Wechat Phone Number Scraper - Validated Mobile & Landline

Wechat Phone Number Scraper 🔍

Wechat Phone Number Scraper helps you find publicly available phone numbers from Wechat profiles, bios, and posts using your chosen keywords and country targeting. It’s designed for marketers, recruiters, sales pros, analysts, and researchers who want faster WeChat lead generation, a more efficient WeChat contact extractor, and scalable WeChat contact discovery without manual browsing. 🚀

🌟 Key Features of Wechat Phone Number Scraper

Feature	Benefit
✅ Keyword-Based Search	Use your own keywords to focus on the most relevant WeChat profiles and posts.
✅ Country Targeting	Select a country to improve WeChat mobile number extraction with the right dialing context.
✅ Optional Location Filter	Narrow results by city, region, or other location text for more precise WeChat user lookup tool results.
✅ Result Limit Control	Set a maximum number of phone numbers to keep runs focused and cost-efficient.
✅ Public Data Collection	Scrapes data from publicly available sources on Wechat for practical WeChat data mining.
✅ Incremental Dataset Saving	Results are pushed as they are found, helping protect long runs from data loss.
✅ Built-In Resilience	Includes retries and fallbacks for more reliable scraping on larger jobs.
✅ Resume Support	Can continue from saved progress, which is useful for bigger WeChat contact list scraping tasks.

📥 Input — Wechat 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"]	Keywords used to find relevant Wechat profiles and posts.
location	String	No	""	Optional location filter such as a city or region. Leave empty if you want broader results.
country	String	✅ Yes	United Kingdom (+44)	Country used for phone number targeting and dialing context.
maxPhoneNumbers	Integer	No	20	Maximum number of phone numbers to collect before stopping the run.

📤 Output — What Wechat Phone Number Scraper Returns

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

{
  "keyword": "founder",
  "title": "Sophie Williams",
  "description": "Founder building products for small businesses. Contact: +44 7700 900123",
  "url": "https://wechat.com/sophie.williams",
  "phone_number": "+447700900123",
  "country": "United Kingdom (+44)",
  "dial_code": "+44"
}

Field	Label	Format	Description
keyword	Keyword	text	The keyword that led to this result.
title	Title	text	The profile or result title associated with the phone number.
description	Description	text	Publicly available text from the profile or post content.
url	Url	link	The link to the public result page.
phone_number	Phone Number	text	The phone number found in the result, formatted as a text value.
country	Country	text	The selected target country for the run.
dial_code	Dial Code	text	The dialing code associated with the selected country.

💻 How to Use Wechat Phone Number Scraper — Step-by-Step

1. Open the Actor — Find Wechat Phone Number Scraper in the Apify Store and open its page.
2. Enter Keywords — Add the terms you want to use for WeChat user data extraction and contact discovery.
3. Choose a Country — Select the country that matches the phone numbers you want to target.
4. Set an Optional Location — Add a location if you want more focused WeChat public profile scraping.
5. Adjust the Limit — Set the maximum number of phone numbers to collect in one run.
6. Run the Actor — Start the task and monitor progress in the live logs.
7. Review the Dataset — Export your scraped results from the dataset once the run finishes.

No coding required. Results are ready in minutes. ✨

💡 Best Use Cases for Wechat Phone Number Scraper

• 🎯 WeChat Lead Generation — Build targeted contact lists from publicly available Wechat data.
• 📣 Outreach Research — Find phone numbers tied to relevant profiles for sales and partnership outreach.
• 🔬 Market Research — Discover contacts and public profile signals for audience analysis.
• 🧩 Contact Enrichment — Add phone number details to existing research or CRM records.
• 📊 WeChat Contact Discovery — Speed up manual research with structured, searchable results.

Disclaimer

This actor only accesses publicly available data on Wechat. It does not access private accounts, password-protected content, or restricted information. Users are responsible for making sure their use complies with applicable laws, platform policies, and privacy requirements. Use it only for legitimate purposes such as research, lead generation, and compliant outreach. For data-removal requests, contact 📧 insightflowofficial@gmail.com.

🆘 Support & Feedback

Have a question or need help with the Wechat Phone Number Scraper? We’re here to help. 💬

• 🐞 Bug Reports: Send us the details of the issue so we can investigate.
• ✨ Custom Solutions & Feature Requests: Share what you’d like to see next.
• 📧 Email: insightflowofficial@gmail.com

Your feedback helps improve the tool for marketers, data analysts, and researchers.

Call Confidence & Provenance

Every number now carries the evidence behind it, so a list can be triaged before anyone starts dialling.

Field	Meaning
confidence	0-100: how likely this is a genuine, correctly read business number
confidenceBand	high (80+), good (60-79), medium (40-59), low (<40)
contextReason	Why it was accepted - link:tel_uri, positive_label:whatsapp, international_format, no_label, ...
contextWindow	The wording printed either side of the number on the page
foundBy	tel_uri, wa.me, api.whatsapp, telegram, signal, viber or matcher
foundIn	Which text the number appeared in
businessName	The business the listing is about, read from its headline
websiteDomain	The site the number was published on
category	Broad industry tag - industrial, health, food, professional, ...
scrapedAt	UTC timestamp, so you know how fresh the row is

A number that also appears inside a click-to-call or click-to-chat link on the same page is the most reliable case there is, and scores highest.

Inputs

• Minimum confidence - drop rows below a score. 0 keeps everything.
• Surrounding text to keep - how much context to record per number (20-200 chars).

category is left blank rather than guessed when the wording is too generic to place the business, and businessName falls back to the leading part of the headline when no company name is recognisable.