Realtor.com Agents By Zip Code Scraper
Pricing
$19.99/month + usage
Realtor.com Agents By Zip Code Scraper
🏠 Realtor.com Agents by Zip Code Scraper collects local agent profiles by ZIP — names, brokerages, phone, ratings, reviews, listings & service areas. ⚙️ Export to CSV/JSON or API. 🚀 Ideal for lead gen, outreach, competitor analysis & real estate market research.
Pricing
$19.99/month + usage
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0.0
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Developer
ScrapeBase
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
15 days ago
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Realtor.com Agents By Zip Code Scraper
Realtor.com Agents By Zip Code Scraper is a location-targeted web scraping actor that collects structured Realtor.com agent data by ZIP code. It solves the tedious, manual effort of browsing agent lists and profiles by automating pagination and deep profile extraction — ideal for marketers, developers, data analysts, and researchers who need a clean real estate agent directory for lead gen, outreach, and market analysis at scale. With concurrent profile processing and robust proxy fallback, it delivers reliable, ready-to-use datasets you can export or stream via API. 🚀
What data / output can you get?
Below are the exact fields the actor pushes to the Apify dataset for each agent profile. You can export the results to JSON, CSV, or Excel from the dataset.
| Data field | Description | Example value |
|---|---|---|
| zip_code | ZIP code used for the search | “07101” |
| agent_name | Full name plus type string (“agent” or “non-realtor”) | “John Doe, agent” |
| website | Realtor.com agent profile URL (constructed from fulfillment_id) | “https://www.realtor.com/realestateagents/123456” |
| Email from profile (field reserved; Realtor.com API does not expose this) | null | |
| listing_count | Active for-sale listing count | 5 |
| sold_count | Recently sold annual count | 12 |
| office_phone | Office phone (from office or fallback from agent phones) | “(555) 123-4567” |
| mobile_phones | Comma-separated list of mobile numbers from profile phones | “(555) 987-6543” |
| areas_serviced | Comma-separated served area names | “Newark, Jersey City, Hoboken, Union City” |
| zip_codes_serviced | Reserved for ZIP coverage (not provided by API) | null |
| office_company_name | Office name, falling back to broker name if office is missing | “ABC Realty” |
| company_website | Office website, falling back to broker website if office is missing | “https://www.abcrealty.com” |
| review_count | Total reviews count | 25 |
| agent_photo | Avatar image URL | “https://ap.rdcpix.com/…” |
Notes:
- The email and zip_codes_serviced fields are present for compatibility but are typically null because the underlying API does not provide them.
- Export your dataset in JSON, CSV, or Excel directly from Apify.
Key features
-
🔁 Automatic proxy fallback with sticky residential mode
Starts without a proxy to minimize overhead, then seamlessly falls back to Apify datacenter proxy and finally to residential proxy with retries and “sticky” mode if blocks are detected — boosting resilience and success rates. -
📄 Smart pagination + parallel profile deep dives
Fetches agents in pages (24 per page) and concurrently processes detailed profiles in batches for speed and throughput without overwhelming the source. -
🧭 Sortable results by strategy
Control the order of returned agents using sortOrder with supported values: RELEVANT_AGENTS, RATINGS_REVIEWS, MOST_SALES, MOST_RECENT_ACTIVITY, TESTIMONIALS_RECOMMENDATIONS. -
📥 Live dataset writes for streaming workflows
Results are pushed to the dataset as they’re extracted, enabling near real-time consumption via the Apify API. -
💾 Flexible export formats
Download outputs as JSON, CSV, or Excel from the Apify dataset to feed CRMs, BI tools, and enrichment pipelines. -
🔒 No login required
Works with publicly available Realtor.com endpoints — no account or cookies needed. -
🧑💻 Developer-friendly and automation-ready
Integrate via Apify’s REST API or SDKs, and orchestrate with tools like Make, n8n, or internal schedulers for repeatable pipelines. -
🛠️ Production-grade reliability
Built with retries, exponential backoff, and robust proxy handling to reduce failures and maximize consistency.
How to use Realtor.com Agents By Zip Code Scraper - step by step
-
Sign in to Apify
Create a free Apify account or log in. -
Open the actor
Find “Realtor.com Agents By Zip Code Scraper” in the Apify Store. -
Add input ZIP codes
In the zipCodes field, paste one or more ZIPs (e.g., “07101”, “00501”). The editor supports string lists for bulk runs. -
Configure limits
Set maxItemsPerZipcode (default 100, min 1, max 1000) to control how many agents you collect per ZIP. -
Choose sort order
Select sortOrder to prioritize results: RELEVANT_AGENTS (default), RATINGS_REVIEWS, MOST_SALES, MOST_RECENT_ACTIVITY, or TESTIMONIALS_RECOMMENDATIONS. -
Review proxy settings
The proxyConfiguration editor defaults to no proxy. The actor starts without a proxy and automatically falls back to datacenter then residential proxies if requests are blocked. -
Run the actor
Click Start. The scraper paginates through results and processes detailed profiles concurrently. You’ll see live logs and items appear in the dataset as they’re pushed. -
Export results
Go to the Dataset tab to download your results in JSON, CSV, or Excel — or connect via the Apify API for programmatic access.
Pro tip: Schedule runs for periodic refreshes and pipe the dataset to your CRM or analytics stack via the Apify API for hands-free enrichment.
