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Reddit Email Scraper

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Reddit Email Scraper

Reddit Email Scraper

scraper-mind/reddit-email-scraper
Try for free

2 hours trial then $5.00/month - No credit card required now

The Reddit Email Scraper efficiently extracts email addresses from Reddit posts and comments using targeted keywords. Ideal for market research and influencer outreach, it delivers accurate results at 50% lower costs than competitors.

Reddit Email Scraper - Fast, Accurate & Affordable

The Reddit Email Scraper is a powerful tool designed to extract email addresses from Reddit posts and comments based on your chosen keywords. Perfect for market research, outreach, and connecting with potential influencers, this scraper offers reliable results at a fraction of the cost of competitors!

🌟 Key Features

  • 🔍 Custom Keyword Search: Target specific Reddit threads or comments using any keyword to find relevant users in your niche.
  • 📧 Domain-based Email Extraction: Extract email addresses filtered by specific domains (e.g., @gmail.com, @yahoo.com) for targeted outreach.
  • 👤 Comprehensive User Information: Collect usernames, post titles, URLs, and snippets for valuable insights into user interests.
  • 🔗 Direct Reddit Post Links: Get direct links to Reddit posts or comments, facilitating easy follow-up.
  • Fast, Affordable, and Reliable: Enjoy quick scraping at a cost that’s 50% lower than competitors without compromising on quality.
  • 🔄 Automatic Pagination: Automatically navigate through multiple Reddit threads or comments, handling large datasets effortlessly.
  • 📊 Highly Scalable: Works without proxies for smaller extractions or utilize Datacenter, Residential, or Special Proxies for larger tasks to ensure success.

📥 Input

The scraper accepts the following JSON input:

1{
2  "customDomains": [
3    "@gmail.com",
4    "@yahoo.com"
5  ],
6  "keyword": "digital marketing",
7  "platform": "Reddit",
8  "proxyConfiguration": {
9    "useApifyProxy": false
10  }
11}
  • customDomains (required) : Specify email domains to filter (e.g., @gmail.com, @yahoo.com).
  • keyword (required) : Input the keyword to search relevant Reddit posts and comments (e.g., "digital marketing").
  • platform: Set as Reddit to ensure focused searches on the platform.
  • proxyConfiguration (optional) : Enable proxies for larger extractions to avoid rate-limiting. Start with Datacenter Proxies, moving to Residential or Special Proxies if needed.

📤 Output

The scraping returns a dataset in JSON format containing essential information about each extracted Reddit user:

1[
2  {
3    "title": "Best Strategies for Digital Marketing",
4    "description": "Check out my blog on digital marketing tips! Email: guru.marketing@gmail.com",
5    "url": "https://www.reddit.com/r/marketing/comments/abc123/best_strategies_for_digital_marketing/",
6    "email": "guru.marketing@gmail.com"
7  },
8  .....
9]

Each result includes:

  • Username: Reddit username associated with the post or comment.
  • Post Title: Title of the relevant Reddit post.
  • Description: A snippet from the post or comment, often including email addresses.
  • URL: Direct link to the Reddit post for easy access.
  • Email: Extracted email address from the user's post or comment.

💻 How to Use

  1. Input Your Keywords and Email Domains: Enter your keyword and the email domains in the input parameters.
  2. Run the Scraper: The scraper will search Reddit to find posts and comments matching your criteria, scraping the data into your dataset.
  3. Proxy Setup (optional) : For large-scale extractions, utilize proxies to avoid blocks.
  4. Download & Use the Data: Export the results in formats such as JSON, CSV, or Excel for easy outreach and analysis.

💡 Best Use Cases

  • 🎯 Market Research: Analyze discussions around specific topics to identify trends and user interests.
  • 📣 Influencer Outreach: Connect with Reddit users who have expertise or influence in your niche.
  • 💬 Community Engagement: Gather insights from users and foster community discussions around your brand or product.
  • 🤝 Partnership Opportunities: Identify potential collaborators or partners based on shared interests.

🆘 Support & Feedback

If you encounter any issues, have questions, or would like to suggest new features, please reach out via the Issues section. We're dedicated to ensuring the tool meets your needs!

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Maintained by Community

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  • 5 monthly users

  • 0 No stars yet

  • >99% runs succeeded

  • Created in Oct 2024

  • Modified 22 days ago