Attorney Email Scraper

Attorney Email Scraper 📬

Attorney Email Scraper helps you find attorneys and extract their contact information from publicly available sources—so you can build an attorney contact database without spending days manually searching. It’s a legal email scraper designed for use cases like targeted attorney email scraping and finding attorney email addresses at scale. Whether you’re a marketer, researcher, or data analyst, this tool makes it easier to compile an attorney outreach email list by combining business discovery with website contact extraction, saving you hours of manual work.

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Why choose Attorney Email Scraper?

Feature	Benefit
✅ All-in-one workflow (business discovery → website contact extraction)	Extracts emails, phone numbers, and social media profiles in one run
✅ Reliability-focused scraping with retries and fallbacks	Helps keep results flowing even when some pages are hard to access
✅ Structured, dataset-ready output	Saves consistent fields like name, website, scraped_emails, and scrape_status for easy analysis
✅ Scale-friendly targeting with limits	Stops when you reach your requested number of businesses with emails
✅ Built-in proxy support for reliable scraping	Improves robustness for larger batches and helps reduce scraping interruptions
✅ Real-time dataset saving	Pushes results to the Apify dataset immediately while it runs

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Key features

• 🔍 Attorney-focused business discovery: Uses your googleMapsSearchTerm and googleMapsLocation inputs to target relevant businesses.
• 📧 Email harvesting from websites: Extracts email addresses and supports email harvesting tool for lawyers workflows.
• 📞 Phone and social media extraction: Pulls scraped_phones and scraped_social_media alongside scraped emails.
• 🧠 Smart limits for results: Lets you control maxBusinesses and (optionally) apply the limit per location for controlled attorney prospecting email tool runs.
• 🛡️ Proxy resilience: Supports proxyConfiguration so you can run more reliably at larger scale.
• 🔄 Resilience for difficult sites: Includes retries and fallbacks to improve completion rates across different domains.
• 💾 Immediate dataset saving: Pushes each scraped business (and per-email rows when emails are found) into the output dataset as it goes.
• 📊 Dataset fields built for analysis: Includes location and scoring-style fields like avg_rating, total_reviews, lat, long, and place_id.

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Input

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

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

Input Fields

Field	Required	Description
googleMapsSearchTerm	Yes	Business type or niche for the email scraper (for example, “Attorney”).
googleMapsLocation	Yes	Target geographic location(s) as a list (for example, “New York”).
maxBusinesses	No	Maximum number of businesses to find (range: 1–1000). The actor stops when it reaches the target number.
scrapeMaxBusinessesPerLocation	No	If enabled, it collects up to maxBusinesses results per location; if disabled, it combines locations up to a single total limit.
proxyConfiguration	No	Proxy settings for scraping. Recommended for larger-scale runs. You can enable Apify proxy with proxy support.
proxyConfiguration.proxy support	No	When set to true, the actor uses Apify proxy (configured as prefilled by default).

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Output

The actor saves results into an Apify dataset (JSON rows). Each dataset row includes the business details plus extracted contact information.

Example output JSON (dataset rows)

{
  "name": "Example Law Firm",
  "website": "https://examplelawfirm.com",
  "phone": "+1-555-123-4567",
  "full_address": "123 Main St Exampletown NY 10001 US",
  "city": "Exampletown",
  "state": "NY",
  "zip": "10001",
  "country_code": "US",
  "scraped_emails": ["info@examplelawfirm.com"],
  "scraped_phones": ["+1-555-111-2222"],
  "scraped_social_media": ["https://www.linkedin.com/company/examplelawfirm/"],
  "emails_found": 1,
  "pages_scraped": 5,
  "avg_rating": 4.6,
  "total_reviews": 128,
  "lat": 40.7128,
  "long": -74.006,
  "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4",
  "scrape_status": "success"
}

Note: When emails are found, the actor flattens output so you may see one row per email with an email_found field instead of scraped_emails.

Output Fields

Field	Type	Description
name	string	Business name.
website	string	Business website URL (if available).
phone	string	Phone number from the business record (if available).
full_address	string	Full address string.
city	string	City portion of the address.
state	string	State/region portion of the address.
zip	string	ZIP/postal code.
country_code	string	Country code.
scraped_emails	array	Emails extracted from the business website (empty array if none).
scraped_phones	array	Phone numbers extracted from the business website.
scraped_social_media	array	Social media profile links extracted from the business website.
emails_found	number	Count of emails found on the scraped website.
pages_scraped	number	Number of processed pages/URLs during website scraping.
avg_rating	number	Average rating value from the business listing data.
total_reviews	number	Total review count from the business listing data.
lat	number	Latitude value for the business location.
long	number	Longitude value for the business location.
place_id	string	Place identifier from the business listing data.
scrape_status	string	Status of the scraping workflow for that row (e.g., success, failed, no_website, error).
email_found	string	The specific email for that flattened row (present when the actor outputs per-email rows).
scrape_error	string	Error details when the scrape fails (scrape_status indicates failure).

You can export dataset results from Apify as JSON and CSV.

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How to use Attorney Email Scraper (via Apify Console)

1. Open Apify Console
   Go to console.apify.com and sign in.

2. Find the actor
   Search for Attorney Email Scraper in the Actors marketplace.

3. Open the Input panel
   Click the Input section and fill in:

   • googleMapsSearchTerm
   • googleMapsLocation (use a list)

4. Set your result limits
   Adjust maxBusinesses to control how many businesses you want. If you’re running multiple locations, choose whether to enable scrapeMaxBusinessesPerLocation.

