Automated daily stock market report with Bright Data, GPT-4.1, Airtable/Gmail
Ready for 3.0What this workflow does
This AI workflow has 15 nodes and runs on a schedule (every day). Along the way it connects OpenAI Chat Model, Gmail and Airtable. It also calls api.brightdata.com over HTTP.
How it runs
Trigger: On a schedule (every day).
- Set Stock List (Edit Fields (Set)): sets 1 field: json
- Split Stocks (Split Out): splits a list into separate items
- Prepare Stock Keyword (Edit Fields (Set)): sets 1 field: keyword
- Bright Data Scraper (HTTP Request): calls api.brightdata.com (POST)
- Check Scraper Progress (HTTP Request): calls an HTTP API
- Scraper Status Switch (Switch): routes items into 2 branches
- Fetch Scraper Results (HTTP Request): calls an HTTP API
- Wait: waits 20 seconds
- Aggregate: combines items into one
- Save to Airtable (Daily Stocks) (Airtable): create
…plus 1 more step. See the full node list below.
Services it uses
HTTP calls to: api.brightdata.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (12)
- Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Split Out
n8n-nodes-base.splitOut - HTTP Request
n8n-nodes-base.httpRequest - Switch
n8n-nodes-base.switch - Wait
n8n-nodes-base.wait - Aggregate
n8n-nodes-base.aggregate - AI Agent
@n8n/n8n-nodes-langchain.agent - Gmail Tool
n8n-nodes-base.gmailTool - Airtable
n8n-nodes-base.airtable
From the author
📘 Workflow Documentation – Stock Market Daily Digest 👋 Introduction Wake up to a clean, analyst-style stock digest in your inbox—top gainers/losers, a readable performance table, 3–5 insights, and upcoming events—no spreadsheets, no manual scraping, no…