SRES Realtor Directory Scraper
Pricing
from $4.00 / 1,000 results
SRES Realtor Directory Scraper
Extract every listing from the SRES® member directory — names, contact info and locations of REALTORS® specializing in the 50+ seniors market.
Pricing
from $4.00 / 1,000 results
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Epic Scrapers
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SRES Realtor Directory Scraper — Senior Real Estate Specialist (SRES®) Leads
Scrape the official sres.realtor directory to build a complete, clean, ready-to-use dataset of every Seniors Real Estate Specialist® (SRES®) designee across the United States and Canada.
The SRES® designation is awarded by the National Association of REALTORS® to agents who specialize in helping clients aged 50+ buy, sell, or relocate. This is a small, high-intent, high-value niche — which makes it one of the best targeted lead sources available for anyone selling into the senior housing and real estate space.
This actor turns that public directory into a structured dataset in minutes, with no manual searching, copy-pasting, or clicking through hundreds of agent profiles.
Who is this for?
- Real estate marketing agencies running targeted outreach or ad campaigns to senior-focused agents
- SaaS & martech companies building tools, CRMs, or lead-gen products for the senior housing market
- Data analysts & researchers studying the seniors real estate niche or agent distribution by region
- Recruiters & brokerages identifying and reaching out to agents with the SRES® designation
- Senior living communities & service providers looking to partner with locally trusted agents
Why scrape this directory instead of doing it manually?
The official directory is easy to browse one agent at a time, but there's no built-in way to export the full list. Doing this by hand across thousands of agents in every US state and Canadian province would take days. This actor automates the entire process — crawling the directory, visiting each listing, and extracting standardized fields — so you get a complete dataset in a single run.
What data you get per listing
Each row in the output dataset includes:
| Field | Description |
|---|---|
| Full Name | Agent's first and last name |
| Email Address | Direct contact email (where publicly listed) |
| Phone Number | Direct or office phone number |
| Office / Agency Name | The brokerage or agency the agent is affiliated with |
| Street Address | Office street address |
| City | City of the office/agency |
| State / Province | State (US) or province (Canada) |
| ZIP / Postal Code | ZIP or postal code |
| Country | US or Canada |
| SRES® Designation Status | Confirms active SRES® designation |
The result is a clean, deduplicated table you can filter by state, city, or country, and plug directly into a CRM, spreadsheet, or outreach tool.
Sample output
{"fullName": "Jane Smith","email": "jane.smith@example-realty.com","phone": "+1 (555) 123-4567","officeName": "Example Realty Group","streetAddress": "123 Main St","city": "Scottsdale","state": "AZ","zip": "85251","country": "United States","sresDesignation": "Active"}
How it works
- The actor crawls the sres.realtor directory across all available states/provinces.
- It visits each individual agent listing page.
- It extracts and normalizes the contact and location fields listed above.
- Results are streamed into a structured dataset as the run progresses, so you can export partial results at any time.
- When the run completes, you get one unified dataset covering the entire directory.
Output formats
Export your results in whichever format fits your workflow:
- JSON / JSON Lines
- CSV
- Excel (XLSX)
- HTML table
- Direct integration via API for automated pipelines
Use case examples
- Targeted email/direct mail campaigns to SRES® agents in specific ZIP codes or states
- Building a partner network for a senior relocation, downsizing, or estate-sale service
- Market research on the geographic density of SRES®-certified agents
- Lead lists for CRM import segmented by region for a sales team
- Competitive analysis for companies already selling tools to this niche
Frequently asked questions
Is this data public? Yes — all information comes from the publicly accessible sres.realtor directory. This actor only automates collection of data that agents have already chosen to list publicly.
How often is the directory updated? The source directory is updated by NAR/SRES as agents earn or renew their designation. Re-run this actor periodically to keep your dataset current.
Does this cover both the US and Canada? Yes, the actor covers all states and Canadian provinces represented in the directory.
Can I filter results by state before running? Check the actor's input schema — depending on configuration, you may be able to scope the run to specific states/provinces to save time and compute units.
Get started
Click Run to start scraping, or use the API/CLI to integrate this actor into your own automated lead-generation pipeline. Results are ready to download or push directly into your existing tools as soon as the run finishes.