5. (Optional) Configure proxies
   In proxyConfiguration, enable proxy support if you want the actor to use Apify proxy support for more reliable scraping.

6. Click Run
   Start the actor. You’ll see progress in the logs and dataset rows will be pushed as contact information is extracted.

7. Review the dataset output
   After the run, open the OUTPUT tab to view the dataset:

   • Each row includes business fields plus extracted contact fields like scraped_emails, scraped_phones, and scraped_social_media.

8. Export your results
   Export to JSON or CSV for your attorney contact database, legal email scraper pipeline, or downstream analysis.

No coding required—get accurate attorney email scraper results in minutes.

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Advanced features & SEO optimization

• 🏛️ Built for attorney email outreach lists: Designed specifically for finding attorney email addresses and building a legal industry email database from business and website sources.
• 🌐 Public-web contact extraction: Extracts emails and additional contact details from websites for each discovered business, supporting attorney lead email list creation.
• 🛡️ Proxy resilience for scraping at scale: Uses your proxyConfiguration to improve reliability and reduce interruptions during larger scraping tasks.
• 🧾 Flattened dataset rows when emails are found: Supports both “scraped lists” and per-email rows (including email_found) so CRM import workflows can be easier.
• 📊 Rich structured location fields: Output includes full_address, city, state, zip, lat, long, and place_id—useful for segmentation and analysis.

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Best use cases

• 📈 Lead generation for law firms: Build an attorney outreach email list with emails scraped from websites.
• 🧪 Market research and competitive analysis: Compare law firms by location using avg_rating, total_reviews, city, and state alongside contacts.
• 🎯 Sales prospecting: Generate targeted attorney email scraping results for B2B outreach with an attorney contact database.
• 🗂️ Research teams & analysts: Export structured rows (including lat, long, place_id) for geospatial or segmentation analysis.
• 🧑‍💻 Data pipeline builders: Use the dataset fields to enrich lists with scraped_phones and scraped_social_media for higher-touch outreach.
• ✉️ Email marketing ops: Combine contact emails with business metadata to automate campaign list creation (starting from publicly available data).

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Technical specifications

• Supported Input Formats

  • ✅ googleMapsSearchTerm (string)
  • ✅ googleMapsLocation (array of strings)
  • ✅ maxBusinesses (integer 1–1000)
  • ✅ scrapeMaxBusinessesPerLocation (boolean)
  • ✅ proxyConfiguration (object, including proxy support)

• Proxy Support

  • ✅ proxyConfiguration supported via the Apify proxy option (proxy support prefilled to true).

• Retry Mechanism

  • ✅ Includes retries and fallbacks for resilient scraping behavior (to improve success across different domains).

• Dataset Structure

  • ✅ Business-level fields + scraped contact fields
  • ✅ Includes scraped_emails, scraped_phones, scraped_social_media, plus counts like emails_found and pages_scraped
  • ✅ Includes status via scrape_status and failure details via scrape_error when applicable
  • ✅ May include per-email flattened rows via email_found

• Rate Limits & Performance

  • ✅ Controlled by batching limits (maxBusinesses, and optionally per-location behavior)

• Limitations

  • ❌ If a business has no website, the actor will mark scrape_status as no_website and there will be no scraped contacts from a website.
  • ❌ Some websites may not expose contact information publicly, resulting in scrape_status of failed or empty scraped_emails.

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FAQ

Does Attorney Email Scraper only work for attorneys?

✅ Yes—this actor is intended for attorney-focused business discovery using the googleMapsSearchTerm you provide (prefilled to “Attorney”) and targeted location(s) via googleMapsLocation.

What contact details does Attorney Email Scraper extract?

✅ It extracts email addresses into scraped_emails, plus phone numbers and social media profile links into scraped_phones and scraped_social_media. It also outputs counts like emails_found and pages_scraped.

Do I get results per business or per email?

✅ Both patterns can appear in the dataset. When emails are found, the actor flattens output so you may see one row per email using email_found. Business-level fields still include the context (like name, website, place_id, and scrape_status).

Can I control how many businesses are scraped?

✅ Yes. Use maxBusinesses to set the overall target. If you enable scrapeMaxBusinessesPerLocation, the actor targets up to maxBusinesses per location instead of a single combined total.

Is proxy support available for Attorney Email Scraper?

✅ Yes. You can configure proxyConfiguration and enable proxy support for more reliable scraping at scale.

Can the actor validate emails before saving?

✅ You can control email validation via the input (internally referenced as validateEmails). If enabled, it supports validation behavior; dataset rows still include scraped_emails and emails_found.

Is the data sourced from publicly available sources?

✅ Yes. The actor collects information from publicly available sources. It does not access private, authenticated, or password-protected content.

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Support & feature requests

If you’re using Attorney Email Scraper and want improvements (for example, exporting formats or CRM-friendly tweaks), we’d love your feedback.

• 💡 Feature Requests: Share concrete enhancements like CSV-ready fields, additional normalization options, or different flattening behavior for email_found.
• 📧 Contact: Send a message to dataforleads@gmail.com.

User feedback directly shapes what we build next for Attorney Email Scraper.

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Disclaimer

This tool only accesses publicly available sources. It does not access private profiles, authenticated data, or password-protected pages. It’s your responsibility to comply with applicable laws (including GDPR/CCPA where relevant), spam regulations, and each website’s terms of service.

For data removal requests, contact dataforleads@gmail.com. Use Attorney Email Scraper responsibly, ethically, and for legitimate purposes only.

Get the most comprehensive Attorney Email Scraper results—SEO-optimized, dataset-ready, and built for scaling attorney lead generation.