Architects Email Scraper

Architects Email Scraper 📬

Architects Email Scraper is an Apify actor that helps you find architecture firm contact information and extract emails alongside phone numbers and social media profiles. It’s designed to solve the time-consuming part of building an architects email database—so you can quickly create architects contact lists for outreach, lead generation, and research.

Whether you’re a marketer, recruiter, or data analyst, this architect email scraper streamlines collecting AEC email lead scraper data from publicly available web sources and pairing it with structured business details—saving you hours of manual work.

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🚀 Why choose Architects Email Scraper?

Feature	Benefit
✅ Purpose-built for architecture firms	Find and extract contact info for the “Architects” niche using your location filters
✅ Structured output for easy import	Store results with fields like name, website, scraped_emails, and more in a consistent dataset format
✅ Reliability with proxy support	Works with your proxy configuration to improve stability for larger runs
✅ Data completeness (email + phone + social)	Extract emails, phone numbers, and social links (when available) rather than emails-only snapshots
✅ Scale by limits	Control how many businesses to scrape using maxBusinesses and choose whether limits apply per location
✅ Resilient scraping workflow	Includes success/failure tracking and records a scrape_status for each business

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🔎 Key features

• ✅ Architect-focused search: Uses your googleMapsSearchTerm (default Architects) to target relevant businesses in each location
• 🌍 Location-aware scraping: Accepts multiple entries in googleMapsLocation to build broader architect email lead scraper lists
• 🧾 Contact extraction from websites: Scrapes business websites to extract scraped_emails, scraped_phones, and scraped_social_media
• 🛡️ Proxy support for reliability: Includes a proxyConfiguration option (recommended for larger-scale jobs)
• 💾 Dataset-first results: Pushes each business (and, when available, each extracted email) directly to the Apify dataset
• 📞 Phone + social included: Extracts additional contact context alongside emails for richer follow-up
• 🔁 Clear success tracking: Outputs emails_found, pages_scraped, and a scrape_status value for transparency

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📝 Input

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

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

Input Fields

Field	Required	Description
googleMapsSearchTerm	No	Business type or niche to search for (the default prefill is Architects).
googleMapsLocation	Yes	Target geographic locations to search. Provide an array of locations like ["Miami, Florida"] (you can include multiple).
maxBusinesses	No	Target number of businesses to find (allowed range 1–1000). The run stops when the target is reached.
scrapeMaxBusinessesPerLocation	No	If true, the actor collects up to maxBusinesses results per location. If false, it combines locations into one total limit.
proxyConfiguration	No	Proxy settings for scraping. Recommended for large-scale scraping. Uses the built-in proxy editor with your settings (including proxy support).
proxyConfiguration • proxy support	No	Enables Apify Proxy by default (prefilled to true).

Note: Only googleMapsLocation and googleMapsSearchTerm are required.

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📦 Output

The actor saves each result row into the Business Contact Data dataset as JSON objects.

[
  {
    "name": "Example Architecture Firm",
    "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": ["info@example.com"],
    "scraped_phones": ["+1-555-987-6543"],
    "scraped_social_media": ["https://www.linkedin.com/company/example/"],
    "emails_found": 1,
    "pages_scraped": 5,
    "avg_rating": 4.5,
    "total_reviews": 123,
    "lat": 40.7128,
    "long": -74.006,
    "place_id": "ChIJ...",
    "scrape_status": "success"
  }
]

Output Fields

Field	Type	Description
name	string	Business name for the architect/firm.
website	string	The business website URL extracted for scraping.
phone	string	Phone value coming from the business listing data.
full_address	string	Combined address string (built from street/city/state/zip/country_code).
city	string	City portion of the business address.
state	string	State portion of the business address.
zip	string	ZIP/postal code portion of the business address.
country_code	string	Country code portion of the business address.
scraped_emails	array	Emails extracted from the business website (empty if none found).
scraped_phones	array	Phone numbers extracted from the business website (may be empty).
scraped_social_media	array	Social media profile links extracted from the business website (may be empty).
emails_found	number	Count of scraped emails found for that business.
pages_scraped	number	Number of processed URLs/pages during website scraping.
avg_rating	number	Average rating for the business listing.
total_reviews	number	Total reviews count for the business listing.
lat	number	Latitude for the business location.
long	number	Longitude for the business location.
place_id	string	Place identifier from the business listing data.
scrape_status	string	Status indicator such as success, failed, or no_website.

Dataset behavior note: when emails are found, the actor pushes flattened rows—one dataset row per extracted email—with the email value stored in email_found.

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

1. Open Apify Console
   Log in at console.apify.com and open the Actors page.

2. Find the actor
   Search for Architects Email Scraper and open the actor details.

3. Configure your input
   In the INPUT section, set:

   • Location (googleMapsLocation) — one or more locations as an array
   • Search Term (googleMapsSearchTerm) — default is Architects Then optionally set:
   • Maximum Businesses With Emails (maxBusinesses)
   • Scrape Max Businesses Per Location (scrapeMaxBusinessesPerLocation)
   • Proxy Configuration (proxyConfiguration)

4. Choose proxy settings (recommended for scale)
   If you plan to scrape many businesses or multiple locations, enable proxy configuration using the provided proxy editor options.

