Reddit Scraper

What Does BrowserAct Reddit Scraper Do?

Automatically extract Reddit post data and associated comments with our powerful Reddit scraper tool. Capture post titles, body text, publication times, comment counts, individual comment threads, commenter details, and timestamps from any subreddit or search results page. Enjoy flexible filtering and output options for comprehensive discussion analysis—no coding required.

Our Reddit scraper is built for seamless integration with automation platforms like Make.com, making it ideal for ongoing monitoring and data extraction tasks.

What Data Can I Extract from Reddit?

With BrowserAct's Reddit Scraper, you can pull a wide range of publicly available data for analysis. Here's a breakdown:

Reddit Posts

• Post titles
• Body text
• Publication times
• Comment counts

Reddit Comments

• Individual comment threads
• Commenter details
• Timestamps

Key Features of Reddit Scraper

• Customizable Parameters: Adjust Total_Comments to control extraction depth (e.g., 10, 20, or 50 per post).
• Flexible Post Selection: Set max loop items for 5, 10, or more posts from searches or subreddits.
• Dual-Level Extraction: Captures post metadata and comment threads for full context.
• Hierarchical Data Structure: Preserves post-comment relationships.
• Search & Subreddit Support: Compatible with searches, subreddits, and trending pages.

How to Scrape Reddit

Quick Start Guide: How to Use Reddit Scraper in One Click

If you want to quickly start experiencing scraping Reddit, simply use our pre-built "Reddit Scraper" template for instant setup and start scraping Reddit effortlessly.

1. Register Account: Create a free BrowserAct account using your email.
2. Configure Parameters: Fill in necessary inputs like TargetURL (e.g., "https://www.reddit.com/search/?q=scraper") and Total_Comments (e.g., 10) – or use defaults to learn how to scrape Reddit quickly.
3. Start Execution: Click "Start" to run the workflow.
4. Download Data: Once complete, download the results file from Reddit scraping.

How to Build a Reddit Scraper Workflow: Step by Step

Reddit Scraper workflow building with BrowserAct requires no coding skills—it's automation-ready and easy to set up. Follow these step-by-step instructions to get started.

1. Determine Your Scope

Decide the number of posts and comments to extract (e.g., 10 posts with the first 10 comments each). Adjust parameters like Total_Comments for flexibility.

2. Start Node Parameter Settings

• Total_Comments: Set the number of comments per post (e.g., 10). Delete this for unlimited extraction.
• TargetURL: Enter your Reddit link (e.g., https://www.reddit.com/search/?q=scraper).
  Note: Customize based on needs—works with subreddits, searches, or trending pages.a

3. Visit Page

In the prompt box, enter "/targeturl" – this will navigate to the target URL.

4. Add Loop List Node

Loop List Prompt: "Loop through the post list in the middle section of the page". This node specifies the location for looping through the list.

• Max Focused Loop Items: Set to your desired post count (e.g., 10 for 10 posts).

Note: The number of focused items here represents the number of posts you want to extract. For example, if you want to extract 20 posts, adjust this value to 20.

5. Add Extract Data Item

In the prompt box, enter "Extract the following fields from the post item: Post Title, Post Body, Publication Time, Comment Count."

6. Add Click Element Item

In the prompt box, enter "Click the title link in the current post Item".

7. Add Extract Data

• In the Data Field prompt box, enter "Extract comments from the lower middle comment section of the page, including for each comment: Comment Text, Comment Time, Commenter. Use 'N/A' for any missing fields." Note: You can specify the exact location of the data to be collected on the page to increase the accuracy of data extraction.
• In the Filtering Criteria prompt box, enter "Extract the first /Total_Comments comments from the lower middle comment section of the page."

8. Output Data

Export in JSON, CSV, XML, or Markdown (MD) formats.

Key Benefits of Reddit Scraper

Reddit Scraper offers a range of advantages that make data extraction simple, efficient, and powerful. Here's why it's a top choice for Reddit web scraping Reddit:

• No Coding Required: Set up and run extractions effortlessly without any programming skills—perfect for beginners and pros alike.
• Customizable and Flexible: Adjust parameters like post limits, comment depth, and target URLs to tailor results to your exact needs.
• Hierarchical Data Output: Maintains post-comment relationships in structured formats (e.g., JSON, CSV) for easy analysis and integration.
• Automation Integration: Seamlessly works with Make.com, n8n, and other platforms for scheduled, hands-off web scraping for Reddit.
• Cost-Effective: Start with free trials for small-scale tasks, scaling affordably for larger datasets while respecting Reddit's policies.
• Accurate and Reliable: Handles automatic page loading, uses 'N/A' for missing data, and includes rate limit handling to ensure consistent results.

These benefits make Reddit Scraper an efficient tool for turning raw Reddit data into actionable insights.

Who Can Use Reddit Scraper?

Reddit Scraper is designed for anyone needing quick, reliable access to Reddit data. It's ideal for a variety of users, including:

• Market Researchers and Analysts: Extract discussions for consumer behavior studies, trend analysis, and sentiment tracking.
• Brand Managers and Marketers: Monitor feedback, track brand mentions, and identify PR opportunities across subreddits.
• Product Developers and Teams: Gather user insights on pain points and features to inform product roadmaps.
• Content Creators and Journalists: Collect opinions, quotes, and trends for articles, reports, or social content.
• Data Scientists and Developers: Build datasets for machine learning, APIs, or custom integrations with tools like Make.com.
• Small Businesses and Startups: Conduct affordable competitive research without needing advanced technical skills.
• Academics and Students: Research community opinions on topics like politics, technology, or social issues.

No matter your background, if you're looking to scrape Reddit without hassle, this tool is accessible and effective for both individuals and teams.

Use Cases for Reddit Scraper

Reddit Scraper is versatile for various real-world applications. Here are some key ways to use it for extracting and analyzing Reddit data:

• Brand Monitoring: Track mentions of your brand or products in subreddits to gauge public opinion and respond to feedback.
• Sentiment Analysis: Extract posts and comment threads to analyze user emotions on topics like politics, tech, or finance.
• Market Research: Collect discussions on trends, consumer preferences, and emerging ideas for informed decision-making.
• Competitive Intelligence: Scrape competitor-related threads to identify strengths, weaknesses, and market opportunities.
• Content Curation: Gather user-generated content, quotes, or ideas for blogs, reports, or social media strategies.
• Product Development: Identify pain points and feature requests from detailed comment analysis in relevant communities.
• Trend Tracking: Monitor debates on high-stakes subjects like news, technology, or finance to spot new attitudes and PR chances.

Whether for one-off projects or ongoing monitoring, Reddit Scraper helps transform Reddit conversations into valuable data.

Make.com Integration

BrowserAct's Reddit Scraper is now available as a native app on Make.com—add it to your scenarios without API hassle.

• Automation-Ready: Integrate with Make, n8n, or others for scheduled monitoring.
• Rate Limit Handling: Built-in delays to comply with Reddit policies.
• Multi-Topic Tracking: Run instances for different keywords/subreddits.

💡 Use Case Tip: Ideal for discussion-level analysis, sentiment tracking, and feedback research with post context and top comments.

🚀 Quick Start with Make.com: Search for "BrowserAct" in Make.com's app directory and add it directly—no complex setup.

Need help? Contact us at

• 📧 Discord: [Discord Community]
• 💬 E-mail: service@browseract.com