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January 22, 2026

Reddit + Google Sheets: a clean learning link log

Lisa Granqvist Partner Workflow Automation Expert

Your “read later” list is probably a graveyard. You save a link from Reddit, screenshot a thread, maybe bookmark a tutorial, then it disappears under the next wave of tabs.

This is the kind of mess that hits marketers who need fresh angles, agency owners building internal training, and operators trying to level up without doomscrolling. With a Reddit Sheets log, you collect the best learning links automatically and keep one clean list your team can actually use.

This workflow pulls from Reddit and RSS, filters out promo fluff with AI, and appends only the useful stuff into Google Sheets. You’ll see how it works, what you need, and what to tweak so the feed matches your goals.

How This Automation Works

The full n8n workflow, from trigger to final output:

n8n Workflow Template: Reddit + Google Sheets: a clean learning link log

The Problem: Learning Content Gets Lost in the Noise

Finding good learning material is not the hard part. The hard part is catching it, keeping it, and being able to find it again when you actually have time to learn. Reddit has gems, but it also has self-promotion and “hot takes” that waste an afternoon. RSS feeds are quieter, but they still pile up fast. When you’re manually saving links, you end up with duplicates, missing context, and a list you don’t trust. So you stop using it, then start over, then repeat next month.

It adds up fast. Here’s where it breaks down in real life.

  • You spend about 20 minutes a day collecting links, and still miss the best posts.
  • Promotional content sneaks in because “looks useful” is hard to judge at speed.
  • Your saved links have no consistent format, which makes searching and sharing annoying.
  • Once you want to scale this to a team, everyone uses a different system and nothing sticks.

The Solution: An AI-Filtered Learning Link Log in Google Sheets

This workflow runs on a schedule (twice a day by default) and builds a curated “learning feed” for you automatically. First, it reads your keyword list from Google Sheets, so you’re not editing the automation every time your priorities change. Then it searches two sources for each keyword: RSS feeds you provide and Reddit results pulled via an HTTP request. The workflow merges those results, formats them into a clean bundle, and hands them to an AI agent that filters for what you actually want: educational, relevant, and non-promotional posts. Finally, it interprets the AI output and appends the winners to a Google Sheets log you can scan, sort, and share.

The workflow starts with your schedule and your keyword sheet. It gathers candidates from RSS and Reddit, then uses OpenAI (through an AI agent node) to decide what makes the cut. The end result is a tidy row-by-row learning backlog in Sheets, ready for review or distribution.

What You Get: Automation vs. Results

Example: What This Looks Like

Say you track 10 keywords (like “GA4”, “cold email”, “YouTube scripts”), and you follow 5 RSS sources. Manually, a quick scan across RSS plus a few Reddit searches is easily 10 minutes per keyword, so that’s about 100 minutes each cycle, and you still have to copy links into a doc. With this workflow running twice daily: you spend maybe 5 minutes updating keywords when priorities shift, then you just review the sheet for 10 minutes. That’s roughly an hour back per day when you’re in heavy research mode.

What You’ll Need

  • n8n instance (try n8n Cloud free)
  • Self-hosting option if you prefer (Hostinger works well)
  • Google Sheets for keyword input and link storage
  • OpenAI to filter and classify articles with AI
  • RSS feed URLs (collect from sites you trust)

Skill level: Beginner. You’ll connect accounts, paste feed URLs, and tweak a prompt.

Don’t want to set this up yourself? Talk to an automation expert (free 15-minute consultation).

How It Works

A schedule triggers the run twice daily. The workflow is set to run at set times (default is morning and evening), which means your log stays fresh without you remembering to check anything.

Your keyword list is pulled from Google Sheets. One sheet acts like a control panel: add keywords, remove stale ones, or adjust how broad you want your searches to be.

RSS feeds and Reddit results are collected, then merged. RSS is fetched through an RSS reader node, while Reddit is queried through an HTTP request. Both streams get combined so you can judge them with the same rules.

An AI agent filters for “worth saving.” The workflow formats each candidate link (title, snippet, URL, source), sends it through an AI relevance filter using an OpenAI chat model, and turns the response into a simple yes/no plus notes you can review later.

Only the curated links get appended to your Sheets log. The final output is a growing spreadsheet you can sort by keyword, date, or source. You can easily modify the sources (RSS list, subreddits, or even add another channel) to match what your team actually reads. See the full implementation guide below for customization options.

Step-by-Step Implementation Guide

Step 1: Configure the Scheduled Trigger

Set the schedule that starts the workflow twice daily.

  1. Add or open Scheduled Run Twice Daily and set the rule to trigger at 8 and 18 hours.
  2. Confirm Scheduled Run Twice Daily connects to Setup Parameters as the first step in the flow.

Step 2: Connect Google Sheets

Provide spreadsheet access for both reading keywords and writing results.

  1. Open Retrieve Sheet Keywords and select the Document with [YOUR_ID] and Sheet gid=0.
  2. Open Append to Sheets Log and select the Document [YOUR_ID] and Sheet [YOUR_ID].
  3. Verify the column mapping in Append to Sheets Log uses expressions: URL {{ $json.url }}, Title {{ $json.title }}, Source {{ $json.source }}, Added Date {{ $now.toISO() }}, Description {{ $json.description }}.
  4. Credential Required: Connect your Google Sheets credentials in both Retrieve Sheet Keywords and Append to Sheets Log (credentials are required but not configured).

⚠️ Common Pitfall: If the sheet IDs or column names don’t match, Iterate Keyword List may return no keywords and the rest of the workflow will produce empty outputs.

Step 3: Set Up Parameter and Keyword Processing

Define RSS feeds and normalize keyword rows before searching sources.

