Quick overview This workflow listens for Telegram messages containing a URL, fetches and cleans the webpage content, summarizes it with an OpenAI chat model, and replies in the same Telegram chat with a formatted summary including key points and action items. How it works Triggers when a new Telegram message is received by your bot. Extracts the first http/https URL from the message text and captures the sender’s chat ID. If no valid URL is found, sends an error message back to the same Telegram chat. If a valid URL is found, fetches the webpage HTML and extracts the title and cleaned body text while removing common boilerplate elements. Truncates the extracted text to a configurable maximum length and sends the title, URL, and text to OpenAI to generate a structured JSON summary. Formats the JSON into Telegram HTML (title, source link, summary, key points, and insights/action items) and sends it back to the original chat. Setup Create a Telegram bot and add a Telegram API credential in n8n, then select it in both the Telegram Trigger and the send-message steps. Add an OpenAI API credential in n8n and select it for the OpenAI chat model used for summarization.
Tags
HTMLWHTTP Request
OpenAI Chat Model
Structured Output ParserRelated workflows
See all AI Automation→WScrape and summarize webpages with AI
This workflow integrates both web scraping and NLP functionalities. It uses HTML parsing to extract links, HTTP requests to fetch essay content, and AI-based summarization using GPT-4o. It's an excellent example of an end-to-end automated task that is not only efficient but also provides real value by summarizing valuable content. Note that to use this template, you need to be on n8n version 1.50.0 or later.
AI: Summarize podcast episode and enhance using Wikipedia
The workflow automates the process of creating a summarized and enriched podcast digest, which is then sent via email. Note that to use this template, you need to be on n8n version 1.19.4 or later.
WScrape and score Amazon products with Apify, OpenAI, and Google Sheets
Quick overview This workflow manually scrapes product results from an Amazon search URL via the Apify Amazon Crawler actor, uses OpenAI to generate a structured product analysis (category, key feature, verdict, value score), and appends the enriched results to a Google Sheets spreadsheet. How it works Runs when you manually click “Test workflow” in n8n. Sends the configured Amazon search URL and scraping limits to the apify Amazon Crawler actor and retrieves the dataset items. Filters out any scraper items that are missing a title or contain an error. Uses OpenAI to analyze each product’s title, brand, price, rating, and review count and returns a structured category, key feature, buyer verdict, and 1–10 value score. Combines the scraped fields and AI analysis into a single row format and adds a timestamp. Appends each enriched product as a new row in Google Sheets. Setup Create an apify API token and add it as an HTTP Header Auth credential used by the Apify request. Add an OpenAI API key as an OpenAI credential and choose the model to use in the configuration. Connect a Google Sheets OAuth2 account and select the target spreadsheet, sheet tab, and columns for appending rows. Upda