Hotfrog Email and Phone Number Scraper

Hotfrog Email and Phone Number Scraper

Hotfrog Email and Phone Number Scraper turns a keyword into a contact sheet of emails and phone numbers published on Hotfrog. 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 Hotfrog 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. Hotfrog blocks most of its listing pages from search engines, so the Hotfrog Email and Phone Number Scraper often returns nothing; the Brownbook, Cylex and Fyple Actors cover the same local-directory ground far better.

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What the Hotfrog Email and Phone Number Scraper does

The Hotfrog Email and Phone Number Scraper searches Google with a contact dork rather than a plain keyword: site:hotfrog.com small business "@gmail.com" and whatsapp "+44". That asks for the pages which already publish a email address or phone number, instead of every page matching a word.

Each result block yields the account and the email address or 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 "Hotfrog - 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.

Addresses are normalised before matching, so name [at] domain [dot] com, spaced and full-width forms are all recovered. Placeholders such as email@, yourname@ and noreply@ are dropped, and so are prose words that only look like an address.

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Input reference for the Hotfrog Email and Phone Number Scraper

Field	Type	Default	Meaning
keywords	array	small business, services	Search terms - a niche, job title or industry.
location	string	""	Added to every query, e.g. New York.
customDomains	array	@gmail.com, @yahoo.com	Address domains the search asks for, and a filter on what is kept.
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 Hotfrog Email and Phone Number Scraper writes:

Field	Meaning
network	Platform name
keyword	The keyword that found this row
query	The exact Google query used
email	The public email address found
emailDomain	Domain part of that address
possiblyTruncated	True when Google cut the snippet mid-address
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": "Hotfrog",
  "keyword": "small business",
  "accountName": "examplestudio",
  "fullName": "Example Studio",
  "username": "examplestudio",
  "profileUrl": "https://www.hotfrog.com/company/examplestudio",
  "email": "hello@examplestudio.com",
  "phone": "+447590574946",
  "phoneNational": "07590 574946",
  "phoneCountry": "GB"
}

How to use the Hotfrog Email and 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 Hotfrog accounts in one niche that publish a email address or 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 email 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 Hotfrog pages indexed by Google. Nothing hidden from a signed-out visitor is reachable, and none is guessed from a name.
• Hotfrog blocks most of its listing pages from search engines, so the Hotfrog Email and Phone Number Scraper often returns nothing; the Brownbook, Cylex and Fyple Actors cover the same local-directory ground far better.
• 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.

Hotfrog Email and 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 email or phone number, paste it into a sheet.

The Hotfrog Email and 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 Hotfrog Email and Phone Number Scraper lets you sort and filter before a single message is written.

Using the Hotfrog Email and Phone Number Scraper in a workflow

Most teams run the Hotfrog Email and 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 Hotfrog Email and 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 Hotfrog Email and Phone Number Scraper fill the gaps in an existing sheet.

Troubleshooting the Hotfrog Email and 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 Hotfrog Email and Phone Number Scraper reports only what is genuinely on the page.

The run is slow to start. Lower the concurrency. The Hotfrog Email and 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 Hotfrog Email and Phone Number Scraper handles export and integration

Export the Hotfrog Email and 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
Hotfrog Email Scraper	Public contact emails from Hotfrog
Hotfrog Phone Number Scraper	Public phone numbers from Hotfrog
Angi Email Scraper	Public contact emails from Angi
Bark Email Scraper	Public contact emails from Bark
Better Business Bureau Email Scraper	Public contact emails from Better Business Bureau
Bizapedia Email Scraper	Public contact emails from Bizapedia
Brownbook Email Scraper	Public contact emails from Brownbook
Callupcontact Email Scraper	Public contact emails from CallUpContact
Capterra Email Scraper	Public contact emails from Capterra
Clutch Email Scraper	Public contact emails from Clutch
Crunchbase Email Scraper	Public contact emails from Crunchbase
Cybo Email Scraper	Public contact emails from Cybo
Cylex Email Scraper	Public contact emails from Cylex
EC21 Email Scraper	Public contact emails from EC21
Europages Email Scraper	Public contact emails from Europages
ExportHub Email Scraper	Public contact emails from ExportHub
FindUsLocal Email Scraper	Public contact emails from FindUsLocal
Foursquare Email Scraper	Public contact emails from Foursquare
Fyple Email Scraper	Public contact emails from Fyple
G2 Email Scraper	Public contact emails from G2
Houzz Email Scraper	Public contact emails from Houzz
Infobel Email Scraper	Public contact emails from Infobel
Kompass Email Scraper	Public contact emails from Kompass
Lacartes Email Scraper	Public contact emails from Lacartes
Manta Email Scraper	Public contact emails from Manta
MapQuest Email Scraper	Public contact emails from MapQuest
N49 Email Scraper	Public contact emails from N49
Porch Email Scraper	Public contact emails from Porch
Scoot Email Scraper	Public contact emails from Scoot
Thomasnet Email Scraper	Public contact emails from Thomasnet
Thumbtack Email Scraper	Public contact emails from Thumbtack
Touch Local Email Scraper	Public contact emails from Touch Local
TradeIndia Email Scraper	Public contact emails from TradeIndia
Trustpilot Email Scraper	Public contact emails from Trustpilot
Tupalo Email Scraper	Public contact emails from Tupalo
Yalwa Email Scraper	Public contact emails from Yalwa
Yellow Pages Email Scraper	Public contact emails from Yellow Pages
Angi Email and Phone Number Scraper	Emails and phone numbers from Angi
Bark Email and Phone Number Scraper	Emails and phone numbers from Bark
Better Business Bureau Email and Phone Number Scraper	Emails and phone numbers from Better Business Bureau
Bizapedia Email and Phone Number Scraper	Emails and phone numbers from Bizapedia
Brownbook Email and Phone Number Scraper	Emails and phone numbers from Brownbook

FAQ

Does the Hotfrog Email and Phone Number Scraper need a login or cookies?

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

Where do the emails and 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 Hotfrog Email and Phone Number Scraper

Because the Hotfrog Email and 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 Hotfrog Email and 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.

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

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

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

Hotfrog Email and Phone Number Scraper at a glance

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

Concurrency on the Hotfrog Email and 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 Hotfrog Email and Phone Number Scraper is interrupted, Apify migrates it and progress resumes rather than restarting from the first query.

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

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

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

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Support

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