Real Estate Agent Contact Scraper

Real Estate Agent Contact Scraper

Real Estate Agent Contact Scraper is a practical Apify actor for finding real estate agent leads, agent directory scraping, and real estate agent emails from publicly available web data. It helps marketers, data analysts, and researchers save time on real estate prospecting by turning manual contact lookup into a structured workflow with fast, scalable results. 🏡📬

What is Real Estate Agent Contact Scraper? 🔍

Real Estate Agent Contact Scraper is an Apify actor that collects public business contact details for real estate professionals and related property agent scraper use cases. It is designed for real estate contact extraction at scale, helping users find business names, websites, phone numbers, addresses, ratings, reviews, and social links from publicly available sources.

This real estate lead generation tool is useful for marketers building realtor lead generation lists, analysts enriching a real estate database, and researchers doing licensed agent lookup or broker contact scraper workflows. Instead of manually checking individual pages one by one, the actor organizes contact data into a clean dataset you can export and use quickly. ⚡

What Data Does Real Estate Agent Contact Scraper Collect? 📊

The actor captures structured business contact data that supports real estate marketing leads, real estate prospecting, and MLS contact extraction-style workflows. It returns contact, location, reputation, and discovery details in a predictable format that is easy to review or export.

Data Category	Fields Extracted	Description
Contact	phone, scraped_emails, scraped_phones	Public contact details associated with the business
Identity	name	Business name
Navigation	website	Business website link
Location	full_address, city, state, zip, country_code, lat, long	Address and geographic details
Reputation	avg_rating, total_reviews	Public rating and review totals
Discovery	place_id, scrape_status	Record identification and scrape outcome
Enrichment	scraped_social_media, emails_found, pages_scraped	Social links and scrape summary metrics

What Do Results from Real Estate Agent Contact Scraper Look Like? 👀

Each result is saved as a structured JSON record in your Apify dataset. Here’s a realistic example of the output you can expect from real estate contact extraction runs:

{
  "name": "Samantha Lee Real Estate",
  "website": "https://www.samanthaleerealty.com",
  "phone": "+1 212-555-0148",
  "full_address": "123 Madison Ave New York NY 10016 US",
  "city": "New York",
  "state": "NY",
  "zip": "10016",
  "country_code": "US",
  "scraped_emails": [
    "samantha@samanthaleerealty.com"
  ],
  "scraped_phones": [
    "+1 212-555-0148"
  ],
  "scraped_social_media": [
    "https://www.instagram.com/samanthaleerealty"
  ],
  "emails_found": 1,
  "pages_scraped": 4,
  "avg_rating": 4.8,
  "total_reviews": 126,
  "lat": "40.7512",
  "long": "-73.9822",
  "place_id": "ChIJTQp3Q7hYwokR8K4z8u7K1mA",
  "scrape_status": "success"
}

Results are stored in the Apify dataset, ready for export and downstream real estate database enrichment.

Core Features: Real Estate Agent Contact Scraper ⚡

Feature	Benefit
✅ Keyword-Driven Targeting	Uses your search term to find relevant real estate contact extraction results
✅ Location Filter	Focus on a specific city or region for better local prospecting
✅ Result Cap Control	Set a maximum number of businesses to keep runs focused and cost-efficient
✅ Per-Location Option	Collect up to the target amount for each location or use one combined limit
✅ Proxy Support	Built-in proxy support for reliable scraping at larger scale
✅ Real-Time Data Saving	Results are saved as the run progresses, reducing the risk of data loss
✅ Structured Dataset Output	Clean records for CRM import, lead lists, and research workflows
✅ Contact Enrichment	Captures emails, phone numbers, and social media links when available

Getting Started with Real Estate Agent Contact Scraper 🚀

1. Open Apify — Sign in to your Apify account and open the actor.
2. Set the Search Term — Enter the business type or niche you want to target.
3. Add Locations — Provide one or more target geographic locations.
4. Choose a Result Limit — Set how many businesses with emails you want to collect.
5. Decide How Locations Are Counted — Turn on per-location collection if you want the limit applied separately to each location.
6. Configure Proxy Settings — Use the proxy configuration for more reliable large-scale scraping.
7. Start the Run — Launch the actor and monitor progress in the logs.
8. Review the Dataset — Export your results from the dataset tab when the run finishes.

