RE/MAX Agent Email Scraper
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RE/MAX Agent Email Scraper
RE/MAX Agent Email Scraper SD - RE/MAX Agent Email Scraper is a lead generation tool that extracts leads with public contact emails, account names and profile URLs from RE/MAX results by keyword, location and email domain - RE/MAX email extractor.
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Leads Scraper
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RE/MAX Agent Email Scraper: reaching agents who buy their own tools
The RE/MAX Agent Email Scraper collects agent contact emails that are publicly visible in Google's index alongside RE/MAX pages. The audience angle of the RE/MAX Agent Email Scraper is what separates it from the other franchise Actors: RE/MAX agents typically operate as independent contractors who fund their own marketing, technology and lead generation. That means the person behind the address is often the buyer, not a gatekeeper who forwards you to a corporate procurement process.
Set the yield expectation up front. RE/MAX indexes property listings far more than agent pages, so most rows carry an agent email without a resolvable profile URL. In a measured run, roughly ten parsed result blocks produced about seven unique emails but only one row with identity data and one resolved profile URL. The RE/MAX Agent Email Scraper is therefore an address-first tool with the weakest handle coverage of the four franchise Actors in this category.
RE/MAX agents publish contact details on listing and office pages because buyers, sellers and cooperating agents must be able to reach them directly.
The RE/MAX Agent Email Scraper reads only what Google already indexed from those public pages.
It queries remax.com specifically, so regional RE/MAX sites on other domains are outside its scope.
Who the RE/MAX Agent Email Scraper is for
Vendors selling directly to the producing agent run the RE/MAX Agent Email Scraper for personal CRM, IDX and single-agent websites, paid lead products, signage and print, and coaching. Mortgage loan officers, title and escrow partners and closing services use it to build relationships with individual high-production agents. Photographers, videographers, drone operators, recruiters and franchise development teams use the RE/MAX Agent Email Scraper to target agents who control their own budget.
What the RE/MAX Agent Email Scraper never does
The RE/MAX Agent Email Scraper never logs into RE/MAX, never uses a RE/MAX API and never opens the remax.com website. There is no browser, no JavaScript rendering, no authentication and no cookies in the pipeline. Every field comes from publicly indexed Google search results: titles, snippets and site labels.
Key features of the RE/MAX Agent Email Scraper
| Feature | What it does for an agent contact database |
|---|---|
Google site: targeting | Every query is scoped to remax.com so nothing off-brand leaks in |
| Query expansion | Base, quoted and intitle: phrasings plus one variant per query modifier |
| Structural parsing | Locates the <h3> title then the smallest surrounding block, never Google CSS class names |
| Domain-filtered extraction | Only addresses ending in your customDomains are kept |
| Global deduplication | One row per unique email across every query and every page |
| Email normalisation | Handles name [at] domain [dot] com, name (at) domain, name @ domain.com, domain .com, zero-width characters and the full-width at sign |
| Junk filter | Rejects placeholders such as email@, yourname@, test@, xxx@ and single-character locals |
| Boundary-correct matching | @gmail.com never matches inside @gmail.company or @gmail.com.br |
| Soft-wrap repair | Drops a hit that is only the tail of another address in the same block |
| Concurrency pool | An asyncio worker pool with a shared stop signal on maxEmails |
| Retries and block detection | Up to 3 attempts per page, exponential backoff, a fresh proxy session per request, and CAPTCHA or consent pages retried rather than counted as empty |
| Requeue of failures | Blocked or failed queries are retried once at the end of the run |
| Resumable state | Stored in the key-value store keyed by a hash of your input, saved on PERSIST_STATE, MIGRATING and ABORTING |
| Fallback parser | A Google layout change degrades the run to emails without account details, not to nothing |
| Run summary | Logs pages fetched, blocked pages, retries and emails per page |
With identity data on only about one in ten parsed blocks, the description field is doing quiet work in a RE/MAX Agent Email Scraper run.
It often carries the market and specialty context you would otherwise have taken from a profile page, so keep it in your export.
How the RE/MAX Agent Email Scraper works
- The RE/MAX Agent Email Scraper reads your input: keywords, location, email domains and limits.
- It builds Google queries with the
site:operator, for examplesite:remax.com "realtor" "@gmail.com" "Colorado Springs". - It fetches result pages through the Apify GOOGLE_SERP proxy with async
aiohttprequests. - It parses each result block structurally instead of by CSS class.
- It extracts addresses from the block text with a domain-filtered regex.
- It deduplicates globally and pushes each lead to the dataset immediately.
Base queries run before expanded variants, so the strongest RE/MAX results land first. Because the RE/MAX Agent Email Scraper writes rows as it finds them, an aborted run still leaves you everything collected so far.