Use cases
| Use case | Description |
|---|---|
| Lead generation lists for agencies | Build hyperlocal agent rosters by ZIP to fuel targeted outreach and sales campaigns with verified phone and company data. |
| Brokerage competitor benchmarking | Compare local brokerage presence and activity by aggregating listing_count, sold_count, and review_count across ZIPs. |
| Marketing outreach enrichment | Append agent profiles with phones, websites, and areas_serviced to improve personalization and deliverability. |
| Product features in real estate apps | Power “find agents near me” experiences by ZIP with structured agent_name, website, and office_company_name fields. |
| Data analytics & market research | Analyze performance signals (e.g., sold_count, review_count) across geographies for trend detection and segmentation. |
| Academic/industry studies | Assemble reproducible datasets for regional representation, market dynamics, and coverage analysis. |
| API-driven pipelines | Stream structured results into ETL workflows via the Apify API for continuous, automated data refresh. |
Why choose Realtor.com Agents By Zip Code Scraper?
This scraper prioritizes precision, automation, and reliability for production data workflows.
- ✅ Accurate, structured output aligned to a defined schema
- ⚙️ Scales across many ZIP codes with concurrent profile processing
- 🧑💻 Developer access via Apify API and SDKs for seamless integration
- 🔐 Public-data-only approach — no login or cookies required
- 🌍 Robust proxy strategy with automatic fallback and sticky residential mode
- 💸 More reliable than brittle browser extensions or manual copy-paste
- 🔄 Consistent results with retries and exponential backoff
In short, it’s a production-ready Realtor.com agent directory scraper built for dependable, repeatable data extraction.
Is it legal / ethical to use Realtor.com Agents By Zip Code Scraper?
Yes — when used responsibly. This actor collects publicly available information and does not access private or authenticated data.
Guidelines for compliant use:
- Scrape only public pages and fields.
- Respect website terms and avoid causing excessive load.
- Comply with applicable regulations (e.g., GDPR, CCPA) and internal policies.
- Use the data ethically for research, analytics, and outreach within legal bounds.
- Consult your legal team for edge cases or jurisdiction-specific requirements.
Input parameters & output format
JSON input example
{"zipCodes": ["07101", "00501"],"maxItemsPerZipcode": 100,"sortOrder": "RELEVANT_AGENTS","proxyConfiguration": {"useApifyProxy": false}}
Input fields
| Field | Type | Description | Default | Required |
|---|---|---|---|---|
| zipCodes | array (stringList editor) | List of zip codes to scrape agents from (e.g., ["07101", "00501"]). Supports bulk input. | none | Yes |
| maxItemsPerZipcode | integer | Maximum number of agents to extract per zip code. Min 1, Max 1000. | 100 | No |
| sortOrder | string (enum) | Sort order for agent results. One of: RELEVANT_AGENTS, RATINGS_REVIEWS, MOST_SALES, MOST_RECENT_ACTIVITY, TESTIMONIALS_RECOMMENDATIONS. | RELEVANT_AGENTS | No |
| proxyConfiguration | object (proxy editor) | Choose which proxies to use. Starts with no proxy by default; if blocked, it automatically falls back to datacenter, then residential proxy with retries. | none (editor prefill sets useApifyProxy: false) | No |
JSON output example
{"zip_code": "07101","agent_name": "John Doe, agent","website": "https://www.realtor.com/realestateagents/123456","email": null,"listing_count": 5,"sold_count": 12,"office_phone": "(555) 123-4567","mobile_phones": "(555) 987-6543","areas_serviced": "Newark, Jersey City, Hoboken, Union City","zip_codes_serviced": null,"office_company_name": "ABC Realty","company_website": "https://www.abcrealty.com","review_count": 25,"agent_photo": "https://ap.rdcpix.com/..."}
Notes:
- email and zip_codes_serviced are typically null because the source API does not provide these values.
- Some fields (mobile_phones, areas_serviced, office_phone, agent_photo) may be null or empty if not present on the profile.
FAQ
How accurate is the Realtor.com Agents By Zip Code Scraper?
It extracts real-time, publicly available agent data directly from Realtor.com endpoints and processes detailed profiles per agent. Fields are normalized to a consistent schema for reliable downstream use.
Do I need a Realtor.com account or login?
No. The actor works without any login or cookies and only accesses publicly available data.
How many agents can I scrape per ZIP?
You can control this with maxItemsPerZipcode (default 100, up to 1000). The scraper paginates 24 results per page and stops when the limit or available results are reached.
What sort orders are supported?
The sortOrder parameter supports: RELEVANT_AGENTS, RATINGS_REVIEWS, MOST_SALES, MOST_RECENT_ACTIVITY, and TESTIMONIALS_RECOMMENDATIONS.
Which data fields are included in the output?
Each record includes: zip_code, agent_name, website, email, listing_count, sold_count, office_phone, mobile_phones, areas_serviced, zip_codes_serviced, office_company_name, company_website, review_count, and agent_photo.
Does the scraper collect emails?
An email field is included for compatibility, but the Realtor.com API used here does not expose emails; this field is typically null.
Can I export results to CSV/JSON/Excel?
Yes. After the run, open the Dataset and export to JSON, CSV, or Excel. You can also consume the dataset via the Apify API.
How does the proxy setting work?
By default, the actor starts without a proxy. If a request is blocked or rejected, it automatically falls back to an Apify datacenter proxy, then to a residential proxy with retries and sticky residential mode for subsequent requests.
Can I run this across many ZIP codes or nationwide?
Yes. Provide a bulk list in zipCodes and the actor will iterate through each ZIP, paginate results, and process profiles concurrently for scalable coverage.
Closing CTA / Final thoughts
Realtor.com Agents By Zip Code Scraper is built to deliver clean, structured agent datasets for lead generation, outreach, and market research.
With automatic proxy fallback, concurrent processing, and a consistent output schema, it helps marketers, developers, analysts, and researchers turn ZIP-based agent searches into reliable, export-ready data. Hook it up to the Apify API for automated pipelines and scheduled refreshes.
Start extracting smarter Realtor.com agent insights by ZIP — and scale your data workflows with confidence.