5. Run the actor
   Click Run to start. You’ll see progress in logs as it processes locations and scrapes websites.

6. Review the output dataset
   After completion, open the OUTPUT tab and view the dataset named Business Contact Data (table view includes fields like Business Name, Emails Found, Phone Numbers, and Status).

7. Export your results
   Export the dataset to JSON/CSV from Apify (use it directly in CRM workflows, outreach lists, or analysis pipelines).

No coding required—get accurate architects email scraper results in minutes ✅

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⚙️ Advanced features & SEO optimization

• 📊 Engineered for architects email lead scraper workflows: Tailored for the “Architects” niche so you can build architect email database style outputs faster.
• 🔄 Input scaling with clear limits: Use maxBusinesses to stop at the business volume you want, with scrapeMaxBusinessesPerLocation controlling whether limits are per location or global.
• 💼 Richer AEC context: Works as an AEC email lead scraper by extracting not only emails, but also scraped_phones and scraped_social_media.
• 🛡️ Built-in proxy support for reliable scraping: Use proxyConfiguration (including proxy support) to improve stability for bulk runs.

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🎯 Best use cases

• 📈 Marketing team lead generation: Build targeted architects lead generation emails by turning architecture firm websites into structured outreach-ready data.
• 🧑‍🔬 Market researchers: Compile an architect email database by location and niche for competitive research and trend analysis.
• 🏗️ B2B sales pipelines: Enrich CRM records with business contacts plus phone and social links for better follow-up.
• ✉️ Email ops and list hygiene teams: Use email counts (emails_found) and scrape status (scrape_status) to understand coverage before outreach.
• 📍 Regional business development: Compare architects contact list coverage across multiple googleMapsLocation entries.
• 🧾 Data analysts: Join extracted fields like avg_rating, total_reviews, lat, and long to analyze firm distribution alongside contactability.
• 💻 Automation engineers: Feed dataset rows into downstream workflows (e.g., lead scoring, enrichment, routing to sales reps) using consistent output fields.

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🔧 Technical specifications

Supported Input Formats

• ✅ googleMapsLocation as an array of location strings
• ✅ googleMapsSearchTerm as a string (defaults to Architects)
• ✅ maxBusinesses as an integer (1–1000)
• ✅ scrapeMaxBusinessesPerLocation as a boolean
• ✅ proxyConfiguration as a proxy object (supports proxy support)

Proxy Support

• ✅ Proxy support via proxyConfiguration with proxy support (prefilled to true)

Retry Mechanism

• ✅ Includes resilience in the overall workflow so runs can continue collecting results even when some businesses fail (tracked in scrape_status)

Dataset Structure

• ✅ Dataset: Business Contact Data
• ✅ Flattened rows: when scraped_emails are found, the actor pushes one row per extracted email using email_found
• ✅ Key fields include scraped_emails, scraped_phones, scraped_social_media, emails_found, pages_scraped, and scrape_status

Rate Limits & Performance

• ✅ Designed for bulk-style scraping by using controlled limits (maxBusinesses) and structured concurrency for website scraping

Limitations

• ❌ If a business has no website, it will be marked with scrape_status of no_website and scraped_emails will be empty.
• ❌ Email availability depends on what’s publicly present on each target business website.

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❓ FAQ

Is Architects Email Scraper a bulk email finder for architects?

✅ Yes. Architects Email Scraper is specifically set up as a bulk email finder for architects by searching your provided locations and then extracting emails (plus phone and social links) from business websites.

What inputs do I need to run it?

You must provide googleMapsLocation and googleMapsSearchTerm. You can also set maxBusinesses, choose whether limits apply per location with scrapeMaxBusinessesPerLocation, and optionally configure proxyConfiguration.

Does it extract phones and social media, or only emails?

✅ It extracts emails, phone numbers, and social media profiles. Emails go to scraped_emails, phones to scraped_phones, and social links to scraped_social_media.

Will it save results even if some businesses fail?

✅ Yes. Each business row includes scrape_status so you can distinguish success, failed, and no_website. Failed or unavailable website cases will produce empty email/phone/social arrays.

Can I control how many businesses are collected?

✅ Yes. Use maxBusinesses to set the maximum business count. If you enable scrapeMaxBusinessesPerLocation, the actor targets up to maxBusinesses results per location; otherwise it uses a single combined limit.

How does the output work when multiple emails are found?

When emails are found, the actor pushes flattened rows so you’ll see one dataset row per extracted email using email_found, while the rest of the business fields remain associated.

Do I need to use a proxy?

Not strictly. But ✅ proxy configuration is recommended for larger-scale scraping. You can set proxyConfiguration and it includes proxy support.

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🤝 Support & feature requests

Have questions or want improvements for Architects Email Scraper? We’d love to hear from you.

• 💡 Feature Requests: Example ideas include adding additional export formats, improving dataset row structure, or expanding extraction coverage for more contact fields.
• 📧 Contact: Reach out via dataforleads@gmail.com.

Your feedback helps shape the roadmap for future versions of this architects email scraper.

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If you want an SEO-optimized architects email scraper that’s built for real-world outreach workflows, Architects Email Scraper makes it easy to collect and structure contact data at scale.

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Disclaimer

This tool only 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 platform terms (including GDPR/CCPA where relevant) and for respecting each source’s policies and rate limits. For data removal requests, contact dataforleads@gmail.com.

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