Realtor Agents Scraper

What does Realtor Agents Scraper do?

Realtor Agents Scraper collects structured real estate agent data from Realtor.com search result pages across U.S. cities, states, and ZIP codes. Give it a public Realtor.com agent search URL, choose how many records and pages to collect, and receive agent profiles with brokerage details, ratings, review counts, listing activity, price ranges, services, and recent sales information.

The dataset is useful for real estate lead generation, brokerage research, market coverage analysis, CRM enrichment, and recurring monitoring. Results can be downloaded from Apify in JSON, CSV, Excel, or XML, or passed to connected tools through the Apify platform.

Why use Realtor Agents Scraper?

• Build market-specific agent lists - Collect agents for a city, ZIP code, buyer intent, seller intent, or both.
• Prioritize prospects - Compare ratings, reviews, testimonials, current listings, recent sales, and price ranges.
• Research brokerages - Identify the broker and office associated with each agent and compare local presence.
• Enrich sales workflows - Export profile URLs and structured activity signals to a CRM, spreadsheet, or internal database.
• Monitor changes over time - Schedule repeat runs to track agent rankings, listing activity, and market coverage.
• Control collection size - Set a result limit and a page limit for quick tests or larger market pulls.

What data can you extract from Realtor.com?

Each dataset item represents one unique agent found in the selected Realtor.com search results.

Field	Type	Description
agent_id	String	Unique Realtor.com agent identifier.
profile_url	String	Direct Realtor.com profile URL.
full_name	String	Agent full name.
broker_name	String	Brokerage name.
broker_fulfillment_id	String	Broker fulfillment identifier when available.
office_name	String	Office or agency name.
avatar_url	String	Agent profile image URL when available.
is_realtor	Boolean	Whether the profile is marked as REALTOR.
is_paid	Boolean	Whether the result has paid placement.
display_ratings	Boolean	Whether ratings are displayed for the profile.
average_rating	Number	Average customer rating.
reviews_count	Integer	Number of public reviews.
testimonials_count	Integer	Number of testimonials or recommendations.
fulfillment_id	String	Agent fulfillment identifier when available.
sorting_weight	Integer	Source ranking weight when available.
annual_min_price	Number	Lower end of the agent's annual transaction range.
annual_max_price	Number	Upper end of the agent's annual transaction range.
annual_price_range	String	Formatted annual transaction price range.
for_sale_count	Integer	Current for-sale listing count associated with the agent.
for_sale_min_price	Number	Lowest current for-sale listing price.
for_sale_max_price	Number	Highest current for-sale listing price.
last_listing_date	String	Date and time of the most recent listing when available.
recent_sales_count_12m	Integer	Sales count for the previous 12 months.
show_additional_recent_sales	Boolean	Whether more recent sales are available beyond the preview.
buyer_services	Array	Buyer-side services listed on the profile.
seller_services	Array	Seller-side services listed on the profile.
recent_sales_preview	Array	Recent sale snapshots with city, state, beds, baths, and photo URL.
location_slug	String	Location segment read from the input URL.
intent	String	Search intent, such as buy, sell, or both.
sort_by	String	Result sort mode read from the input URL.
rank_overall	Integer	Agent position in the collected result stream.
scraped_at	String	UTC timestamp for the collection time.

Fields that are not published for a particular agent are omitted from that dataset item.

How to scrape Realtor.com agent data

1. Open Realtor Agents Scraper in Apify Console.
2. Paste a public Realtor.com agent search URL into startUrl.
3. Set results_wanted and max_pages for the size of the run.
4. Enable Apify Proxy in proxyConfiguration when collecting larger or repeated datasets.
5. Run the Actor and review the dataset preview.
6. Download the results or connect the dataset to your CRM, spreadsheet, webhook, or API workflow.

The search URL controls the location and search options. The Actor reads URL segments such as intent-buy, intent-sell, intent-both, sort-relevantagents, sort-recentagents, agenttype-all, and agenttype-realtors when they are present.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	New York buyer search URL	Public Realtor.com agent search URL. The URL supplies the location, intent, sort mode, agent type, and starting page.
results_wanted	Integer	No	20	Maximum number of unique agent records to save.
max_pages	Integer	No	3	Maximum number of paginated result pages to process.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Apify Proxy settings for improving reliability during larger or repeated runs.

Output Data

The Actor writes one normalized record per unique agent to the default Apify dataset. The most useful fields for the dataset table include the following:

Field	Type	Description
full_name	String	Agent name shown in the result.
broker_name	String	Associated brokerage.
office_name	String	Associated office or agency.
profile_url	String	Direct profile link for follow-up research.
average_rating	Number	Public rating when available.
reviews_count	Integer	Public review count.
testimonials_count	Integer	Recommendation or testimonial count.
annual_price_range	String	Formatted annual transaction range.
for_sale_count	Integer	Current for-sale activity count.
recent_sales_count_12m	Integer	Recent sales activity over 12 months.
location_slug	String	Requested market identifier.
intent	String	Buyer, seller, or combined search intent.
rank_overall	Integer	Position in the collected results.
scraped_at	String	UTC collection timestamp.

See the complete field list in What data can you extract from Realtor.com? above.

