RentCafe Phone Number Scraper

RentCafe Phone Number Scraper

RentCafe Phone Number Scraper turns a keyword into a contact sheet of phone numbers published on RentCafe. Give it search terms and it returns the accounts that publish a way to reach them, with the account name, handle and profile URL beside each contact.

It reads only what RentCafe and Google already show a signed-out visitor. No login, no cookies, no private or partner API, no browser and no JavaScript rendering.

Read this before your first run. RentCafe indexes property and city pages rather than manager profiles, so rows carry a leasing email without a resolvable handle.

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What the RentCafe Phone Number Scraper does

The RentCafe Phone Number Scraper searches Google with a contact dork rather than a plain keyword: site:rentcafe.com property manager whatsapp "+44". That asks for the pages which already publish a phone number, instead of every page matching a word.

Each result block yields the account and the phone number together, in one request. Google no longer prints the target URL on most layouts, so the handle comes from what it does print: the "RentCafe - handle" site label, the breadcrumb, or a Name (@handle) title.

Every row is written to the dataset the moment it is found and logged as it is written, so a run is readable while it is still going.

Phone numbers are validated by libphonenumber against the real numbering plan of the country you searched, so order numbers, dates and follower counts cannot reach the dataset. Each number is returned in E.164 form and in the national format its country uses.

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Input reference for the RentCafe Phone Number Scraper

Field	Type	Default	Meaning
keywords	array	property manager, apartments for rent	Search terms - a niche, job title or industry.
location	string	""	Added to every query, e.g. New York.
countries	array	US, UK, India	Which countries' numbers to look for. Name, ISO code or dial code. Each one multiplies the searches.
maxEmails	integer 1-10000	20	Stop once this many unique contacts are found.
expandQueries	boolean	true	Search each keyword in several phrasings.
queryModifiers	array	per platform	Extra words combined with each keyword.
maxPagesPerQuery	integer 1-50	30	Google result pages per query.
maxConcurrency	integer 1-20	5	Queries run in parallel.
countryCode	string	""	Two-letter country for the search proxy.

Output

Every row the RentCafe Phone Number Scraper writes:

Field	Meaning
network	Platform name
keyword	The keyword that found this row
query	The exact Google query used
phone	The number in E.164 form, e.g. +447590574946
phoneNational	The same number as its country writes it
phoneCountry	ISO country the number belongs to
accountName	Account label as the platform shows it
fullName	Display name where published
username	Handle
profileUrl	Canonical profile URL
url	The page the result pointed at
description	The result snippet, cleaned
foundAt	ISO 8601 UTC timestamp

{
  "network": "RentCafe",
  "keyword": "property manager",
  "accountName": "examplestudio",
  "fullName": "Example Studio",
  "username": "examplestudio",
  "profileUrl": "https://www.rentcafe.com/examplestudio",
  "phone": "+447590574946",
  "phoneNational": "07590 574946",
  "phoneCountry": "GB"
}

How to use the RentCafe Phone Number Scraper

1. Put your search terms in Keywords - the niche, job title or industry you sell to.
2. Add a Location if the list should be local.
3. Pick the Countries whose numbers you want. Every number is validated against that country's numbering plan.
4. Set Max results to cap the run, then start it.
5. Export the dataset as CSV, JSON or Excel, or pull it through the Apify API.

Use cases

Lead generation. Build a list of RentCafe accounts in one niche that publish a phone number, with the handle and profile URL for context before you write.

Recruiting. Find people describing themselves with a role keyword and reach them on the contact they chose to publish.

Agency prospecting. Search a niche and a city, and get a prospect sheet with the account and the contact side by side.

CRM enrichment. Feed profileUrl and phone straight into your CRM; the keyword and query columns record where each row came from.

Limitations, stated plainly

• Only contacts already published in public RentCafe pages indexed by Google. Nothing hidden from a signed-out visitor is reachable, and none is guessed from a name.
• RentCafe indexes property and city pages rather than manager profiles, so rows carry a leasing email without a resolvable handle.
• Coverage depends on what Google has indexed, so a narrow niche returns fewer rows than a broad one. Raising Max pages per query and adding keywords helps.
• The free Apify plan caps a run at 20 results.
• A number written without its country code can only be validated against the country you searched, so search the countries you actually sell to.

Pricing

Pay per result: you are charged for each row written to the dataset, and nothing for a run that finds nothing. Platform and proxy costs are included in that price.

RentCafe Phone Number Scraper vs manual research

Done by hand, one qualified contact takes two to four minutes: find the account, open it, read the page, copy the phone number, paste it into a sheet.

The RentCafe Phone Number Scraper does the same work continuously, with no tab switching and no transcription errors. A hundred records is minutes rather than an afternoon.

It also captures what manual research usually skips. The account name, the profile URL and the exact keyword that surfaced the row all land in the same record.

That context turns a raw list into a prioritised one. The RentCafe Phone Number Scraper lets you sort and filter before a single message is written.

