Scrape Reddit posts with BrowserAct, summarize with Gemini, and save to Google Sheets
UnknownWhat this workflow does
This AI workflow has 18 nodes and runs on a schedule (every day at 10:00). Along the way it connects Google Gemini Chat Model, Google Sheets and Browseract (community).
How it runs
Trigger: On a schedule (every day at 10:00).
- GSheets: Read Config (Google Sheets): uses Google Sheets
- If: checks a condition and branches into true / false
- Is Competitor? (If): checks a condition and branches into true / false
- Loop: Keyword List (Loop Over Items (Split in Batches)): loops over the items in batches
- Loop: Competitor List (Loop Over Items (Split in Batches)): loops over the items in batches
- Browser Act: uses Browser Act
- Browser Act: uses Browser Act
- Clean Keyword Data (Code): runs custom JavaScript code
- Clean Competitor Data (Code): runs custom JavaScript code
- Format Keyword Digest (Code): runs custom JavaScript code
…plus 5 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-browseract is verified or supports 3.0 (used in BrowserAct: Scrape Keywords, BrowserAct: Scrape Subreddit).
Nodes used (8)
- Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Google Sheets
n8n-nodes-base.googleSheets - If
n8n-nodes-base.if - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Browser Act
n8n-nodes-browseract.browserAct - Code
n8n-nodes-base.code - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
From the author
🕵️♂️ Reddit Intelligence Monitor: AI-Powered Scraping with BrowserAct Automate your market research and competitor analysis with this powerful "Set and Forget" workflow. It monitors Reddit for specific keywords and competitor subreddits, uses BrowserAct for…