Usage Examples

Basic City Run

Collect up to 20 buyer-focused agents from New York using three result pages at most:

{
  "startUrl": "https://www.realtor.com/realestateagents/new-york_ny/intent-buy/sort-relevantagents/agenttype-all/pg-1",
  "results_wanted": 20,
  "max_pages": 3
}

Seller-Focused Search

Collect up to 50 REALTOR profiles for seller intent in Miami:

{
  "startUrl": "https://www.realtor.com/realestateagents/miami_fl/intent-sell/sort-relevantagents/agenttype-realtors/pg-1",
  "results_wanted": 50,
  "max_pages": 5
}

Larger Market Collection

Collect up to 200 agents from Chicago and allow the run to process ten pages:

{
  "startUrl": "https://www.realtor.com/realestateagents/chicago_il/intent-buy/sort-relevantagents/agenttype-all/pg-1",
  "results_wanted": 200,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Sample Output

This example shows one dataset item with profile, performance, activity, service, and recent sale fields:

{
  "agent_id": "56bce3477e54f7010021e4a5",
  "profile_url": "https://www.realtor.com/realestateagents/56bce3477e54f7010021e4a5",
  "full_name": "Vasilis Kokoris",
  "broker_name": "Compass - Broker",
  "broker_fulfillment_id": "2107942",
  "office_name": "Compass",
  "avatar_url": "https://ap.rdcpix.com/acfb986efc7860e7ef7b819d4b5372adr-c2867483630rd-w144_h144.jpg",
  "is_realtor": true,
  "is_paid": true,
  "display_ratings": true,
  "average_rating": 5,
  "reviews_count": 35,
  "testimonials_count": 144,
  "fulfillment_id": "573038",
  "sorting_weight": 80,
  "annual_min_price": 180000,
  "annual_max_price": 1749000,
  "annual_price_range": "$180,000 - $1,749,000",
  "for_sale_count": 16,
  "for_sale_min_price": 225000,
  "for_sale_max_price": 1749000,
  "last_listing_date": "2026-06-26T18:01:43Z",
  "recent_sales_count_12m": 42,
  "show_additional_recent_sales": true,
  "buyer_services": [
    "Personalized neighborhood guidance",
    "Access to market insights",
    "Early access to new listings"
  ],
  "seller_services": [
    "Open houses",
    "Professional photography",
    "Home staging"
  ],
  "recent_sales_preview": [
    {
      "city": "East Elmhurst",
      "state_code": "NY",
      "beds": 1,
      "baths": 1,
      "photo": "https://ap.rdcpix.com/ba60d17b2cc0a155338a9849860c8253l-m420876391rd-w100_h67.jpg"
    }
  ],
  "location_slug": "new-york_ny",
  "intent": "buy",
  "sort_by": "relevantagents",
  "rank_overall": 1,
  "scraped_at": "2026-07-17T12:09:57.371Z"
}

Tips for Best Results

• Use a complete search URL - Open the Realtor.com agent results page in a browser first and copy its URL, including the location and search options.
• Start with a small run - Test with results_wanted: 20 and max_pages: 2 before collecting a full market.
• Use supported URL segments - intent-buy, intent-sell, and intent-both select the client intent; agenttype-realtors narrows results to REALTOR profiles.
• Allow enough pages - Set max_pages high enough for the requested result count. The run stops when it reaches the limit or no more results are available.
• Use a proxy for repeat collection - Apify Proxy can improve consistency for larger runs and scheduled monitoring.
• Expect source-dependent gaps - Ratings, prices, services, and sales metrics may be unavailable for some profiles.
• Review freshness - Realtor.com results can change, so schedule recurring runs when the dataset supports an ongoing workflow.

Integrations

• Google Sheets - Review agent lists, compare markets, and share research with a team.
• Airtable - Build searchable agent directories and outreach pipelines.
• HubSpot - Add agent profile URLs and market signals to CRM workflows.
• Make or Zapier - Trigger enrichment, notifications, or follow-up actions after a run.
• Webhooks - Send completed run data to a custom service.
• Apify API - Start runs and retrieve dataset records programmatically.

Export Formats

Apify datasets can be downloaded as JSON, CSV, Excel, XML, and other supported formats.

Frequently Asked Questions

How many agents can I collect per run?

The maximum is controlled by results_wanted, while max_pages controls how many result pages the run can process. The final count also depends on the number of unique agents available in the selected search.

Can I scrape multiple cities in one run?

No. This input schema accepts one startUrl per run. Use separate scheduled tasks or separate runs for additional cities and combine the datasets afterward.

Can I target buyer-only or seller-only agents?

Yes. Use a Realtor.com URL containing intent-buy, intent-sell, or intent-both. You can also use agenttype-realtors when you want REALTOR profiles.

Why are some fields missing from certain records?

Fields are missing when Realtor.com does not publish that value for a profile or search result. This is expected for optional ratings, services, price ranges, and sales details.

Do I need a proxy for every run?

No. Small test runs may work without a proxy, while Apify Proxy is recommended for larger, repeated, or scheduled collections.

How does pagination work?

The Actor starts from the page number in startUrl and processes later pages until it reaches max_pages, saves results_wanted unique records, or runs out of results.

Can I export the data to a CRM?

Yes. Download the dataset as CSV or JSON, use an Apify integration, or retrieve the dataset through the Apify API and map the fields into your CRM.

Is collecting Realtor.com agent data legal?

You are responsible for complying with Realtor.com terms of service, applicable privacy and data-protection laws, and any outreach rules that apply to your use case. Collect and use public data for lawful purposes, and avoid using it in ways that violate individual rights or platform rules.

Related Actors

• Propertyfinder Agent Scraper - Collect real estate agent profiles from Propertyfinder for UAE lead generation and agency research.
• Rightmove Agent Scraper - Gather UK estate agent and branch data from Rightmove.
• Domain.com.au Agents Scraper - Collect Australian real estate agent profiles from Domain.com.au.

Support

For issues, feature requests, or source changes, use the Issues tab or support channel on the Actor page in Apify Console. Include the input URL, run ID, and a short description of the result when reporting a problem.

Legal Notice

This Actor is intended for lawful collection and research using publicly available Realtor.com data. You are responsible for complying with Realtor.com terms of service, applicable laws, privacy requirements, and any restrictions on storing or contacting people represented in the dataset.