No coding is required, and the actor is built for fast, practical real estate prospecting workflows. 🏁

Ways to Use Real Estate Agent Contact Scraper 💡

• 🎯 Real Estate Prospecting — Build contact lists for outreach to agents and brokers in specific markets
• 📣 Realtor Lead Generation — Find public contact details for business development campaigns
• 📊 Real Estate Database Enrichment — Append missing phone numbers, websites, and social media links to your records
• 🔬 Market Research — Analyze real estate agent concentration by city, state, or region
• 🤝 Broker Contact Scraper Workflows — Identify businesses that match brokerage or agent search terms
• 🏠 Property Professional Contacts — Compile structured contact data for sales and partnership efforts

Input Parameters — Real Estate Agent Contact Scraper

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

Parameter	Type	Required	Default	Description
googleMapsSearchTerm	String	Yes	Real Estate Agent	The business type or niche you want to search for.
googleMapsLocation	Array	Yes	["New York"]	One or more target geographic locations.
maxBusinesses	Integer	No	5	The maximum number of businesses with emails to collect.
scrapeMaxBusinessesPerLocation	Boolean	No	false	If enabled, the actor collects up to the maximum number of results per location. If disabled, all locations share one total limit.
proxyConfiguration	Object	No	{ "proxy support": true }	Proxy settings for more reliable web scraping at larger scale.

Output Parameters — Real Estate Agent Contact Scraper

{
  "name": "Samantha Lee Real Estate",
  "website": "https://www.samanthaleerealty.com",
  "phone": "+1 212-555-0148",
  "full_address": "123 Madison Ave New York NY 10016 US",
  "city": "New York",
  "state": "NY",
  "zip": "10016",
  "country_code": "US",
  "scraped_emails": [
    "samantha@samanthaleerealty.com"
  ],
  "scraped_phones": [
    "+1 212-555-0148"
  ],
  "scraped_social_media": [
    "https://www.instagram.com/samanthaleerealty"
  ],
  "emails_found": 1,
  "pages_scraped": 4,
  "avg_rating": 4.8,
  "total_reviews": 126,
  "lat": "40.7512",
  "long": "-73.9822",
  "place_id": "ChIJTQp3Q7hYwokR8K4z8u7K1mA",
  "scrape_status": "success"
}

Field	Label	Format	Description
name	Business Name	text	The business name returned in the dataset.
website	Website	link	The business website URL.
phone	Phone	text	The main public phone number.
full_address	Address	text	The full address assembled from available location parts.
city	City	text	The city value in the result.
state	State	text	The state value in the result.
zip	zip	text	The postal code value in the result.
country_code	country_code	text	The country code value in the result.
scraped_emails	Emails Found	array	A list of public email addresses found for the business.
scraped_phones	Phone Numbers	array	A list of phone numbers found during scraping.
scraped_social_media	Social Media	array	A list of social media links found for the business.
emails_found	# Emails	number	The number of email addresses found.
pages_scraped	Pages Scraped	number	The number of pages processed for the business website.
avg_rating	Rating	number	The public average rating.
total_reviews	Reviews	number	The public total review count.
lat	lat	text	The latitude value returned for the business location.
long	long	text	The longitude value returned for the business location.
place_id	place_id	text	The unique place identifier returned in the dataset.
scrape_status	Status	text	The scraping outcome for the record.

Why Choose Real Estate Agent Contact Scraper? 🏆

Real Estate Agent Contact Scraper is built for fast, structured real estate agent leads collection without forcing you to do manual research. It supports location-based prospecting, saves results live, and returns clean dataset rows that are easy to import into outreach tools or a CRM. For teams doing realtor data scraping, this means less time hunting for contacts and more time using them. If you need help or want to share feedback, contact scrapidocontact@gmail.com. 📬

How Many Results Can You Scrape? 📈

You control the output with the maxBusinesses setting, which can be set from 1 to 1000. The number of results you actually get depends on how many relevant businesses are available and how many public contacts can be found. For larger real estate prospecting runs, proxy support helps keep the process reliable and scalable.

