Productivity

Scrape Books from URL, Clean HTML, Save to Sheets, Email as CSV

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  • Delivery Time 1-3 Days
  • Response Time 1 Day
  • English Level Basic level

Description

🧠 Who Is This Agent For?

This intelligent automation is built for:

βœ”οΈ Virtual Assistants & Researchers
To extract product information like book title and price without manual data entry

βœ”οΈ Developers & Automation Specialists
As a plug-and-play template for web scraping and data pipeline automation

βœ”οΈ Data Analysts
To get ready-to-use, clean, sorted data from product catalogs for analysis

βœ”οΈ E-commerce Businesses
To monitor pricing trends, competitor listings, or create internal product datasets

❓ What Problem Does It Solve?

Extracting structured data from websites manually is slow, error-prone, and repetitive. This workflow addresses:

⏳ Manual Data Entry
Replaces copy-paste tasks with automatic data extraction

🧩 Inconsistent or Messy Data
Ensures structured, uniform output every time

πŸŒ€ Time Wastage on Recurring Tasks
Handles ongoing scraping needs with zero manual effort

πŸ“‚ No Automation
Adds end-to-end delivery β€” from scraping to CSV email in one flow

🧾 Limited Data Delivery
Delivers the final CSV via email, ready for direct use or further processing

βœ… The Solution

This smart workflow scrapes catalog-style websites (e.g., book stores) and:

🧠 Scrapes page content via Dumpling AI
πŸ“š Extracts product details using HTML & CSS selectors
πŸ”’ Sorts data based on fields like price or title
πŸ“„ Converts output into a structured CSV file
πŸ“© Delivers the file via Gmail automatically

βš™οΈ How It Works β€” The Flow

πŸ“₯ 1. Trigger: Watch Google Sheet
The workflow starts when a new URL is added to a monitored Google Sheet

🌐 2. Scrape Webpage HTML
A Dumpling AI node fetches cleaned HTML from the target webpage

πŸ” 3. Extract Book Entries
HTML node extracts book blocks using .row > li as the main selector

πŸ”— 4. Split Individual Books
Array of HTML blocks is split so each book can be processed independently

🏷️ 5. Extract Book Title & Price
CSS selectors (h3 > a and .price_color) extract title and price from each book entry

πŸ“Š 6. Sort by Price
Books are sorted in descending order using the price field

🧾 7. Convert to CSV
The sorted data is transformed into a downloadable CSV file

πŸ“§ 8. Send Email with CSV Attachment
Email is sent via Gmail node, attaching the CSV and adding a custom message

πŸ› οΈ Customization Options

🧩 Extract More Fields
Add selectors to pull author, availability, product links, ISBN, or other info

πŸ“€ Change Delivery Method
Swap Gmail for Google Drive, Slack, Dropbox, Notion, or database uploads

πŸ” Trigger Flexibility
Trigger by webhook, Airtable, form input, schedule, or manual launch

↔️ Adjust Sorting Logic
Sort by price, title, author, availability, or any numeric/alphabetic field

🌐 Scrape Different Sites
Change the URL and CSS selectors to support other catalogs or product sites

⚠️ Add Error Handling
Insert conditional logic or alerts if scraping fails or output is empty

🧼 Enrich or Clean Data
Add transformation nodes to standardize, format, or enrich the extracted data

About The Seller

harsh siso...

AI Workflow & Automation Developer

No Reviews
  • Location:

    India
  • Member since:

    July 9, 2025
Starting From
β‚Ή4,000.00

Ref #: EX-8958

Ready To Get Started