About.Me Phone Number Scraper - Carrier & Line Type Lookup

About.Me Phone Number Scraper 🔍

About.Me Phone Number Scraper helps marketers, recruiters, sales pros, and researchers discover phone numbers from publicly available About.Me profiles faster than manual searching. It supports About.Me data extraction with keyword targeting, location filtering, and country selection, making it a practical contact information scraper for lead generation, phone lookup, and public profile scraping at scale. 📞

🌟 Key Features of About.Me Phone Number Scraper

Feature	Benefit
✅ Targeted Keyword Search	Uses your keywords to find relevant About.Me profiles and surface better-fit contacts.
✅ Location Filtering	Narrow results by location when you want more focused About.Me leads.
✅ Country Targeting	Select the country to improve phone number extraction for your market.
✅ Bulk Extraction	Designed for larger runs, so you can collect many results without doing it manually.
✅ Max Results Control	Stop after a set number of phone numbers to manage run size and duration.
✅ Built-in Proxy Support	Includes proxy support for more reliable scraping of public web data.
✅ Progress Saving	Saves progress during a run so it can continue from where it left off.

📥 Input — About.Me Phone Number Scraper Parameters

{
  "keywords": [
    "marketing",
    "founder"
  ],
  "location": "London",
  "country": "United Kingdom (+44)",
  "maxPhoneNumbers": 20
}

Parameter	Type	Required	Default	Description
keywords	Array	Yes	["marketing","founder"]	Search terms used to find relevant About.Me profiles.
location	String	No	""	Optional location filter such as a city or region. Leave empty for a broader search.
country	String	Yes	United Kingdom (+44)	Country targeting used to focus phone number extraction on a specific country.
maxPhoneNumbers	Integer	No	20	Stops the run after this many phone numbers are found. Higher values may take longer.

📤 Output — What About.Me Phone Number Scraper Returns

The actor saves each result as a JSON record in your Apify dataset. 📦

{
  "keyword": "marketing",
  "title": "Sarah Thompson",
  "description": "Brand strategist and digital consultant based in Manchester. Contact for partnerships and media enquiries.",
  "url": "https://about.me/sarahthompson",
  "phone_number": "+44 7700 900123",
  "country": "United Kingdom",
  "dial_code": "+44"
}

Field	Label	Format	Description
keyword	Keyword	text	The keyword that led to this result.
title	Title	text	The page title associated with the About.Me profile.
description	Description	text	The visible profile text captured for the result.
url	Url	link	Direct link to the About.Me profile.
phone_number	Phone Number	text	The phone number found in publicly available content.
country	Country	text	The selected country associated with the result.
dial_code	Dial Code	text	The dialing code for the selected country.

💻 How to Use About.Me Phone Number Scraper — Step-by-Step

1. Open the Actor — Find About.Me Phone Number Scraper on Apify and open the input form.
2. Enter Keywords — Add the terms you want to use for About.Me contact discovery.
3. Choose a Country — Select the country that best matches your target audience.
4. Set a Location (optional) — Narrow the search with a city or region if needed.
5. Set Max Phone Numbers (optional) — Limit the run if you only need a specific number of results.
6. Run the Actor — Start the scrape and monitor progress in the logs.
7. Export Results — Download the dataset and use the structured phone number extraction output in your workflow.

💡 Best Use Cases for About.Me Phone Number Scraper

• 🎯 Lead Generation — Build targeted About.Me leads for outreach campaigns.
• 📣 Contact Discovery — Find public phone numbers for sales, partnerships, or research.
• 🤝 Recruitment — Locate professional contact details from public profiles.
• 🔬 Market Research — Analyze public profile data across keywords and countries.
• 📊 CRM Enrichment — Add public phone numbers to existing contact records.

Disclaimer

This actor only accesses publicly available data on About.Me. It does not access private profiles, authenticated content, or password-protected pages. Users are responsible for complying with applicable laws, platform terms, and anti-spam rules when using this web scraping tool. It is intended for legitimate research, lead generation, and marketing use cases only. For data-removal requests, contact 📧 helloparsepoint@gmail.com.

🆘 Support & Feedback

Have a question or found an issue with the About.Me Phone Number Scraper? We're here to help.

• 🐞 Bug Reports: Send us the details so we can investigate
• ✨ Custom Solutions & Feature Requests: Share your use case or improvement idea
• 📧 Email: helloparsepoint@gmail.com

Your feedback helps improve the About.Me scraper for everyone.

Complete number formats

Field	Meaning
phoneRaw	The exact text the number was read from, before any normalisation
phoneRfc3966	The tel: URI form some VoIP systems expect (optional)
phoneExtension	The internal extension, when the listing published one

phoneRaw is the honest column: it is never derived, so it stays trustworthy even when parsing of everything else goes wrong, and it lets you check a suspicious row without reopening the source page.

Run Memory

Skip keywords already scraped in a previous run - the actor keeps a persistent record of every keyword it finishes, in a named key-value store that survives between runs. A repeat run then drops the keywords it has already covered, so a scheduled job only pays for new ground. The same keyword aimed at a different country or location counts as new work.

Reset keyword history - wipe that record before the run starts.

Max numbers per keyword - cap how many numbers any single keyword may produce before moving on. 0 means no per-keyword limit.

Two columns come out of the same memory:

Field	Meaning
firstSeenAt	The date this number was first delivered to you, across all runs
isNewSinceLastRun	false for a number an earlier run already returned

These are only informative because repeats are still delivered rather than dropped - a scraper that removes duplicates before delivery would mark every row new and tell you nothing.