How to Automate Reddit Data Extraction with n8n for Quality Content Ideas

Reddit is an excellent source of quality content ideas primarily because of its massive size, deep engagement, and highly specialized communities. Here are the key reasons:

Create an account in n8n and launch your instance, or self-host your n8n in your infrastructure

Create a new sheet in Google Sheets called "Reddit Analysis" and add a new page called "Subreddits" with Subreddit, Keyword columns.

Create another page in the same Sheet called Posts with the following columns Approved, Content Type, Title, Summary,Text, downs,Ups,Score,Upvote Ratio,Number of Comments,URL,Number of Awards Received,Subreddit,Is Video,Time Created,id, Engagement Score Quality

Create a new API key and add it as credentials to your n8n credentials

In Google Cloud Console, make sure the Google Sheets API is enabled, and create a new OAuth credential for it

In the first workflow, we have a form submission that has an input field where the user enters a keyword, and we use the Reddit API to search for all the subreddits that contain our keyword, and using the Code node, we remove duplicates Subreddits and provide a list of unique values to feed into the Google Sheet

Add a new node to run code for all items with the following content

In this step, we pull each subreddit name, loop over them with a 30-second wait at the end of the loop to prevent hitting the Reddit and Google Sheets rate limit. We use the Subreddit name, passing it to the Reddit API to pull all posts using a scoring system to filter good quality posts using API response for Score, UpVoteRatio, and NumberOfComments for each post to split them into Very High quality, High Quality, Moderate, and Low Quality.

Add a code node to run once for all items with the following content

Now it's your turn to go through each post item in the Posts sheet and Approve or Reject posts (Adding True or False in the Approved Column). This step adds an extra sanity check to review each post and make sure they have high quality and are in line with our content creation goals.

In this step, we are leveraging LLMs to loop over each Approved post, scrape their comments, and provide a summarization of each post with their comments and Tag content type (social media post, Video, Blog post)

Use a Schedule Trigger node to run the workflow at set intervals, then add the Reddit node to search posts within specific subreddits or by keywords, leveraging the "search" operation to filter for relevant content such as questions. You can then process and filter posts based on engagement metrics (like score or number of comments) using code nodes, and store the filtered results in Google Sheets, Airtable, or a database for review. Optionally, incorporate AI nodes for summarization or tagging to enhance content analysis. This approach allows automated, repeatable extraction of quality Reddit content aligned with your goals without manual intervention

The best practices to filter and refine Reddit data for content creation involve structuring and segmenting the data to enable dynamic and efficient filtering based on key criteria such as keywords, engagement metrics, and content type. Focus filtering on the backend to optimize performance, using engagement signals like post score, upvote ratio, and comment count to prioritize high-quality and relevant posts.

You can automatically convert extracted Reddit questions into blog posts or business ideas by integrating n8n with AI tools like OpenAI, which transform raw questions into structured content, including titles, introductions, detailed steps, and conclusions. This process can be combined with Google Sheets or CMS platforms to store and publish these AI-generated drafts, enabling scalable, community-driven content creation without starting from scratch.

n8n integrates well with various tools for storing and managing scraped Reddit data, including Google Sheets for simple, accessible storage and collaboration, Airtable for a more database-like experience, and cloud storage solutions like Google Cloud Storage, S3, and Dropbox for handling larger files or datasets.

When automating Reddit data extraction and content generation with n8n, key limitations include handling duplicate posts across multiple runs, which requires additional logic to avoid repeated scraping; rate limits imposed by Reddit's API and connected services like Google Sheets that can throttle the workflow; challenges in parsing complex or inconsistent post structures that may require custom code; and the necessity of maintaining human oversight to ensure quality and relevance since fully automated AI-based content generation can produce off-topic or low-quality results if unchecked.

Automating Reddit data extraction with n8n offers an effective way to tap into one of the richest sources of authentic, high-engagement content ideas available today. By leveraging n8n’s versatile workflow automation and integrating Reddit’s extensive niche communities, creators can systematically identify, filter, and harvest quality posts that align with their content goals. Incorporating human review alongside AI summarization ensures that only the most relevant and valuable material moves forward in the content creation pipeline, maintaining high standards while saving valuable time.

This approach not only enables scalable content ideation but also reveals deeper audience insights and trending topics that improve SEO and marketing strategies. With the right setup—including API integration, data management via Google Sheets, and smart engagement scoring—content professionals can build a powerful, repeatable system that continuously fuels fresh, audience-driven content ideas from Reddit’s dynamic conversations.

Ultimately, this method transforms the way content creators discover and develop ideas, combining automation and human judgment to maximize quality, relevance, and impact in today’s fast-paced digital landscape.