FastExpert Scraper — Real Estate Agent Leads, Reviews & Production Stats (Emails & Phones)

Extract complete real estate agent data from FastExpert — the fields other agent scrapers leave empty: real contact emails, direct cell phones, brokerage, state license numbers, production stats (recent transactions, sales volume, average sale price), ratings, reviews, areas served and the agent's own website + social links. Every record is a ready-to-contact agent lead, scored 0–100.

No login, no cookies, no browser — fast JSON extraction with 99%+ reliability on clean US datacenter proxies.

Why this FastExpert scraper?

Most real estate agent scrapers run on anti-bot-walled portals (Realtor.com, Zillow) that need residential proxies and CAPTCHA solvers — and still return null for the email. This actor reads FastExpert's clean server-rendered data and ships the richest agent dataset in the category, including the direct emails:

Data	Typical scrapers	This actor
Agent contact email	❌ null / extra fee	✅ included on every record
Direct phone + cell phone	partial	✅ both
Brokerage / company + license number	partial	✅
Production stats (recent transactions, sales, avg sale price)	❌	✅
Ratings + review count + full reviews	partial	✅
Years of experience, year licensed, agent ranking	❌	✅
Agent's own website + Facebook / LinkedIn / Zillow / Trulia	❌	✅
Areas served, designations, awards	❌	✅ opt-in
Geo (lat/lng), full address	❌	✅
Lead score (0–100) per agent	❌	✅
Monitoring mode (only new agents)	❌	✅
Works on cheap datacenter proxies (no CAPTCHA)	❌	✅

Use cases

• Lead generation — real estate agents are active B2B buyers: they need CRMs, lead vendors, transaction tools, marketing, photography, staging, mortgage and title partners. Score agents by production (recentTransactions, salesUploaded, averageSalePrice) and reach them directly via email, phone/cellPhone, website and socials.
• Recruiting & brokerage growth — find top-producing agents in any market by transactions, reviews and rating, then recruit them to your brokerage or team.
• Proptech & martech sales — build targeted lists of active agents by city, state, specialization and performance for outbound and ABM.
• Market & competitor intelligence — track which agents and brokerages dominate a metro, their review velocity and average sale prices.
• Mortgage, title & insurance partnerships — agents drive referrals; build a partner pipeline with verified contact data.

How to use

1. Sign up for Apify — the free plan is enough to try this actor.
2. Open the FastExpert Scraper, enter locations (Austin, TX, or a whole state like Texas) or paste FastExpert URLs, and click Start.
3. Watch agent leads stream into the dataset table.
4. Export as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the Apify API.

Input

{
    "locations": ["Austin, TX", "Miami, FL"],
    "maxAgentsPerCity": 75,
    "maxAgents": 200,
    "includeAgentDetails": true,
    "includeReviews": false,
    "minTransactions": 10,
    "withEmailOnly": true,
    "monitorMode": false
}

• locations — City, ST (e.g. Austin, TX, San Antonio, TX, Miami, FL) for a city, or a state name/abbreviation (Texas, FL) to auto-discover that state's cities.
• startUrls — FastExpert agent profiles (/agents/<name>-<id>/), city listings (/top-real-estate-agents/austin-tx/) or state hubs (/top-real-estate-agents/texas/).
• maxAgentsPerCity / maxAgents / maxCitiesPerState — limits.
• minRating / minReviews / minTransactions / specialization / withEmailOnly / withPhoneOnly — filters to target active, top-producing agents.
• includeAgentDetails (default true) — open each profile for license number, full bio, designations, awards, areas served, total sales last year and the full review list. Turn off for fast, low-cost bulk leads — the city listing already includes email, phone, brokerage, website, socials, geo, ratings and production stats.
• includeReviews (default false) — also output review records (type: "review").
• enrichContactEmails (default false) — crawl the agent's own website (home + contact/about) for extra emails, phones and socials.
• deduplicateAgents (default true) — emit each agent once per run.
• monitorMode (default false) — emit only agents not seen in previous runs (pairs with Schedules to track new agents in a market).