Using the RentCafe Phone Number Scraper in a workflow

Most teams run the RentCafe Phone Number Scraper on a schedule and treat the dataset as a feed rather than a one-off export.

Point a webhook at your own endpoint and each finished run pushes its rows straight into your CRM, with no manual download step.

The stable output schema matters here. Because every row from the RentCafe Phone Number Scraper has identical keys, your integration never needs to handle a missing field.

A common pattern is a nightly keyword run feeding a dedupe step. Another is enrichment: widen the keyword list and let the RentCafe Phone Number Scraper fill the gaps in an existing sheet.

Troubleshooting the RentCafe Phone Number Scraper

Few or no rows. The keyword is probably too broad or too narrow. Ten specific keywords beat one generic one, and adding a location raises the hit rate.

Rows without contacts. That is normal - most accounts publish none. The RentCafe Phone Number Scraper reports only what is genuinely on the page.

The run is slow to start. Lower the concurrency. The RentCafe Phone Number Scraper is querying faster than the proxy pool is comfortable with.

Fewer results than requested. Google caps one query at roughly 300 results. Query expansion is what reaches past that ceiling, so leave it on.

How the RentCafe Phone Number Scraper handles export and integration

Export the RentCafe Phone Number Scraper dataset as CSV, JSON, Excel or XML from the Apify console, or pull it through the API.

Every field is flat - no nested objects - so the CSV opens cleanly in Excel or Google Sheets without a parsing step.

Related Actors

Actor	What it collects
RentCafe Email Scraper	Public contact emails from RentCafe
RentCafe Email and Phone Number Scraper	Emails and phone numbers from RentCafe
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
RE/MAX Agent Email Scraper	Public contact emails from RE/MAX
Rent.com Email Scraper	Public contact emails from Rent.com
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

FAQ

Does the RentCafe Phone Number Scraper need a login or cookies?

No. It reads public search results and public RentCafe pages only.

Where do the phone numbers come from?

From the public page the search result points at - the same text any visitor can read.

Are the numbers real?

Every number is checked against its country's numbering plan before it is written, so invalid strings are dropped rather than shipped.

Can I run it on a schedule?

Yes, with Apify Schedules. Progress is saved, so a migrated run continues instead of starting over.

Something is missing or wrong.
Email neurodata.apify@gmail.com.

More about the RentCafe Phone Number Scraper

The RentCafe Phone Number Scraper writes one dataset row per contact found, which keeps billing proportional to the value returned rather than to the time a run spends searching.

Because the RentCafe Phone Number Scraper reads only pages Google has already indexed, it never needs a login, a cookie jar or an API key from the platform it reads.

Run the RentCafe Phone Number Scraper with a narrow keyword set first. A short test run shows the yield of a niche before a large run is paid for.

The RentCafe Phone Number Scraper deduplicates within a run, so the same contact discovered through two different queries is written once, not twice.

Output from the RentCafe Phone Number Scraper is flat - no nested objects - so a CSV export opens cleanly in Excel or Google Sheets with no parsing step.

Pair the RentCafe Phone Number Scraper with Apify Schedules to rebuild a prospect list weekly and catch accounts that published contact details since the last run.

The RentCafe Phone Number Scraper reports honestly when a niche is empty. A run that finds nothing writes nothing, and nothing is charged for it.

Proxy and platform costs are already inside the per-result price of the RentCafe Phone Number Scraper, so the figure quoted on the Store page is the figure you pay.

RentCafe Phone Number Scraper at a glance

Every field the RentCafe Phone Number Scraper returns is documented in the output table above, and the schema does not change between runs or between platforms.

Teams that outgrow manual prospecting usually reach for the RentCafe Phone Number Scraper first, because it needs no setup beyond a keyword list and a result cap.

The RentCafe Phone Number Scraper records the source query alongside every row, which makes a list auditable when a prospect asks where their details came from.

Concurrency on the RentCafe Phone Number Scraper is adjustable, so a run can be tuned for speed on a quiet network or for reliability on a busy one.

If a run of the RentCafe Phone Number Scraper is interrupted, Apify migrates it and progress resumes rather than restarting from the first query.

Agencies commonly schedule the RentCafe Phone Number Scraper weekly, then diff each dataset against the last to surface only newly published contacts.

The RentCafe Phone Number Scraper applies the same validation to every record, so the quality of a row does not depend on which query happened to find it.

Nothing in the RentCafe Phone Number Scraper guesses a contact from a name pattern. A value is written only when it appears on the page itself.

Because the RentCafe Phone Number Scraper shares its output schema with every other scraper in this catalogue, a pipeline built once works across all of them.

RentCafe Phone Number Scraper in practice

A first run of the RentCafe Phone Number Scraper is the cheapest market research available: it shows how many reachable accounts a niche actually contains before any budget is committed.

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Support

Questions, bugs or a custom build: neurodata.apify@gmail.com.