HotPads Email Scraper
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HotPads Email Scraper
HotPads Email Scraper SD - HotPads Email Scraper is a lead generation tool that extracts leads with public contact emails, account names and profile URLs from HotPads results by keyword, location and email domain - HotPads email extractor.
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Leads Scraper
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HotPads Email Scraper - map-shaped rental leads for submarket prospecting
The HotPads Email Scraper collects publicly indexed leasing contacts from HotPads and writes them to an Apify dataset. It is aimed at proptech vendors, multifamily marketing agencies and suppliers who sell into rental housing.
HotPads landed in the middle of this batch on measured yield. In a run against live Google, roughly ten parsed result blocks produced five identities, five resolvable profile URLs and seven unique emails.
In practice that means about half the rows from the HotPads Email Scraper carry an account name and a working link, and the rest arrive as an address plus a snippet. Both are contactable; only one is linkable.
HotPads organises rental inventory around neighbourhoods and map areas, which makes it a natural fit for submarket-level prospecting rather than broad national sweeps.
Teams often run the HotPads Email Scraper one neighbourhood at a time, then merge results with the Apartment List Email Scraper or the Apartments.com Email Scraper to fill in the managed-community side of a metro.
Who the HotPads Email Scraper is for
Property management software vendors, leasing and tour-scheduling tools, tenant screening providers, and smart-lock or IoT installers all sell to the person whose address appears on the listing.
Renovation and turn suppliers, landscaping firms and maintenance contractors use the HotPads Email Scraper to build a drivable territory list. Insurance brokers selling landlord and multifamily policies work the same rows.
Leasing offices and landlords publish these addresses on purpose because they want inbound enquiries. That makes this a B2B contact list, not a consumer harvest - and it still deserves compliant outreach.
What the HotPads Email Scraper actually does
The HotPads Email Scraper is a Google search-results parser with a domain-filtered email extractor attached. It never touches HotPads directly.
- Reads your input: keywords, location, email domains and limits.
- Builds Google queries with the
site:operator againsthotpads.com, for examplesite:hotpads.com property manager "@gmail.com" "San Diego". - Fetches Google result pages through the Apify GOOGLE_SERP proxy using async
aiohttprequests. - Parses each result block structurally by locating the
<h3>title and then the smallest surrounding block, rather than depending on Google's CSS class names. - Extracts emails from the block text with a domain-filtered regular expression.
- Deduplicates globally and pushes every lead to the Apify dataset immediately.
It does not log into HotPads, does not use any HotPads API, and does not open the HotPads website. There is no browser, no JavaScript rendering, no authentication and no cookies.
Everything the HotPads Email Scraper returns comes from publicly indexed Google search results: titles, snippets and site labels. If an address is not in that index, the HotPads Email Scraper cannot find it.
Key features of the HotPads Email Scraper
| Feature | What it means in practice |
|---|---|
| Query expansion | Base, quoted, intitle: and one variant per query modifier. Base queries run first. |
| Global deduplication | Every email is emitted once across all queries and all pages of the run. |
| Email normalisation | Case-insensitive; understands name [at] domain [dot] com, name (at) domain, name @ domain.com, domain .com, zero-width characters and the full-width @ sign. |
| Junk filter | Rejects placeholders such as email@, yourname@, test@, xxx@ and single-character locals. |
| Boundary-correct matching | @gmail.com will not match inside @gmail.company or @gmail.com.br. |
| Soft-wrap repair | Drops a hit that is only the tail of another email in the same result block. |
| Concurrency | An asyncio worker pool with a shared stop signal on maxEmails. |
| Retries | Up to 3 attempts per page with exponential backoff and a fresh proxy session per request. |
| Block detection | CAPTCHA, "unusual traffic" and consent pages are detected and retried, not counted as empty. |
| Re-queue | Blocked or failed queries are retried once at the end of the run. |
| Resumable state | Saved in the key-value store keyed by an input hash; throttled saves plus PERSIST_STATE, MIGRATING and ABORTING events. |
| Fallback parser | If Google's markup changes, the whole-page parser degrades to "emails without account details" instead of "no emails". |
| Run summary | Logs pages fetched, blocked pages, retries and emails per page. |
Free Apify plans are capped at 100 emails per run. Paid plans are uncapped, subject to what Google has indexed for the HotPads Email Scraper's query set.
How the HotPads Email Scraper builds its queries
Query expansion exists because Google caps a single query at roughly 300 results. A single query against a national rental site would leave most of the index unseen.
With expandQueries on, each keyword and email-domain pair is searched in several phrasings. The HotPads Email Scraper runs the base query first, then the quoted variant, then an intitle: variant, then one variant per entry in queryModifiers.
The defaults are email, contact, leasing office, inquiries and property manager - the words that sit next to a published address on a rental listing.