Input reference for the RE/MAX Agent Email Scraper
| Field | Type | Default | Meaning |
|---|---|---|---|
keywords | array (required) | ["real estate agent", "realtor"] | Search terms describing the accounts you want |
location | string | "" | Optional location phrase added to every query |
customDomains | array | ["@gmail.com","@yahoo.com"] | Only emails on these domains are kept; the @ is optional |
maxEmails | integer 1-10000 | 20 | Stop after this many unique emails |
countryCode | string | "" | Two-letter country for the search proxy (US, GB, DE...) |
expandQueries | boolean | true | Search each keyword x domain pair in several phrasings |
queryModifiers | array | ["email","contact","listing agent","inquiries","broker"] | Extra words combined with each keyword when expansion is on |
maxPagesPerQuery | integer 1-50 | 30 | Page cap per query |
maxConcurrency | integer 1-20 | 5 | Parallel queries |
location is the highest-value input
Because handle coverage is thin, geography is how you make a RE/MAX Agent Email Scraper dataset targeted, which makes location the single most valuable input.
Start at metro level: Denver, Colorado Springs, Salt Lake City, Kansas City, Omaha, Albuquerque, Boise, Tucson, Greenville.
Then farm the suburb or neighborhood where an office concentrates: Littleton, Overland Park, Chandler, Ballantyne Charlotte, Sandy Springs, Fishers Indiana.
Write the phrase as a listing or office page prints it.
Overland Park beats Overland Park, Kansas, United States, and a suburb name usually beats a ZIP code, though a ZIP is worth a second run in dense counties.
Run one RE/MAX Agent Email Scraper job per market so you can attribute reply rates and so a single busy suburb does not consume the whole maxEmails budget.
countryCode guidance
Set countryCode to US, since this Actor targets remax.com. US routing keeps ambiguous names such as Aurora, Springfield and Kingston on the right pages.
If your market is Canada, note that Canadian RE/MAX inventory largely lives on a different domain that is out of scope here; Realtor.ca Email Scraper is the better Canadian source.
Example input
{"keywords": ["real estate agent", "realtor", "listing agent"],"location": "Colorado Springs","customDomains": ["@gmail.com", "@yahoo.com", "@outlook.com", "@aol.com"],"maxEmails": 400,"countryCode": "US","expandQueries": true,"queryModifiers": ["email", "contact", "listing agent", "inquiries", "broker"],"maxPagesPerQuery": 30,"maxConcurrency": 5}
Output reference for the RE/MAX Agent Email Scraper
Every dataset item written by the RE/MAX Agent Email Scraper carries all fourteen fields.
| Field | Meaning |
|---|---|
network | Platform name |
keyword | The keyword that produced the lead |
query | The exact Google query used |
title | Raw result title |
accountName | Account label Google prints |
fullName | Display name parsed from a profile-style title; empty for listing captions |
username | URL-safe handle when the platform exposes one; otherwise null |
profileUrl | Canonical account URL when a handle is known; otherwise empty |
url | Direct platform link when exposed, else the profile URL |
description | Bio or caption snippet, cleaned of labels and counters |
email | Lower-cased email address |
emailDomain | The matched domain |
possiblyTruncated | true when Google's snippet ellipsis touched the email |
foundAt | ISO 8601 UTC timestamp |
Example output
[{"network": "RE/MAX","keyword": "realtor","query": "site:remax.com realtor \"@gmail.com\" \"Colorado Springs\"","title": "Colorado Springs, CO Real Estate & Homes for Sale | RE/MAX","accountName": "RE/MAX","fullName": "","username": null,"profileUrl": "","url": "https://www.remax.com/co/colorado-springs/homes-for-sale","description": "Direct showing requests to the listing agent at m.eberhardt.homes@gmail.com.","email": "m.eberhardt.homes@gmail.com","emailDomain": "@gmail.com","possiblyTruncated": false,"foundAt": "2026-08-31T16:11:09Z"},{"network": "RE/MAX","keyword": "real estate agent","query": "site:remax.com \"real estate agent\" contact \"@yahoo.com\" \"Colorado Springs\"","title": "Sofia Marchetti - RE/MAX Real Estate Agent","accountName": "sofia-marchetti","fullName": "Sofia Marchetti","username": "sofia-marchetti","profileUrl": "https://www.remax.com/real-estate-agents/sofia-marchetti","url": "https://www.remax.com/real-estate-agents/sofia-marchetti","description": "Residential and relocation specialist serving El Paso County. Contact sofia.marchetti.re@yahoo.com.","email": "sofia.marchetti.re@yahoo.com","emailDomain": "@yahoo.com","possiblyTruncated": false,"foundAt": "2026-08-31T16:12:31Z"}]
The first row is overwhelmingly the common case: a usable address with username: null and an empty profileUrl.
