No-Code Web Scraping Automation Bot
Budget: $30 – $250 AUD
Project Overview:
I need a skilled freelancer to build a no‑code browser automation bot using any software or coding. The bot will:
Read a list of dates (from Google Sheets or CSV)
Loop through each date
Navigate to a specific website or search URL
Search the correct Name from the list in Sheets or CSV
Scroll if needed and find the date into a search field or URL that matches
Find and click the matching date in the search results
Extract relevant data from the resulting page using another coding or software and if possible use "Instant Data Scraper" or another software if needed.
Each column on data extracted needs to be in horizontal mode, e.g. numbers going from 1 to 8 down in sheets or csv need to be in 1 to 8 across and horizontally.
Save the results back into a spreadsheet (CSV or Google Sheets)
Responsibilities:
Read dates from a sheet or CSV
Loop through each date
Go to URL/search, insert current date
Click the link that matches the date
Scrape specific fields (e.g., price, details, etc.)
Write results back to sheet or CSV
Use selectors intelligently (dynamic variables)
Add wait steps to ensure pages load
Setup reliable extraction and debugging
I need a skilled freelancer to build a no‑code browser automation bot using any software or coding. The bot will:
Read a list of dates (from Google Sheets or CSV)
Loop through each date
Navigate to a specific website or search URL
Search the correct Name from the list in Sheets or CSV
Scroll if needed and find the date into a search field or URL that matches
Find and click the matching date in the search results
Extract relevant data from the resulting page using another coding or software and if possible use "Instant Data Scraper" or another software if needed.
Each column on data extracted needs to be in horizontal mode, e.g. numbers going from 1 to 8 down in sheets or csv need to be in 1 to 8 across and horizontally.
Save the results back into a spreadsheet (CSV or Google Sheets)
Responsibilities:
Read dates from a sheet or CSV
Loop through each date
Go to URL/search, insert current date
Click the link that matches the date
Scrape specific fields (e.g., price, details, etc.)
Write results back to sheet or CSV
Use selectors intelligently (dynamic variables)
Add wait steps to ensure pages load
Setup reliable extraction and debugging