Realtor Agents Scraper

Extract Realtor.com agent listings in bulk, including names, broker/office details, ratings, sales activity, and pricing ranges. This scraper helps you collect agent data for lead generation, market research, and competitive analysis.

Features

• Agent profile extraction — Collect agent IDs, names, profile URLs, and avatar links.
• Performance signals — Capture ratings, review counts, testimonial counts, and recent sales activity.
• Broker and office context — Include brokerage and office names for each agent.
• Market-ready output — Export clean dataset items with pagination metadata and timestamps.
• Flexible entry points — Start from a direct Realtor search URL or build one using location and filters.

Use Cases

Agent Prospecting

Build targeted lists of active agents in specific cities. Use rating, review, and sales signals to prioritize outreach.

Brokerage Intelligence

Track broker and office visibility across local markets. Compare who appears most often in search results and where.

Market Coverage Analysis

Measure agent density and activity by location and intent. Spot markets with high competition or under-served segments.

CRM Enrichment

Feed structured agent records into CRMs and sales workflows. Keep prospect data fresh with scheduled runs.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	Realtor New York URL	Direct Realtor agents search URL (intent/sort/agent type are read from this URL).
results_wanted	Integer	No	20	Maximum agents to save.
max_pages	Integer	No	3	Maximum pages to visit per start URL.
proxyConfiguration	Object	No	{ "useApifyProxy": true }	Proxy settings for higher reliability.

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Output Data

Each dataset item may include:

Field	Type	Description
agent_id	String	Realtor agent identifier.
profile_url	String	Agent profile URL.
full_name	String	Agent full name.
broker_name	String	Brokerage name.
office_name	String	Office name.
avatar_url	String	Avatar image URL.
is_realtor	Boolean	REALTOR badge indicator.
is_paid	Boolean	Paid placement indicator.
average_rating	Number	Average rating value.
reviews_count	Integer	Review count.
testimonials_count	Integer	Testimonial/recommendation count.
for_sale_count	Integer	Active for-sale listings count.
recent_sales_count_12m	Integer	Sales in last 12 months.
annual_price_range	String	Price range summary.
buyer_services	Array	Buyer-side services list.
seller_services	Array	Seller-side services list.
location_slug	String	Location slug from input URL.
intent	String	Search intent for the page.
sort_by	String	Sort mode for the page.
rank_overall	Integer	Rank in paginated output stream.
scraped_at	String	Extraction timestamp (UTC).

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Usage Examples

Example 1: Basic City Run

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

Example 2: Build URL from Slug + Filters

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

Example 3: Larger Single-Market Pull

{
  "startUrl": "https://www.realtor.com/realestateagents/chicago_il/intent-buy/sort-relevantagents/agenttype-all/pg-1",
  "results_wanted": 100,
  "max_pages": 6
}

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Sample Output

{
  "agent_id": "56bce3477e54f7010021e4a5",
  "profile_url": "https://www.realtor.com/realestateagents/56bce3477e54f7010021e4a5",
  "full_name": "Vasilis Kokoris",
  "broker_name": "Compass",
  "office_name": "Compass",
  "is_realtor": true,
  "average_rating": 5,
  "reviews_count": 31,
  "testimonials_count": 144,
  "for_sale_count": 15,
  "recent_sales_count_12m": 42,
  "annual_price_range": "$180,000 - $1,425,000",
  "location_slug": "new-york_ny",
  "intent": "buy",
  "rank_overall": 1,
  "scraped_at": "2026-03-18T10:50:00.000Z"
}

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Tips for Best Results

Use Stable Search URLs

• Start from exact Realtor search result URLs.
• Keep URL filters aligned with your target market and audience.

Tune Result Limits

• Use results_wanted: 20 to validate quickly.
• Increase gradually for large production jobs.

Use Proxy Configuration

• Enable proxy usage for consistent page access.
• Keep concurrency moderate for stable runs.

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Integrations

Connect your dataset with:

• Google Sheets — Share and review agent lists quickly.
• Airtable — Build filtered directories and outreach pipelines.
• HubSpot — Sync agent leads into CRM workflows.
• Make — Automate post-processing and enrichment.
• Zapier — Trigger alerts or downstream actions.
• Webhooks — Send results to custom services in real time.

Export Formats

• JSON — Developer-friendly structured output.
• CSV — Spreadsheet and BI workflows.
• Excel — Reporting and operations teams.
• XML — Legacy and enterprise integrations.

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Frequently Asked Questions

How many agents can I collect?

You can collect as many as available across the pages you allow with max_pages, up to results_wanted.

Can I scrape multiple cities in one run?

Use one city URL per run. For multiple cities, create multiple scheduled tasks.

Why do some fields appear on some items but not others?

Some agents do not publish every metric. The scraper keeps records clean and omits empty values.

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

Yes. Use URL segments like intent-buy, intent-sell, or intent-both.

How can I reduce run time?

Keep results_wanted and max_pages small for quick runs, then scale once output looks correct.

Do I need a proxy for every run?

Not always, but proxy usage improves reliability for larger or repeated runs.

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Support

For issues or feature requests, use the Apify Console issue channel for this actor.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for lawful data collection and research workflows. You are responsible for complying with website terms and all applicable laws and regulations in your jurisdiction.