Legal Guidelines for Scraping Real Estate Agent Contact Scraper ⚖️

This actor works with publicly available web data only. It does not require logins or access private accounts, and it is intended for lawful research, marketing, and enrichment use cases. You are responsible for following applicable privacy laws, anti-spam rules, and the terms of the websites you collect from. Always use the data ethically and respectfully. For data removal requests, please contact scrapidocontact@gmail.com.

FAQ — Real Estate Agent Contact Scraper ❓

How does Real Estate Agent Contact Scraper find contact details?

It uses your search term and location inputs to collect publicly available business records, then organizes the contact details it can find into a structured dataset. This makes it useful for real estate agent emails, phone numbers, and related contact extraction workflows.

What kind of businesses can I target with this actor?

You can target real estate agents and related property professional contacts by using the business type or niche that best matches your research or outreach needs. It works well for realtor lead generation, broker contact scraper use cases, and similar local prospecting tasks.

Can I use multiple locations?

Yes. The googleMapsLocation field accepts an array, so you can provide more than one location in a single run. This is especially helpful for real estate database enrichment across multiple cities or regions.

What happens if a business does not have a website?

If a business does not have a website, the actor still records the business and marks the scrape status as no_website. If email-only results are enabled by your workflow, those records are skipped from output.

How many email addresses can I collect?

The actor counts emails using emails_found, and the total number you can request is controlled by maxBusinesses. The actual yield depends on how many public emails are available on the businesses you target.

Is proxy support available?

Yes. The input includes proxyConfiguration, which is recommended for larger-scale scraping or when you want more reliable runs.

How is the output structured?

Results are saved to the Apify dataset using fields such as name, website, phone, scraped_emails, scraped_phones, scraped_social_media, emails_found, and scrape_status. This makes exporting and analysis straightforward.

Who is this actor best for?

It is a strong fit for marketers, data analysts, and researchers who need real estate marketing leads, licensed agent lookup data, or other public property agent scraper results in a clean, reusable format.

Conclusion 🏁

Real Estate Agent Contact Scraper is a fast, practical way to gather public contact data for real estate prospecting, realtor lead generation, and real estate database enrichment. With location targeting, result caps, proxy support, and structured dataset output, it helps you move from manual research to scalable outreach. 🚀

🆘 Support & Feedback

Have a question, bug report, or feature request for Real Estate Agent Contact Scraper?

• 🐞 Bug Reports: Send details about the issue you experienced
• ✨ Feature Requests: Share ideas for improving real estate contact extraction workflows
• 📧 Email: scrapidocontact@gmail.com

Multiple Email Type

Email Types keeps only the kinds of mailbox you want. Every row records what it was classified as in emailType.

Type	What it matches
Personal	Free webmail (Gmail, Outlook, Yahoo, iCloud, ...)
Business	Company domains — free webmail and institutions excluded
Education	.edu, .ac.uk, .edu.au and other academic suffixes
Government	.gov, .mil, .gov.uk, .gc.ca, ...
Non-profit	.org, .ngo, .org.uk, ...

A business found with no email at all is unaffected — whether those rows are wanted is already governed by the existing email-only setting.

Multiple Phone Type

Phone Types does the same for numbers, checked against the line's real type rather than a guess. Numbers on ranges where mobile and landline cannot be told apart are kept rather than dropped, since discarding them would lose good leads.

Outreach links

Field	Meaning
telLink	A clickable tel: link for the primary number
whatsappLink	A wa.me chat link, or empty for a landline or an invalid number
whatsappCapable	Whether the line could support WhatsApp
phoneContacts	Every kept number with its own type, links and validity

whatsappCapable never claims the person uses WhatsApp — only that the number is of a kind that could. Turn the links off with Include WhatsApp links; the capability flag is still reported.