Instagram Liquid Detergent Leads Scraper
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted3 hours ago
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 the spreadsheet is complete and clearly labelled.
Acceptance check
I’ll run a quick spot-check on 10 randomly chosen rows; if the phone numbers dial through to the correct company and the Reel URL opens, the job is done.
Please let me know the timeframe you need and whether you can also hand over the source code or documented steps so I can rerun the process later.
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 the spreadsheet is complete and clearly labelled.
Acceptance check
I’ll run a quick spot-check on 10 randomly chosen rows; if the phone numbers dial through to the correct company and the Reel URL opens, the job is done.
Please let me know the timeframe you need and whether you can also hand over the source code or documented steps so I can rerun the process later.
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