Ghulam-e -Mustafa Patel
I Build an AI Automation for your business to automate task
Profile in progress
Ghulam-e -Mustafa is building their profile!
This is another clean n8n automation workflow — an Amazon Product Data Scraper. Here's what it does:
What it does, end to end:
Watches a Google Sheet — polls every minute for new rows added to a sheet called "Amazon Product." Each row is expected to contain an ASIN number (Amazon's unique product identifier).
Filters unprocessed rows — only picks up rows where the STATUS column is empty, so it never re-processes products that have already been fetched.
Loops through items one by one — uses a batch loop to process each new ASIN individually, avoiding bulk failures.
Scrapes Amazon via Apify — sends the ASIN to the Axesso Amazon Product Details Scraper on Apify, which fetches live product data including the title, URL, and product images.
Updates the sheet — writes the scraped data back into the same row: product name, product URL, the first product image (as a Google Sheets =IMAGE() formula so it renders inline), and sets STATUS to "done" to prevent reprocessing.
Tech stack: n8n + Google Sheets + Apify (Axesso scraper) + HTTP Request.
0
14
This is another n8n automation workflow — a Legal PDF Auto Summarizer. Here's the full picture:
What it does, end to end:
Watches a Google Drive folder — polls every minute for new files added to a "Legal Documents" folder.
Downloads & extracts text — grabs the PDF and pulls out the raw text content.
AI summarization via Google Gemini — feeds the text to a Gemini-powered AI Agent with a legal assistant persona. It's asked to identify the major findings of the document and format them cleanly with headings and bullet points.
Converts the summary to a text file — the AI's output is saved as a .txt file, named after the original PDF (e.g. contract_summary.txt).
Uploads the summary back to Drive — the .txt file is saved right back into the same "Legal Documents" folder alongside the original PDF.
Emails the summary — simultaneously sends the summary text to gmpatel404@gmail.com (mailto:gmpatel404@gmail.com) with a subject line like ContractName - Summary | 10 May 2026.
Tech stack: n8n + Google Drive + Google Gemini (PaLM) + Gmail.
0
7
This is a nicely built n8n automation workflow — an Invoice Parser Agent. Here's a breakdown of what it does:
What it does, end to end:
Watches a Google Drive folder — polls every minute for new PDF files dropped into a specific "Invoice" folder.
Downloads & extracts text — when a new file appears, it downloads it and extracts the raw text from the PDF.
AI-powered data extraction — passes the text to an LLM (via OpenRouter's free tier) configured as an Information Extractor. It pulls out 7 structured fields: Invoice Number, Sender Name, Sender Email, Sender Address, Total Amount, Invoice Date, and Due Date.
Logs to Google Sheets — appends the extracted data as a new row in a Google Sheet called "Invoice."
AI Agent writes a notification email — a second LLM call acts as a "professional email writer," generating a formatted subject line and message body in strict JSON format.
Sends the email via Gmail — fires off the AI-composed email notification to gmpatel404@gmail.com (mailto:gmpatel404@gmail.com) (the billing team).
Error handling — if the AI agent fails, instead of crashing silently, it logs an error message to a separate "Error Sheets" tab in the same spreadsheet for manual review.
Tech stack: n8n + Google Drive + Google Sheets + Gmail + OpenRouter (free LLM tier) + LangChain nodes (Information Extractor, AI Agent, Structured Output Parser)
0
22
I make an AI Agent for Real Estate businesses that run24/7 on website. If anyone need it Plz DM me
0
23