The second is the agent-page case, which the RE/MAX Agent Email Scraper resolved on roughly one of ten parsed blocks in testing.
Treat any resolved profile link as a bonus rather than an expected field.
Use cases for the RE/MAX Agent Email Scraper
| Use case | How the RE/MAX Agent Email Scraper fits |
|---|---|
| Selling to the individual agent | RE/MAX agents commonly fund their own tools, so the recipient is often the decision maker |
| Personal CRM and website vendors | Reach agents who buy technology for themselves rather than through a brokerage |
| Paid lead and coaching products | Target producing agents in a specific metro |
| Mortgage, title and escrow | Build direct relationships with listing agents in your closing footprint |
| Listing media services | Find agents publishing inventory in a defined suburb |
| Recruiting | Source experienced agents by market for brokerage conversations |
| Cross-brand US list building | Merge with other franchise Actors and deduplicate on email |
Example run recipes
Three RE/MAX Agent Email Scraper configurations that work well in practice.
Front Range farm: keywords ["realtor", "real estate agent"], location Colorado Springs, countryCode US, maxEmails 400.
Suburban Kansas City: keywords ["listing agent", "realtor"], location Overland Park, domains ["@gmail.com", "@yahoo.com", "@outlook.com"].
Cross-brand build: run the RE/MAX Agent Email Scraper alongside the other franchise Actors, then merge and deduplicate on email before import.
Results you should realistically expect
In a measured run the RE/MAX Agent Email Scraper returned about seven unique emails per ten parsed result blocks, with identity data and a resolved profile URL on about one. That is solid address volume with the weakest handle coverage among the franchise Actors, exactly as the yield note describes. No volume is guaranteed, and totals move with keywords, domains, location and what Google has indexed.
If you need names and profile links on most rows, run Keller Williams Agent Email Scraper or Coldwell Banker Agent Email Scraper instead; both publish real agent profile pages. For higher raw email density with a similar listing-heavy shape, Century 21 Agent Email Scraper and Homes.com Email Scraper are the better choices.
Responsible use
RE/MAX agents publish these addresses so clients and cooperating agents can reach them, so make RE/MAX Agent Email Scraper outreach a relevant business offer rather than a blast. CAN-SPAM governs commercial email to US recipients, covering accurate headers, a physical address and an opt-out you honor promptly. CASL applies to Canadian recipients, the Spam Act to Australian ones, and GDPR with PECR to EU and UK ones; phone and SMS follow-up bring TCPA-adjacent rules into scope.
Fair Housing law is central to US real estate outreach.
Do not use the location input in the RE/MAX Agent Email Scraper to include or exclude people on the basis of protected characteristics, and keep your messaging neutral.
This is not legal advice; confirm your own obligations before you send.
Limitations of the RE/MAX Agent Email Scraper
- RE/MAX indexes property listings far more than agent pages, so most rows carry an agent email without a resolvable profile URL. This is the governing limitation, and handle coverage here is the lowest of the franchise Actors.
- The RE/MAX Agent Email Scraper only finds addresses that are publicly visible in Google's index.
- It queries
remax.com, so regional RE/MAX sites on other domains are out of scope. - Google caps a single query at roughly 300 results, which is why query expansion exists; keep
expandQuerieson. possiblyTruncated: truemeans Google's snippet ellipsis touched the address, so verify those rows before sending.usernameandprofileUrlpopulate only when Google exposes a handle; empty values are a Google limitation, not a bug.- The RE/MAX Agent Email Scraper requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials.
- Free Apify plans are capped at 100 emails per run; paid plans are uncapped.
- Results vary with keywords, domains and location, and no volume is guaranteed.
FAQ about the RE/MAX Agent Email Scraper
How many results should I expect?
In a measured run the RE/MAX Agent Email Scraper returned about seven unique emails per ten parsed result blocks, with identity data on about one.
Widen keywords, domains and markets if a run finishes short of your maxEmails target.
Why is profileUrl empty on almost every row?
Because RE/MAX indexes property listings far more than agent pages, Google usually prints no agent handle for the Actor to build a link from. The address is still real and usable; only the profile link is missing.
Does the RE/MAX Agent Email Scraper log into RE/MAX?
No. It reads publicly indexed Google results only, with no login, no API and no site visits.
Does the RE/MAX Agent Email Scraper cover RE/MAX outside the United States?
It queries remax.com. Regional RE/MAX sites on other domains are out of scope, so use a market-appropriate Actor for those countries.
What should I put in location?
A metro or suburb as a listing page prints it: Colorado Springs, Overland Park, Chandler, Boise.
Geography is your main targeting lever here, because identity data is sparse.
Should I set countryCode?
