"place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4",
"scrape_status": "success",
"email_found": "contact@example.com"
}

Output Fields

FieldTypeDescription
namestringBusiness name (from the business listing).
websitestringBusiness website URL (normalized).
phonestringBusiness phone number (from the listing).
full_addressstringFull concatenated address (street_address city state zip country_code).
citystringCity name.
statestringState/region name.
zipstringPostal/ZIP code.
country_codestringCountry code from the listing address fields.
scraped_emailsarrayEmails found on the website (only present when the business is pushed with email lists; flattened output uses email_found).
scraped_phonesarrayPhone numbers extracted from the website domain.
scraped_social_mediaarraySocial links extracted from the website domain.
emails_foundnumberCount of emails found for the business.
pages_scrapednumberNumber of processed URLs/pages during website scraping.
avg_ratingnumberAverage rating value (from the business listing).
total_reviewsnumberTotal review count (from the business listing).
latnumberLatitude of the business.
longnumberLongitude of the business.
place_idstringListing place identifier.
scrape_statusstringScrape outcome status (e.g., success, failed, no_website, error).
email_foundstringFlattened email value for each dataset row when emails are found.
scrape_errorstringError message when scraping fails (included in failure/error paths).

Notes on behavior:

  • If a business has no website, the actor can push it with empty scraped_emails, scraped_phones, and scraped_social_media depending on the flow, and sets scrape_status to no_website.
  • When emails are found, the actor pushes one row per email and sets email_found accordingly.

🧭 How to use Psychotherapists Email Scraper (via Apify Console)

  1. Open Apify Console
    Log in at https://console.apify.com and go to the Actors tab.

  2. Find and open the actor
    Search for Psychotherapists Email Scraper and open the actor page.

  3. Enter your Input settings
    Use the input form and set:

    • googleMapsSearchTerm (default is Psychotherapists)
    • googleMapsLocation (e.g. New York)
  4. Choose your limits
    Set maxBusinesses (default: 5) and decide whether to enable scrapeMaxBusinessesPerLocation.

  5. (Optional) Configure proxy settings 🛡️
    If you’re scraping at higher scale, use proxyConfiguration (prefilled with proxy support: true).

  6. Run the actor
    Click Run. Watch the logs during the run—this actor proceeds in stages (location collection, then website scraping), pushing results to the dataset as it goes.

  7. Open the dataset and export
    After completion, check the OUTPUT dataset view and export to your preferred format (JSON/CSV depending on Apify’s dataset options).

No coding required—get accurate results in minutes with Psychotherapists Email Scraper. ✅


⚙️ Advanced features & SEO optimization

  • 🧠 Engineered for therapist lead generation email scraper workflows: Designed specifically for psychotherapists and related mental health professional lead collection tasks.
  • 🗺️ City-bound filtering mindset: Results are kept relevant to the target area rather than mixing unrelated regions.
  • 🧾 Confidence-friendly dataset structure: Output includes rating/reviews and scrape health fields like emails_found, pages_scraped, and scrape_status for quick triage.
  • 🔄 Email-only style output readiness: When emails are present, the dataset is flattened into clean email_found rows—perfect for downstream CRM imports or bulk outreach lists.
  • 📋 Works great as a healthcare provider email scraper foundation: Combine results across runs and normalize contacts in your pipeline.

🎯 Best use cases

  • 📈 Marketing teams building a psychotherapist email database: Generate targeted email lists for campaigns focused on mental health services.
  • 🔎 Research analysts studying private practice therapist contact patterns: Collect outreach-ready contact fields with location and website context.
  • 🧑‍💼 BD & partnerships teams doing licensed therapist contact scraper outreach: Speed up finding decision-makers and contact routes for collaboration.
  • 🗂️ Data enrichment workflows for a counselor email scraper: Enrich lead records with website, phones, and social profiles alongside emails.
  • 💻 CRM onboarding for therapist lead generation email scraper use: Import flattened email_found rows and match back to business details.
  • 🏥 Healthcare provider email scraper foundation: Build a reusable lead dataset from publicly available sources for ongoing list refreshes.

🔧 Technical specifications

  • Supported Input Formats

    • googleMapsSearchTerm as a string (e.g., Psychotherapists)
    • googleMapsLocation as an array of strings (e.g., ["New York"])
    • ✅ Optional limits: maxBusinesses (1–1000), scrapeMaxBusinessesPerLocation (boolean)
  • Proxy Support

    • proxyConfiguration object is supported
    • proxyConfiguration.proxy support is available (prefilled to true)
  • Retry Mechanism

    • ✅ Includes retries/fallback behaviors for resilience during scraping (high level)
  • Dataset Structure

    • ✅ Apify Dataset view with table fields including:
      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
  • Limitations

    • ⚠️ Businesses without websites won’t yield emails; they may be pushed with empty email/phone/social fields and scrape_status set accordingly.
    • ⚠️ Output is capped by maxBusinesses and can stop early once the target is reached.

❓ FAQ

Is Psychotherapists Email Scraper a real therapist email scraper or just a directory scraper?

✅ It’s designed as a psychotherapists email scraper: it searches for relevant businesses and then scrapes their websites to extract contact information, including emails, phone numbers, and social media profiles.

What data does Psychotherapists Email Scraper output?

✅ It saves business fields like name, website, and full_address, plus extracted fields such as scraped_emails, scraped_phones, and scraped_social_media. It also includes counters like emails_found and pages_scraped, and a scrape_status field.

Does it save one row per business or one row per email?

✅ It pushes one row per email when emails are found by flattening results into email_found rows, alongside the business context fields.

Can I control how many businesses are collected?

✅ Yes. Use maxBusinesses to set the target number of businesses with emails (1–1000). You can also control whether the cap applies per location via scrapeMaxBusinessesPerLocation.

Do I need coding to run this actor?

✅ No coding required. You can run it directly in Apify Console by configuring googleMapsSearchTerm, googleMapsLocation, and (optionally) limits and proxy settings.

Does Psychotherapists Email Scraper handle proxies?

✅ Yes. You can configure proxyConfiguration (including proxy support) to improve scraping stability for larger batches.

How can I export the results after the run?

✅ Open the actor’s dataset in the Apify OUTPUT tab and export to JSON/CSV using Apify’s dataset export options.

✅ The actor collects from publicly available sources, but your use must comply with applicable laws and platform rules (for example, GDPR/CCPA and anti-spam regulations). You’re responsible for compliance.


🤝 Support & feature requests

Want to improve Psychotherapists Email Scraper for your therapist email scraper or counselor email scraper workflows? 💡 Share feedback and enhancement ideas.

  • 💡 Feature Requests: Examples include CSV export improvements, additional filtering options, or CRM-friendly output tweaks for therapist lead generation email scraper pipelines.
  • 📧 Contact: Email dataforleads@gmail.com.

Your feedback helps shape the roadmap for the most comprehensive psychotherapists email scraper experience. 🙌


Final thoughts on Psychotherapists Email Scraper

If you’re serious about building a psychotherapist marketing email list or a licensed therapist contact scraper workflow, Psychotherapists Email Scraper is the most comprehensive option to run at scale.
Get started now and let your dataset fill itself with contact details from publicly available sources.


Disclaimer

This actor accesses publicly accessible sources to collect business contact information. It does not access private profiles, authenticated data, or password-protected content.

You are responsible for ensuring your usage complies with applicable laws and regulations (including GDPR/CCPA), spam and marketing rules, and any relevant platform terms of service. For data removal requests, contact dataforleads@gmail.com.

Use Psychotherapists Email Scraper responsibly, ethically, and for legitimate purposes only.