How Instant Data Scraper Works
Automatic Data Detection:
When you open a webpage and run Instant Data Scraper, it scans the page’s HTML to find repeating data structures — like rows in a table, product listings, or search results.
It detects these patterns automatically without you needing to write any code or XPath.
Data Preview:
The extension displays a preview table showing what data it found (e.g., names, prices, URLs, descriptions).
Custom Selection (Optional):
If it doesn’t pick the correct data automatically, you can manually select the data blocks you want (by clicking “Try Another Table” or using the visual selector).
Pagination Support:
It can also follow “Next” or pagination buttons on multi-page results to scrape data across multiple pages.
Export:
Once you’re satisfied with the extracted data, you can export it directly as a CSV or Excel file for analysis or upload to another platform.
💡 Why We Need Instant Data Scraper
No Coding Required:
Traditional web scraping usually needs Python, BeautifulSoup, or APIs. Instant Data Scraper makes it simple for non-developers.
Fast Data Collection:
Instead of copying data manually from dozens of pages, you can extract hundreds or thousands of rows within minutes.
Research & Marketing:
Useful for gathering leads, product details, pricing comparisons, or market research data.
E-commerce & Dropshipping:
Sellers often use it to collect product data (titles, prices, images, etc.) from marketplaces like Amazon, eBay, or AliExpress.
Automation:
Reduces repetitive manual work — especially for data entry, competitor monitoring, or SEO keyword collection.
⚠️ Important Note
While Instant Data Scraper is powerful, you must respect website terms of service and privacy laws. Avoid scraping:
Personal or confidential data
Websites that forbid data extraction (check their robots.txt or terms)
