I need help pulling both text and image data from a set of websites I will share after kickoff. The job is straightforward: scrape the fields I specify (product titles, descriptions, prices, and the related images), organise the text in a clean spreadsheet or CSV, and save / link the images so they line up perfectly with each row of data. I care most about accuracy, consistency, and a repeatable process. Please tell me about similar scraping projects you have handled so I can gauge your experience with tools like Python-BeautifulSoup, Scrapy, Selenium, or any cloud‐based extractors you prefer. If you have a faster or more robust workflow in mind, feel free to outline it—I’m open as long as the final data is reliable. Deliverables • A single CSV or Excel file containing every required text field • A folder (or direct URLs) with the matching images, named or indexed to pair with the spreadsheet • A brief note on the scraping method or script used so I can run or update it later if needed Once we agree on the scope, I’ll send the site list and field map. Looking forward to working with someone who can turn this around efficiently and keep data quality top-notch.