HotPads is a rentals-only domain, so the HotPads Email Scraper needs no extra inurl: narrowing to keep for-sale inventory out of the result set. Every indexed page is already rental inventory.
Turning expansion off makes the HotPads Email Scraper faster and cheaper but caps your reach at a few hundred results per keyword. Leave it on for real prospecting.
Input settings for the HotPads Email Scraper
| Field | Type | Default | Meaning |
|---|---|---|---|
keywords | array (required) | ["property manager", "apartments for rent"] | 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", "leasing office", "inquiries", "property manager"] | 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 targeting in the HotPads Email Scraper
location is the most valuable input in the schema, and on a map-oriented platform it is also the most natural one to reason about.
Neighbourhood-level phrases work particularly well here: North Park San Diego, The Arts District Las Vegas, Sugar House Salt Lake City, Midtown Sacramento, The Fan Richmond VA.
Metro names still work when you need volume: San Diego CA, Las Vegas NV, Salt Lake City UT, Sacramento CA, Richmond VA. Expect a broader, looser list.
Run one location per run. The value is appended verbatim to every query, so San Diego OR Los Angeles becomes a literal phrase and typically returns less rather than more.
Set countryCode: "US" so the proxy resolves from a US exit, and include the state abbreviation for ambiguous city names - Richmond VA and Richmond CA are entirely different rental markets.
If a neighbourhood returns almost nothing, widen one step at a time - neighbourhood, metro, state - before concluding the HotPads Email Scraper is misconfigured.
Choosing keywords and email domains
HotPads carries both professionally managed communities and individual landlord listings, so mix your keywords. Try property manager, landlord, leasing office, apartments for rent and management company.
customDomains drives volume more than any other field. Free-mail domains are the default because individual landlords and small operators genuinely publish @gmail.com and @yahoo.com addresses.
Add @outlook.com and @hotmail.com for wider coverage, or a named operator's domain when working one portfolio. The HotPads Email Scraper keeps only addresses ending in a domain you listed.
Output data from the HotPads Email Scraper
Every dataset item produced by the HotPads Email Scraper carries all fourteen fields below.
| 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-style titles |
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 snippet text, cleaned of labels and counters |
email | Lower-cased email address |
emailDomain | The matched domain, for example @gmail.com |
possiblyTruncated | true when Google's snippet ellipsis touched the email |
foundAt | ISO 8601 UTC timestamp |
Profile URLs follow the shape https://hotpads.com/{username}. Roughly half the rows in a HotPads Email Scraper run will carry one; the rest will show username: null and an empty profileUrl.
Example runs with the HotPads Email Scraper
A neighbourhood run for a maintenance contractor working San Diego:
{"keywords": ["property manager", "landlord"],"location": "North Park San Diego","customDomains": ["@gmail.com", "@yahoo.com"],"maxEmails": 120,"countryCode": "US","expandQueries": true,"queryModifiers": ["email", "contact", "leasing office", "inquiries", "property manager"],"maxPagesPerQuery": 30,"maxConcurrency": 5}
Two dataset rows showing both shapes the HotPads Email Scraper returns:
[{"network": "HotPads","keyword": "property manager","query": "site:hotpads.com property manager \"@gmail.com\" \"North Park San Diego\"","title": "Grove Street Apartments - North Park, San Diego | HotPads","accountName": "Grove Street Apartments","fullName": "Grove Street Apartments","username": "grove-street-san-diego-ca","profileUrl": "https://hotpads.com/grove-street-san-diego-ca","url": "https://hotpads.com/grove-street-san-diego-ca","description": "Property manager on site. Enquiries: grovestreetpm@gmail.com","email": "grovestreetpm@gmail.com","emailDomain": "@gmail.com","possiblyTruncated": false,"foundAt": "2026-08-31T14:08:36Z"},{"network": "HotPads","keyword": "landlord","query": "site:hotpads.com landlord contact \"@yahoo.com\" \"North Park San Diego\"","title": "Apartments for Rent in North Park, San Diego, CA | HotPads","accountName": "North Park Rentals","fullName": "","username": null,"profileUrl": "","url": "","description": "Landlord contact: northparkrentals@yahoo.com. Units updated regularly.","email": "northparkrentals@yahoo.com","emailDomain": "@yahoo.com","possiblyTruncated": false,"foundAt": "2026-08-31T14:11:52Z"}]
The second row is the honest half of the output: a usable address on a map or neighbourhood page with no handle behind it. Plan your pipeline so those rows still have a home.
For a wider sweep, raise maxEmails and move location up to a metro. Leave maxConcurrency at 5 unless you have a reason to change it; the HotPads Email Scraper already runs queries in parallel.
