Web Data Extraction
Budget: $30 – $250 AUD
I need the contents of a multi-page website—well beyond the 50-page mark—captured and organised in a single, clean Excel workbook. The pages hold mixed data: product names, descriptive text, prices, IDs, and other numeric fields. Every record must line up neatly in consistent columns so I can filter, sort, and pivot without manual rework.
You may gather the information with a scripting solution such as Python, BeautifulSoup, Scrapy, Selenium, or any other tool stack you are comfortable with, as long as the final output arrives as a fully formatted .xlsx file.
Acceptance criteria
• All requested fields present for every page crawled
• No duplicate rows; no broken characters or HTML artifacts
• Workbook opens error-free in the current version of Excel
• A short README explaining the script or method used, plus any prerequisites needed to rerun it
Turnaround is flexible for quality, but please outline a realistic schedule in your proposal along with a quick note on the technology you plan to use.
You may gather the information with a scripting solution such as Python, BeautifulSoup, Scrapy, Selenium, or any other tool stack you are comfortable with, as long as the final output arrives as a fully formatted .xlsx file.
Acceptance criteria
• All requested fields present for every page crawled
• No duplicate rows; no broken characters or HTML artifacts
• Workbook opens error-free in the current version of Excel
• A short README explaining the script or method used, plus any prerequisites needed to rerun it
Turnaround is flexible for quality, but please outline a realistic schedule in your proposal along with a quick note on the technology you plan to use.
Related categories:
JavaScript
Python
Data Processing
Excel
Web Scraping
Data Mining
Scrapy
Data Extraction
BeautifulSoup
Selenium