Scrape Books from URL with Dumpling AI, Clean HTML, Save to Sheets, Email as CSV
This workflow implements the functionality of automatically scraping book information from a specified website. It utilizes advanced technology to clean and extract HTML content, accurately obtaining book titles and prices, which are then organized in descending order by price. Ultimately, the data is converted into CSV format and sent via email to designated recipients. This process significantly enhances the efficiency of data collection, organization, and distribution, making it suitable for online bookstore operations, market research, and automated data processing needs, facilitating the quick acquisition and sharing of important information.
Workflow Name
Scrape Books from URL with Dumpling AI, Clean HTML, Save to Sheets, Email as CSV
Key Features and Highlights
This workflow automatically scrapes book information from specified URLs, utilizes Dumpling AI to clean and extract HTML content, accurately retrieves book titles and price data, sorts the data in descending order by price, converts it into a CSV file, and finally sends it via Gmail automatically. The entire process achieves full automation of data collection, cleaning, organization, and distribution, significantly enhancing the efficiency of book data management.
Core Problems Addressed
- Time-consuming and labor-intensive manual scraping and organizing of book information from web pages
- Complex web content that makes accurate data extraction difficult
- Inconsistent data formatting, hindering direct export and sharing
- The need to regularly or in real-time send data to teams or clients
This workflow seamlessly automates the entire process from web scraping to data email distribution, solving issues related to low data collection efficiency, unstable data quality, and inconvenient data sharing.
Use Cases
- Online bookstore operators who regularly aggregate pricing and book information
- Market researchers quickly obtaining competitor product data
- Automated data teams focused on content collection and organization
- Business scenarios requiring sharing of web data snapshots via email
Main Workflow Steps
- Google Sheets Trigger: Monitors newly added URLs in a Google Sheet to initiate the workflow
- Call Dumpling AI API: Sends a POST request to fetch the full HTML content of the target webpage and performs cleaning
- Extract All Book Listings: Uses CSS selectors to locate the HTML blocks of book entries
- Split HTML Array: Breaks down the book list into individual book items for separate processing
- Extract Each Book’s Information: Retrieves the book title (from the title attribute) and price text
- Sort by Price: Sorts all book information in descending order by price
- Convert to CSV File: Transforms the organized data into a CSV format file
- Send Email via Gmail: Automatically emails the generated CSV file as an attachment to specified recipients
Systems and Services Involved
- Google Sheets: Serves as the workflow trigger by monitoring newly added URLs
- Dumpling AI: Provides web content scraping and HTML cleaning services
- n8n HTML Node: Extracts and processes HTML data
- Gmail: Sends emails with attachments
- CSV File Format: Export format for easy viewing and further use
Target Users and Value
- E-commerce operators and product managers who need to regularly monitor and analyze product data
- Data analysts and market researchers automating competitive intelligence gathering
- Automation enthusiasts and technical teams aiming to improve efficiency and reduce repetitive tasks
- Any users needing quick access to structured web data for sharing
By using this workflow, users can effortlessly automate the scraping, organizing, and sharing of book data from web pages, saving substantial manual effort and improving business responsiveness and data accuracy.