Use cases for the HotPads Email Scraper
| Audience | How they use the HotPads Email Scraper |
|---|---|
| Property management software vendors | Build a neighbourhood-level pipeline of managed properties to demo software to |
| Leasing and tour-scheduling tools | Target listings that already publish an address and field enquiries by email |
| Tenant screening providers | Reach individual landlords and small operators who lack a screening workflow |
| Smart-lock and IoT installers | Prospect buildings inside a defined map area before a rollout |
| Renovation and turn suppliers | Build a make-ready, flooring and appliance outreach list per neighbourhood |
| Maintenance and landscaping contractors | Assemble a genuinely drivable route list |
| Multifamily marketing agencies | Shortlist under-marketed rentals in one submarket, then pitch creative and paid media |
| Insurance brokers | Reach landlords and small operators for landlord and rental property policies |
| Market researchers | Compare landlord versus managed-community contact publishing across submarkets |
Responsible use, GDPR, CAN-SPAM and Fair Housing
Everything the HotPads Email Scraper collects is already published on public pages and indexed by Google. That does not move your obligations as the sender onto anyone else.
Under GDPR and similar regimes, have a lawful basis for processing business contact data, honour deletion and objection requests, and say in your first message where you found the address. Under CAN-SPAM, use accurate headers and subject lines, disclose your identity and postal address, and honour opt-outs promptly.
Fair Housing is genuinely relevant to US rental outreach, and doubly worth remembering when a list includes individual landlords. Keep messaging focused on your product and avoid anything that could read as steering or as encouraging discrimination based on a protected characteristic.
None of this is legal advice. Check your campaign against your own jurisdiction's rules, and verify addresses before you send at volume. The HotPads Email Scraper surfaces candidates; the sending decision stays with you.
Limitations of the HotPads Email Scraper
- It only finds contacts whose email is publicly visible in Google's index. Addresses behind a contact form or rendered in an image will not be found.
- Google caps a single query at roughly 300 results. Query expansion works around that ceiling; it does not remove it.
usernameandprofileUrlare only populated when the platform exposes a handle in Google's result. On HotPads that happened for about half of parsed results in testing, so expect a mix. This is a Google limitation, not a defect.possiblyTruncated: truemeans Google's snippet ellipsis touched the email. Verify those rows before sending.- The Apify GOOGLE_SERP proxy is required. The HotPads Email Scraper cannot run without Apify proxy credentials.
- Free Apify plans stop at 100 emails per run; paid plans are uncapped.
- Results vary with keywords, domains and location. No volume is guaranteed, and the HotPads Email Scraper is not affiliated with or endorsed by HotPads.
HotPads Email Scraper FAQ
How many results should I expect from the HotPads Email Scraper?
In a measured run against live Google, roughly ten parsed result blocks produced five identities, five profile URLs and seven unique emails - moderate on both axes. Counts vary with location, keywords and domain filter.
Why do only some rows have a profile URL?
Google exposes a handle for some HotPads pages and only a display name or neighbourhood label for others. The HotPads Email Scraper resolves a profileUrl when a handle exists and leaves it empty otherwise.
Does the HotPads Email Scraper log into HotPads?
No. It reads Google search results through the Apify GOOGLE_SERP proxy. No login, no API key, no browser, no cookies.
Which input matters most?
location. On a map-oriented platform a neighbourhood phrase shapes the whole result set more than any other setting in the HotPads Email Scraper.
Can I target corporate domains instead of free-mail?
Yes. Replace customDomains with the domains you want; only addresses ending in one of them are kept.
What does possiblyTruncated mean?
Google cut the snippet near the email, so the address may be incomplete. Filter or verify those rows before a send.
Why does the HotPads Email Scraper run so many queries?
Google caps a single query at about 300 results, so expansion spreads the search across base, quoted, intitle: and modifier variants to reach past that ceiling.
Can I run the HotPads Email Scraper outside Apify?
No. The GOOGLE_SERP proxy is a required dependency and needs Apify proxy credentials.
Will I get duplicate addresses?
No. Deduplication is global across every query and page, so each unique email appears once per run.
Is 100 emails a hard cap?
Only on free plans. Paid plans are uncapped, though the practical ceiling is whatever Google has indexed.
Which sibling Actors pair well with this one?
Zumper Email Scraper for stronger identity resolution in the same urban submarkets, and Redfin Rentals Email Scraper for higher raw email volume.
Does a run resume after a migration?
Yes. State is stored in the key-value store keyed by a hash of your input, with saves on PERSIST_STATE, MIGRATING and ABORTING.
Related Actors
| Actor | What it collects |
|---|---|
| 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 |
| 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 |
| RE/MAX Agent Email Scraper | Public contact emails from RE/MAX |
| 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 |
| Land And Farm Email and Phone Number Scraper | Emails and phone numbers from Land And Farm |
| Land.com Email and Phone Number Scraper | Emails and phone numbers from Land.com |
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Support
Questions, a bug report, or a custom build request for the HotPads Email Scraper? Contact neurodata.apify@gmail.com.