Instagram Liquid Detergent Leads Scraper

Python, Data Processing, Excel, Web Scraping, Software Architecture, Data Mining, Instagram API, Selenium, API Integration, Data Collection · I want a script or small workflow that visits Instagram Reels posted by official liquid-detergent brand accounts, pulls the key facts I care about, and hands them back to me in a neat spreadsheet.

What needs to be captured • Manufacturer name exactly as shown on the Reel or profile • A working contact number (this is the priority), plus any other contact details that appear such as email, WhatsApp link or website • Short product details mentioned in the Reel text or overlay (e.g. pack size, variant, USP)

Scope of sources Only Reels published by the brands’ own verified or clearly official accounts. I am not interested in influencer or generic detergent pages unless the brand itself is posting there.

Expected output A CSV or XLSX file structured like: Brand | Contact Number | Other Contacts | Product Details | Reel URL | Date Scraped

Technical pointers Use whatever stack you prefer—Python with Instaloader/Selenium, Node, or a no-code API aggregator—as long as it can reliably bypass login rate limits and fetch public Reel captions and overlays. If automated collection becomes impossible for a particular account, manual capture of the same fields is fine as long as