Market Data Collection and Visualization Workflow

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This n8n workflow automates the process of collecting, analyzing, and sharing market capitalization data of companies based on user input. It starts with a form where a user submits a keyword related to a company or sector. The workflow then triggers a Bright Data API request to scrape fresh market data related to the keyword, with a brief wait to allow data processing. It periodically checks the status of the data collection process and, once ready, fetches the final dataset.

Next, it processes the fetched data to generate a bar chart visualizing the market capitalizations of multiple companies. The chart is created using a code node that formats the data into a visual payload, which is then converted into a PNG image via a quick chart API. Finally, the workflow sends this visual report to a specified Telegram chat, allowing quick and easy dissemination of financial insights.

This workflow is practical for financial analysts or business teams who want to monitor market trends, visualize company valuations dynamically, and share insights instantly through Telegram, all automated to save time and ensure timely updates.

Node Count

11 – 20 Nodes

Nodes Used

code, formTrigger, googleSheets, httpRequest, if, stickyNote, telegram, wait

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