Reddit Data Scraper

Reddit is the most popular online forum where people discuss almost all matters and topics. It has more than 430 million monthly and 52 million daily active users. Whatever the topic is, you will find a subreddit related to it. It is an excellent platform for collecting social data. Reddit allows people to create subreddits and small community pages specific to subjects. Hence, it is an excellent platform for collecting social data. If you are in research, internet marketing, or any other related field, scraping Reddit data is an excellent source for procuring research, reference, and analysis data. iWeb Data Scraping offers exceptional Reddit data extraction services to scrape Reddit data, including post date, comments, subreddit data, content text, categories, leaderboard, etc., across the USA, UK, Dubai, Canada, India, Australia, France, Germany, UAE, Spain, Philippines, and Mexico.

Use our advanced design Reddit data scraper to track public opinions about their brand, collect feedback, understand competitors' strategies, and generate alerts.

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Use iWeb Data Scraping Data Collector,
or purchase a Reddit dataset

  • Scrape Reddit to monitor consumer sentiment & brand awareness
  • Capture online conversations to protect brand image
  • Collect Reddit data to discover new trends and topics
  • Discover new topics and ideas for brand marketing

Reddit Scraper Overview

  • The Reddit scraping tool can collect unlimited data at a large scale quickly and effectively.
  • It uses proprietary site-unlocking technology.
  • Reddit web scraper can interact with Reddit API to Scrape subreddit data. It uses HTTP requests to send queries and receive responses.
  • The scraper can extract several data from Reddit, including comments, posts, user profiles, subreddit, etc.
  • The scraper can handle rate limits by tracking the number of requests made and avoid getting blocked.
  • It has a data storage component to save the extracted data for further analysis or processing.
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Reddit profile

Sample Input
name
bluestblue
Sample Output 
        
            {
                "avatar": "https:\/\/www.redditstatic.com\/avatars\/defaults\/v2\/avatar_default_7.png",
                "has_premium": false,
                "karma": 1613772,
                "cake_day": "April 5, 2010"
            }

How To Use Data Collected with the Reddit Data Extractor?

  • The Reddit data collected using social media app data scraping service is helpful to monitor conversations and predict the latest trends and fashions.
  • Use the data collected from frequently discussed topics, most upvoted posts, or comments with specific Reddit to gain valuable insights for market research and trend analysis.
  • Use the Reddit scraped data to understand the interests and preferences of Reddit users.
  • The collected data from Reddit discussions about products or brands will provide valuable insights into customer opinions, feedback, and sentiments. Use this data to identify emerging trends, address customer concerns, and make data-driven decisions to enhance your products or services.
  • The vast amount of user-generated content can be a valuable dataset for academic research.
  • The collected data helps track your competitor's performance and determine their strengths and weaknesses.
  • The collected data will inspire you to make new content aligned for marketing and PR campaigns.
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How it works

  • STEP 1

    Choose the website you would like to scrape public data from, in real-time.

  • STEP 2

    Select the frequency: real-time or scheduled, and delivery format: JSON, CSV, HTML, or Microsoft Excel.

  • STEP 3

    Decide where to send the data: webhook, email, Amazon S3, Google Cloud, Microsoft Azure, SFTP, or API.

Want to learn more?

Talk to an expert to discuss your data collection needs and see our platform in action.

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Schedule A Free Consultation

Natalie

Natalie Williams

Business Consultant

+1 424 2264664
info@iwebdatascraping.com

What You Will Have in Consultation?:

  • Our procedure to execute idea
  • Ballpark Cost Estimations
  • Non-Disclosure Agreement (NDA)
  • Technology Specifications
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