Yes, use US. It keeps ambiguous city names on US pages and stops the page budget leaking abroad.
Which email domains should I use?
Start with @gmail.com and @yahoo.com, then add @outlook.com, @hotmail.com, @aol.com and @icloud.com.
Office domains work when you already know which RE/MAX office you are targeting.
How do I get more emails from one RE/MAX Agent Email Scraper run?
Raise maxEmails above the default of 20, keep expandQueries on, and add keywords such as listing agent, broker associate and buyer agent.
Several suburb-level runs usually outperform one statewide run.
What does possiblyTruncated mean?
Google's snippet ellipsis touched the address, so it may be incomplete. Verify those rows before adding them to a sequence.
Can I resume an interrupted RE/MAX Agent Email Scraper run?
Yes. State lives in the key-value store keyed by a hash of your input and is saved on PERSIST_STATE, MIGRATING and ABORTING.
A whole-page fallback parser also keeps the run producing emails if Google changes its markup mid-flight.
How do I export the data?
Download the RE/MAX Agent Email Scraper dataset as CSV, JSON or Excel from the Apify console, or pull it through the Apify API into your CRM.
Is this affiliated with RE/MAX?
No. The RE/MAX Agent Email Scraper is an independent Actor and is not affiliated with, supported by or endorsed by RE/MAX or its franchisees.
Related Actors
| Actor | What it collects |
|---|---|
| RE/MAX Email and Phone Number Scraper | Emails and phone numbers from RE/MAX |
| RE/MAX Phone Number Scraper | Public phone numbers from RE/MAX |
| Apartment List Email Scraper | Public contact emails from Apartment List |
| ApartmentFinder Email Scraper | Public contact emails from ApartmentFinder |
| Apartments.com Email Scraper | Public contact emails from Apartments.com |
| Century 21 Agent Email Scraper | Public contact emails from Century 21 |
| Coldwell Banker Agent Email Scraper | Public contact emails from Coldwell Banker |
| CommercialCafe Email Scraper | Public contact emails from CommercialCafe |
| CommercialSearch Email Scraper | Public contact emails from CommercialSearch |
| Compass Agent Email Scraper | Public contact emails from Compass |
| Crexi Email Scraper | Public contact emails from Crexi |
| Domain Agents Email Scraper | Public contact emails from Domain |
| Homes & Land Email Scraper | Public contact emails from Homes & Land |
| Homes.com Email Scraper | Public contact emails from Homes.com |
| HotPads Email Scraper | Public contact emails from HotPads |
| Keller Williams Agent Email Scraper | Public contact emails from Keller Williams |
| Land And Farm Email Scraper | Public contact emails from Land And Farm |
| Land.com Email Scraper | Public contact emails from Land.com |
| LandWatch Email Scraper | Public contact emails from LandWatch |
| LoopNet Email Scraper | Public contact emails from LoopNet |
| OnTheMarket Email Scraper | Public contact emails from OnTheMarket |
| RealEstate.com.au Agents Email Scraper | Public contact emails from realestate.com.au |
| Realtor.ca Email Scraper | Public contact emails from Realtor.ca |
| Realtor.com Rentals Email Scraper | Public contact emails from Realtor.com |
| Redfin Rentals Email Scraper | Public contact emails from Redfin |
| Rent.com Email Scraper | Public contact emails from Rent.com |
| RentCafe Email Scraper | Public contact emails from RentCafe |
| Zillow Rentals Email Scraper | Public contact emails from Zillow |
| Zumper Email Scraper | Public contact emails from Zumper |
| Apartment List Email and Phone Number Scraper | Emails and phone numbers from Apartment List |
| ApartmentFinder Email and Phone Number Scraper | Emails and phone numbers from ApartmentFinder |
| Apartments.com Email and Phone Number Scraper | Emails and phone numbers from Apartments.com |
| Century 21 Email and Phone Number Scraper | Emails and phone numbers from Century 21 |
| Coldwell Banker Email and Phone Number Scraper | Emails and phone numbers from Coldwell Banker |
| CommercialCafe Email and Phone Number Scraper | Emails and phone numbers from CommercialCafe |
| CommercialSearch Email and Phone Number Scraper | Emails and phone numbers from CommercialSearch |
| Compass Email and Phone Number Scraper | Emails and phone numbers from Compass |
| Crexi Email and Phone Number Scraper | Emails and phone numbers from Crexi |
| Domain Email and Phone Number Scraper | Emails and phone numbers from Domain |
| Homes & Land Email and Phone Number Scraper | Emails and phone numbers from Homes & Land |
| Homes.com Email and Phone Number Scraper | Emails and phone numbers from Homes.com |
| Keller Williams Email and Phone Number Scraper | Emails and phone numbers from Keller Williams |
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