Twitter/X Email Scraper (⭐ Fast & Affordable) 📧🎵

Twitter/X Email Scraper 📧🎵

The Twitter/X Email Scraper allows you to search for Twitter/X users based on specific keywords (e.g., interests, names, or hashtags) and scrape email addresses associated with their profiles.

You can easily gather detailed information, including Twitter/X user emails, profile links, and usernames, all tailored to your search criteria.

Description 💯🎶

The Twitter/X Email Scraper is designed to help you find Twitter/X users based on any keyword (e.g., interests, trending hashtags, or user names) and scrape email addresses linked to their profiles. With customizable filters, you can specify the maximum number of results, filter by email domain, and more.

This tool allows you to gather:

User Email 📧
Email Domain 🌐
Twitter/X Profile Link 🌍
Usernames 📝

How many results can you extract using this Tool? 🔍

There’s no limit to the number of results you can extract 📊!

You can collect as many Instagram email profiles as needed based on your query and filters 🔍.

Key Features ✨

• Unlimited Results 🔢: Extract as many results as needed.

• Customizable Filters 🛠️: Specify your keyword or interest and email domain.

• Detailed Information 📋: Retrieve emails, usernames, and Instagram profile links.

• Flexible Search 🔍: Tailor the search for specific users or profiles.

💸 Pricing

This scraper operates on a monthly subscription basis, priced at $9.90/month.

How to Use? 📲

Using the Twitter/X Email Scraper is simple and straightforward. Just follow these steps:

Sign up for an account on Apify 🔑.
Access the Twitter/X Email Scraper on the Apify platform 🌐.
Enter a keyword (e.g., "fashion" or "fitness") to search Twitter/X profiles.
Specify the email domain (e.g., "@gmail.com") to filter results.
Set the maximum number of results to scrape (e.g., 30).
Click "Start" to begin the scraping process.
Download the results in your preferred format (JSON, CSV, Excel, etc.).

That’s it! You’ll have all the Twitter/X emails and profile information in no time!

Applications 🌟

User Research: Discover Twitter/X users with specific keywords and emails for marketing or outreach.

Data Collection: Gather contact information for building a user database or list.

Social Media Influencer Marketing: Identify influencers for potential partnerships or outreach.

Trend Analysis: Analyze Twitter/X users by keyword or hashtag for trend tracking.

Input Example 📲 👌

The scraper accepts various parameters to customize the scraping process. Here’s how to structure your input JSON:

{
    "keyword": "fitness",
    "domainemail": ["@gmail.com", "@yahoo.com"],
    "maxemails": 30
}

Example Output from Twitter/X Email Scraper 👌

After scraping, the tool provides you with a dataset of Twitter/X user emails and relevant profile data. Here's an example of the output:

{
      "Email": "marketingimpact543@gmail.com",
      "Domain": "gmail.com",
      "Title": "IMPACT | Marketing agency (@impact_marketing_agency_)",
      "Detail_Link": "https://www.instagram.com/impact_marketing_agency_/",
      "Keyword": "marketing",
      "DomainEmailUsed": [
          "@gmail.com",
          "@hotmail.com",
          "@yahoo.com"
      ]
  },
  {
      "Email": "Rive4agency@gmail.com",
      "Domain": "gmail.com",
      "Title": "Food Marketing (@rive.agency) • صور ومقاطع فيديو على ...",
      "Detail_Link": "https://www.instagram.com/rive.agency/?locale=ar-en&hl=en",
      "Keyword": "marketing",
      "DomainEmailUsed": [
          "@gmail.com",
          "@hotmail.com",
          "@yahoo.com"
      ]
  },

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If you're interested in other Social media scraper or leads generation Actors:

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Can I use this Twitter/X Email Scraper in Python? 🎓

Yes, you can use the Apify API with Python to access the Instagram Email Scraper. Just install the apify-client package from PyPI and follow the documentation for integration.

📫 Support

😊 Leave us a star ⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️ Happy scraping! 😊