Manual Bookshop Data Extraction
Budget / Salary£10–20
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a careful pair of eyes to comb through the posts and photos on this Facebook page:
https://www.facebook.com/p/Jake-Smith-Photography-100066918430964/?locale=en_GB
Every time the author mentions a retailer that stocks his book—whether it is a bookshop, café, gallery, farm-shop or any other outlet—I want that business captured. There are said to be 100+ locations in total, and I’m aiming for a complete list.
Because some store names appear only in images or comments, I prefer each entry to be gathered manually rather than relying on automated scraping; that way nothing is missed and spellings stay true to the original posts.
Deliverables (Excel workbook):
• Column A – Full, exact business name
• Column B – Street address (as complete as the page reveals)
• Column C – Contact details (phone or email if available)
• Column D – Website URL or social profile link
Acceptance: the sheet should contain a unique row for every retailer mentioned on the page, no duplicates, and any blank fields clearly marked “N/A” where information is not publicly available. Once I spot-check the list against the page and everything matches, the task is done.
https://www.facebook.com/p/Jake-Smith-Photography-100066918430964/?locale=en_GB
Every time the author mentions a retailer that stocks his book—whether it is a bookshop, café, gallery, farm-shop or any other outlet—I want that business captured. There are said to be 100+ locations in total, and I’m aiming for a complete list.
Because some store names appear only in images or comments, I prefer each entry to be gathered manually rather than relying on automated scraping; that way nothing is missed and spellings stay true to the original posts.
Deliverables (Excel workbook):
• Column A – Full, exact business name
• Column B – Street address (as complete as the page reveals)
• Column C – Contact details (phone or email if available)
• Column D – Website URL or social profile link
Acceptance: the sheet should contain a unique row for every retailer mentioned on the page, no duplicates, and any blank fields clearly marked “N/A” where information is not publicly available. Once I spot-check the list against the page and everything matches, the task is done.
Apply on Freelancer →
Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.