Twitter X Profile Scraper 🐦 - Cheap

🐦 Twitter (X) Profile Scraper – Fast, Accurate & Simple 🚀

The Twitter/X Profile Scraper is a powerful and efficient tool that extracts clean, structured data from public Twitter profiles based on a keyword search. Perfect for influencer research, lead generation, sentiment analysis, competitor monitoring, and trend discovery.

🔍 What This Scraper Does

Provide a keyword and the number of profiles you want to extract — the scraper will automatically find matching Twitter accounts and return structured data.

✅ It extracts:

Field	Description
username	Twitter handle (e.g. @elonmusk)
profileName	Display name of the person, creator, or business
profileUrl	Direct link to the Twitter/X profile
followers	Number of followers
following	Number of accounts followed
tweets	Total number of tweets/posts
bio	Bio/About section text
snippet	Preview text combining bio + profile summary
platform	Always "Twitter" or "X"
thumbnail	Profile picture URL

🛠 How to Use the Scraper

Using the Twitter/X Profile Scraper is extremely simple:

Enter a keyword (e.g. crypto, ai, marketing, journalist)

Set the maximum number of profiles you want to scrape

Run the scraper

Export your structured results

💾 Export options:

📦 JSON
📊 CSV
📑 Excel
🌐 XML / HTML

💡 Keyword Tips

🔹 Use broad keywords for larger datasets (technology, football, travel)

🔹 Use niche keywords for targeted lists (AI researcher, crypto trader, fitness writer)

🔹 Add qualifiers to increase precision (marketing expert, software engineer, political analyst)

🐦 Platform

This scraper targets Twitter/X exclusively and collects data only from public profiles.

💰 Pricing

This scraper uses a simple monthly subscription model. You pay only $4.99/month, and only for successful results.

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🌟 Why Use This Scraper?

🧲 Lead Generation – Find creators, professionals, and experts on X

📢 Outreach – Build lists for partnerships, collaborations, or marketing

📊 Market Research – Analyze niches, communities, and audience sizes

🤖 Automation – Save hours of manual searching and profiling

🧠 AI/ML Training – Build structured datasets from real Twitter profiles

📥 Input Schema

Input example :

{
  "KEYWORD": "fashion",
  "MAX_ITEMS": 30
}

Input Fields:

Field	Type	Description
KEYWORD	string	Keyword used to find relevant profiles
MAX_ITEMS	integer	Maximum number of profiles to extract

Output Example 🧾

{
  "username": "ai_insights",
  "profileName": "AI Insights Daily",
  "profileUrl": "https://twitter.com/ai_insights",
  "followers": "220K",
  "following": "845",
  "tweets": "12,540",
  "bio": "Daily updates on AI, ML, and future tech. Business inquiries: aiinsights@techmail.com",
  "snippet": "220K Followers, 845 Following, 12,540 Tweets — AI Insights Daily (@ai_insights): « Daily updates on AI, ML, and future tech. »",
  "platform": "Twitter",
  "thumbnail": "//external-content.duckduckgo.com/ip3/twitter.com.ico"
}

📫 Support

If you're satisfied with this scraper, please leave a ★★★★★ rating! For questions, feature requests, custom scrapers, or business inquiries, feel free to reach out via Apify — ContactMinerLabs 🌩️