Accountants Email Scraper

Pricing

Rating

Developer

Actor stats

Categories

Share

Accountants Email Scraper 📬

Accountants Email Scraper helps you find and extract business contact information for accountants—turning location and niche ideas into an email list building workflow. If you’re searching for an accountants email scraper, an accounting firm email finder, or a B2B email scraper for accountants that can help you scale outreach, this actor scrapes publicly available data for businesses matching your search term and location(s), then visits their websites to collect emails, phone numbers, and social media profiles—saving you hours of manual work.

🚀 Why choose Accountants Email Scraper?

🔑 Key features

• 📊 Accounts contact extraction: Finds businesses matching your accountant-related search term and location(s)
• ✉️ Emails from business websites: Scrapes emails from the business’s website content and outputs one row per found email
• 📞 Phone number capture: Extracts scraped_phones from the site for enriched lead profiles
• 🔗 Social media discovery: Captures scraped_social_media links for each business
• 🗺️ Location-driven coverage: Uses a location viewport approach so you can build an accountant lead email list for a city/region
• 💾 Real-time dataset saving: Pushes results to the Apify dataset immediately during website scraping
• 🛡️ Proxy configuration support: Lets you add proxy settings (recommended for larger runs)
• 🔄 Email-only filtering option: Supports saving only businesses that yield emails (where enabled)

📝 Input

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

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

Input Fields

Note: Phone extraction, social extraction, and email validation are enabled by default in the website scraping step. Proxy configuration is read from proxyConfiguration input.

📦 Output

The actor saves each scraped business’s data into the Business Contact Data dataset. The dataset is flattened so you get one output row per found email (when emails are found).

Example output item:

{
"name":"Example Accounting Co",
"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":[],
"scraped_phones":["+1-555-111-2222"],
"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_tDeuEmsRUso3SkcKk8A",
"scrape_status":"success",
"email_found":"hello@example.com"
}

Output Fields

If a business has no website to scrape, the actor assigns scrape_status accordingly and sets the scraped fields to empty arrays and counts to 0 (and it may still be omitted depending on the “email-only mode” behavior internally).

✅ How to use Accountants Email Scraper (via Apify Console)

1. Open Apify Console
   Go to console.apify.com and open your Apify account.

2. Find the actor
   Search for Accountants Email Scraper in the Actors marketplace and open it.

3. Paste your input
   In the Input section, set:

   • googleMapsSearchTerm (e.g., “Accountants”)
   • googleMapsLocation (e.g., ["New York"]) Optionally set:
   • maxBusinesses
   • scrapeMaxBusinessesPerLocation
   • proxyConfiguration

4. (Optional) Configure proxies
   If you’re running larger batches, enable proxy settings using proxyConfiguration → proxy support.

5. Run the actor
   Click Run. Watch the live logs for progress as it scrapes the businesses and then scrapes their websites for contact emails.

6. Review results
   After completion, open the dataset named Business Contact Data.

7. Export for outreach or analysis
   Export the dataset to your preferred format (JSON/CSV options are typically available from the dataset UI).

No coding required—get accurate results in minutes with this accountants email scraper.

🚀 Advanced features & SEO optimization

• ✉️ B2B email scraper for accountants: Built to help you turn accounting firm listings into outreach-ready contact data, including emails plus enrichment fields like phone and social links
• 🗺️ Accounting firm email finder by location: Works with city/region targeting via the googleMapsLocation input list
• 💾 Real-time dataset saving: Each email match is pushed to the dataset as scraping proceeds, so you can monitor progress immediately
• 🛡️ Proxy support for reliability: Lets you use Apify proxy settings via proxyConfiguration for more dependable large-scale runs

