Financial Q&A Chatbot: SerpAPI, Google Finance & OpenAI
Builds a chatbot that fetches real-time financial data via SerpAPI and generates natural language responses using OpenAI for queries like stock prices or market summaries.
This n8n workflow powers a conversational Financial Data Q&A Chatbot, starting with a Chat Trigger that captures user questions such as 'What's the current price of Tesla?' or 'Summarize S&P 500 performance.' It then uses an HTTP Request node to query SerpAPI's Google Finance endpoint, pulling live market data including prices, changes, and trends for tickers or indices.
Next, the OpenAI node processes the raw data alongside the user's query, crafting clear, conversational responses with context like percentages and comparisons. The output delivers polished answers ready for chat interfaces, Slack, or other channels. Benefits include instant access to accurate financial insights without manual research, reducing time spent on market checks and enabling scalable Q&A automation.
Ideal use cases span personal finance tracking, trading desks for quick lookups, investment newsletters, or daily market recaps. Customize by adding multi-ticker support, scheduling for automated reports, or integrating with email/Slack for distribution. Extend with news or company info via SerpAPI params, and tweak OpenAI prompts for formal reports or casual chats—saving hours weekly for finance pros.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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