  1. In Setup Parameters, set rssFeeds to a comma-separated list of URLs (replace <__PLACEHOLDER_VALUE__Comma-separated RSS feed URLs to monitor__> with real feeds).
  2. Ensure Retrieve Sheet Keywords outputs a column named keyword or Keyword, which Iterate Keyword List parses.
  3. Review Iterate Keyword List code and confirm it trims and outputs { "keyword": "..." } for each row.

Tip: If your sheet uses a different keyword column name, add it in the Iterate Keyword List code fallback logic.

Step 4: Configure Source Collection and Parallel Fetching

Pull content from RSS and Reddit at the same time and merge results for AI evaluation.

  1. Set Query RSS Sources URL to {{ $('Setup Parameters').first().json.rssFeeds.split(',')[0] }} so it reads the first feed from your parameters.
  2. In Reddit Search Request, keep the URL as https://www.reddit.com/search.json and set query parameters to q={{ $json.keyword }}, limit=10, sort=relevance.
  3. Iterate Keyword List outputs to both Query RSS Sources and Reddit Search Request in parallel.
  4. Set Combine Source Results to Mode combine and Combine By combineAll to merge both source streams before formatting.
  5. Confirm Format Articles for AI receives merged input and returns articles, articlesText, and keyword for the AI step.

Step 5: Set Up AI Filtering

Use the AI agent to filter only the most relevant learning content.

  1. In AI Relevance Filter, keep the prompt text and verify it uses {{ $json.keyword }} and {{ $json.articlesText }} to evaluate relevance.
  2. Ensure OpenAI Chat Engine is connected as the language model for AI Relevance Filter with model gpt-4.1-mini.
  3. Credential Required: Connect your OpenAI credentials in OpenAI Chat Engine (credentials are required but not configured). Add credentials to the parent model node, not AI Relevance Filter.
  4. Validate that Interpret AI Output parses $json.output and maps selected article indices back to the Format Articles for AI results.

⚠️ Common Pitfall: If the AI returns text outside a JSON array, Interpret AI Output may return no items. Keep the prompt strict so the output is a clean array like [1, 3, 5].

Step 6: Configure Output to Sheets

Store selected articles in your Google Sheets log for later review.

  1. In Append to Sheets Log, set Operation to appendOrUpdate.
  2. Confirm Matching Columns includes Title to avoid duplicate rows.
  3. Ensure the input fields map from Interpret AI Output, which outputs the selected articles as individual items.

Step 7: Test and Activate Your Workflow

Run a manual execution to validate the end-to-end flow, then activate for scheduled production runs.

  1. Click Execute Workflow and watch data flow from Scheduled Run Twice Daily through Append to Sheets Log.
  2. Confirm Combine Source Results receives items from both Query RSS Sources and Reddit Search Request for at least one keyword.
  3. Verify AI Relevance Filter returns a JSON array and Interpret AI Output creates individual article items.
  4. Check your Google Sheet to confirm new rows were appended with the expected URL, Title, Source, Added Date, and Description.
  5. Toggle the workflow to Active to enable automated runs at 08:00 and 18:00.
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Common Gotchas

  • Google Sheets credentials can expire or need specific permissions. If things break, check the n8n credential manager and the sharing settings on the target spreadsheet first.
  • If you’re using Wait nodes or external processing, timing can vary. If the AI node sometimes returns empty output, increase the wait time slightly or reduce batch size so downstream steps don’t run too early.
  • Default prompts in AI nodes are generic. Add your “what counts as educational” rules early (and include examples), or you’ll be editing the sheet forever.

Frequently Asked Questions

How long does it take to set up this Reddit Sheets log automation?

About 30 minutes if your accounts are ready.

Do I need coding skills to automate a Reddit Sheets log?

No. You’ll connect Google Sheets and OpenAI, then paste your RSS feeds and keywords. The rest is just light tweaking in plain English.

Is n8n free to use for this Reddit Sheets log workflow?

Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in OpenAI API costs, which are usually a few cents per run depending on how many links you evaluate.

Where can I host n8n to run this Reddit Sheets log automation?

Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.

Can I customize this Reddit Sheets log workflow for a private team reading list?

Yes, and it’s a smart tweak. You can add a “team” column in the Google Sheet and adjust the AI Relevance Filter prompt to prioritize different topics per team (sales enablement vs. SEO vs. product). If you want distribution, you can also route the curated results to Slack after the “Interpret AI Output” step, while still appending everything to Sheets as the source of truth.

Why is my Google Sheets connection failing in this workflow?

Most of the time it’s permissions or an expired credential. Reconnect Google Sheets in n8n, then confirm the exact spreadsheet is shared with the connected Google account. Also check that the sheet tab name matches what the workflow expects, because a renamed tab looks like “missing data” to n8n.

How many links can this Reddit Sheets log automation handle?

A lot.

Is this Reddit Sheets log automation better than using Zapier or Make?

Often, yes, for this specific use case. The moment you add looping over keyword lists, merging two sources, and passing structured text through an AI filter, simpler “two-step” builders start to feel cramped. n8n handles branching and batching cleanly, and self-hosting removes the “every task costs extra” pressure when you run it twice a day. Zapier or Make can still work if you only need one source (just RSS, for example) and no AI judgment. If you’re unsure, Talk to an automation expert and pick the simplest tool that won’t box you in later.

You set this up once, and the workflow quietly keeps your learning pipeline full of signal. Honestly, it’s hard to go back to manual saving after you’ve used a clean log for a week.

Need Help Setting This Up?

Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.

Lisa Granqvist

Workflow Automation Expert

Expert in workflow automation and no-code tools.

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