🎯 Best use cases

• 📈 Marketing lead generation for accounting firms: Build an accountant lead email list for campaigns by city and business niche
• 🧾 Market research for compliance consulting email leads: Compare firms’ contact availability and engagement readiness across regions
• ✉️ Outreach list building for tax preparer email scraper workflows: Rapidly gather emails and enrichment fields for email outreach and partnership pitching
• 🗂️ Data enrichment for professional services email scraping tool projects: Combine business listing details with website contact extraction in one run
• 🧠 Sales ops and RevOps for accounting software partner email outreach list: Speed up partner prospecting with structured contact data
• 🔎 Research and analysis for bookkeeper email scraper efforts: Analyze the distribution of emails, phone presence, and social links by location

🔧 Technical specifications

Supported Input Formats

✅ googleMapsSearchTerm (string)
✅ googleMapsLocation (array of strings)

✅ proxyConfiguration (object, includes proxy support)

Proxy Support

✅ Yes, via proxyConfiguration → proxy support

Retry Mechanism

✅ Yes, includes retries and fallbacks for resilience during scraping

Dataset Structure

✅ Saves to dataset Business Contact Data with fields like name, website, scraped_emails, scraped_phones, scraped_social_media, emails_found, pages_scraped, avg_rating, total_reviews, lat, long, place_id, scrape_status, and flattened email_found.

Rate Limits & Performance

✅ High-level behavior is designed for large scraping batches with concurrency and dataset streaming, while still enforcing practical caps via maxBusinesses and scrapeMaxBusinessesPerLocation.

Limitations

❌ If a business has no website available from the listing, website scraping cannot extract emails and will be reflected via scrape_status and empty scraped fields.

❓ FAQ

Is Accountants Email Scraper limited to accountants only?

Yes—use googleMapsSearchTerm to target the accountant niche (the default prefill is Accountants). You can also adapt the search term to related professional services by entering a different business type.

What does the actor save to the dataset?

It saves business listing details plus website-extracted contact data, including scraped_emails, scraped_phones, scraped_social_media, and summary counts like emails_found and pages_scraped. The dataset is flattened so you also get email_found per output row when emails are found.

Do I need an API key or code to run it?

No. You can run it directly from Apify Console by providing the required inputs (googleMapsLocation and googleMapsSearchTerm).

How do I control how many results I get?

Use maxBusinesses to set the target number of businesses with emails. If you enable scrapeMaxBusinessesPerLocation, the actor targets up to maxBusinesses per location; otherwise it applies a single total limit across all locations.

Does it support proxies?

✅ Yes. You can configure proxyConfiguration and enable proxyConfiguration.proxy support for more reliable scraping in larger runs.

What happens when a business doesn’t have a website?

The actor records this situation using scrape_status (for example: no_website) and sets scraped email/phone/social fields to empty arrays with emails_found as 0.

Can I validate emails?

Yes—email validation is enabled by default in the website scraping step. You can control this via the internal scraping configuration behavior (validateEmails is read from input if present, otherwise the default behavior enables validation).

Is this tool legal and compliant to use?

✅ The actor is designed to work with publicly available sources, but it’s your responsibility to comply with applicable laws and each website’s terms (including GDPR/CCPA and spam regulations where relevant).

🤝 Support & feature requests

Want to improve Accountants Email Scraper (for example, better dataset flattening, export options, or additional lead fields)? We’d love your feedback.

• 💡 Feature Requests: Share concrete ideas like “CSV export of email_found rows” or “additional lead metadata fields”
• 📧 Contact: Email us at dataforleads@gmail.com

User feedback directly shapes the roadmap for this accountants email scraper.

✨ Closing CTA / Final thoughts

If you’re building an SEO-optimized workflow for an accountants email scraper, this actor gives you structured, outreach-ready contact data at scale.
Get started with Accountants Email Scraper today and speed up your accounting firm email finder process.

Disclaimer

This tool accesses publicly accessible sources. It does not access private profiles, authenticated data, or password-protected pages. You are responsible for ensuring your use complies with applicable laws and regulations (including GDPR/CCPA), spam rules, and the terms of service of any websites you access.

For data removal requests, contact dataforleads@gmail.com. Please use this tool responsibly, ethically, and for legitimate purposes only.