Output

One record per agent (type: "agent"), plus optional review records (type: "review"):

{
    "type": "agent",
    "agentId": "68958",
    "slug": "meryl-hawk-68958",
    "profileUrl": "https://www.fastexpert.com/agents/meryl-hawk-68958/",
    "fullName": "Meryl Hawk",
    "firstName": "Meryl",
    "lastName": "Hawk",
    "title": "Real Estate Agent",
    "email": "meryl.hawk@cbrealty.com",
    "phone": "(512) 937-7056",
    "cellPhone": "(512) 937-7056",
    "website": "https://www.merylhawk.com",
    "socialLinks": {
        "facebook": "https://www.facebook.com/MerylHawkRealtor",
        "linkedin": "https://www.linkedin.com/in/merylhawkrealtor/",
        "zillow": "https://www.zillow.com/profile/merylhawk"
    },
    "brokerage": "Coldwell Banker United Realtors",
    "brokerageUrl": "https://www.fastexpert.com/real-estate-company/coldwell-banker-united-realtors-austin-tx-11136/",
    "address": "609 Castle Ridge Rd. Suite 440",
    "city": "Austin",
    "state": "TX",
    "zipCode": "78746",
    "latitude": 30.29729,
    "longitude": -97.81054,
    "specialization": "Residential",
    "licenseNumber": "609315",
    "licenseName": "Texas Real Estate License",
    "rating": 5,
    "reviewCount": 230,
    "reviewTags": ["Professional", "Responsive", "Communicative", "Knowledgeable"],
    "agentRanking": 489,
    "yearsExperience": 15,
    "yearLicensed": 2011,
    "recentTransactions": 124,
    "salesUploaded": 157,
    "averageSalePrice": "$896.7K",
    "totalSalesLastYear": "$12M",
    "designations": ["CRS", "RENE", "ABR", "GRI", "CLHMS"],
    "awards": ["2026 Top 25 Agent – Texas", "2026 Top Agent – Austin, TX"],
    "areasServed": ["Austin", "Dripping Springs", "Pflugerville"],
    "languages": ["English"],
    "imageUrl": "https://assets.fastexpert.com/.../68958_thumb_300.jpg",
    "leadScore": 96,
    "searchLocation": "Austin, TX",
    "scrapedAt": "2026-06-15T21:00:00.000Z"
}

Automate & schedule

Run this actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets, and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it daily/weekly with monitorMode to capture only new agents in a city or state; perfect for recruiting and lead pipelines.
• Webhooks — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/fastexpert-agent-scraper').call({
    locations: ['Austin, TX'],
    maxAgents: 200,
    minTransactions: 10,
    withEmailOnly: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} agent leads`);

Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new agent leads straight into your CRM.
• Slack — get notified when a monitored market gets new agents.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find the top-producing real estate agents in Austin and list their contact details" and let it run this scraper for you.

More scrapers from scrapesage

Build a complete local-business & B2B lead-gen stack:

• Rent.com Scraper — US rental listings, property managers & contacts.
• Healthgrades Scraper — doctors, reviews & provider leads.
• FindLaw Scraper — lawyers, law firms & leads.
• TaxBuzz Scraper — CPAs, accountants & tax-preparer leads.
• Insurance Agent Scraper — State Farm & Farmers agent leads.
• Houzz Scraper — home pros, contacts & reviews.
• Bark Listing Scraper — local service-provider leads.
• DesignRush Scraper — agencies, services & B2B leads.

Tips

• Whole states: put a state in locations (e.g. Texas) and set maxCitiesPerState to scrape its largest cities; raise maxAgents to go wide.
• Top producers only: set minTransactions (e.g. 10) and/or minReviews to focus on active, high-volume agents.
• Cheapest bulk leads: turn includeAgentDetails off — the city listing already carries email, phone, brokerage, website, socials, geo, ratings and production stats, so you get rich leads with one request per page.
• Recurring monitoring: combine Schedules with monitorMode to capture only newly listed agents.
• Proxies: keep the default Apify datacenter proxy (US) — FastExpert serves clean pages, no residential or CAPTCHA needed.

FAQ

How do I scrape real estate agents for a specific city? Put the city in locations as City, ST (e.g. Austin, TX). For a whole state, use the state name (Texas) and set maxCitiesPerState.

Where do the emails come from? FastExpert publishes each agent's brokerage contact email on their listing — this actor reads the same public data a visitor sees, so most agent records include an email with no extra step. With enrichContactEmails on, it also crawls the agent's own website for additional contacts.

Can I get only top-producing agents? Yes — use minTransactions, minReviews and minRating to keep only active, well-reviewed agents.

Can I export to Google Sheets, CSV, or Excel? Yes — one click in the dataset view, or automatically on every run via the Google Drive integration.

How do I monitor new agents automatically? Turn on monitorMode and create a Schedule (e.g. weekly). The actor remembers agents from earlier runs and emits only new ones — independent of the scheduler, which just decides when to run.

Is scraping FastExpert legal? This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (GDPR/CCPA for personal data) and FastExpert's terms.

A field is null — why? Some agents genuinely don't publish a website, second phone or every stat. Fields are null only when the data doesn't exist, not because the scraper skipped them.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome — this actor is actively maintained.