Jiii.ng Vendor Contacts Scraping
Budget: $30 – $250 USD
I need a clean, well-structured scrape of vendor details from jiii.ng. The goal is straightforward: pull each vendor’s name and contact information and hand the results back to me in a single Excel workbook.
Categories
The focus is on the main marketplace sections. I will confirm the exact categories before you begin, but expect the usual high-traffic areas (Electronics, Real Estate, Automobiles) to be included.
Data points
• Vendor name
• All available contact details (phone, email, WhatsApp, or any other channel the site exposes)
Delivery
You’ll give me:
1. The Excel file, one sheet per category, neatly labeled and deduplicated.
2. The script or notebook you used (Python with requests / BeautifulSoup, Scrapy, or a comparable tool is fine) so I can rerun the scrape later.
Quality checklist (acceptance criteria)
• Every row contains at least a vendor name plus one working contact detail.
• No obvious duplicates.
• File opens in current Excel without conversion warnings.
If captcha handling, rate limiting, or hidden APIs are involved, flag that up front so we keep the run reliable. Once you’re comfortable with the scope, let me know how soon you can turn around an initial dataset so we can review sample output together and sign off on the full pull.
Categories
The focus is on the main marketplace sections. I will confirm the exact categories before you begin, but expect the usual high-traffic areas (Electronics, Real Estate, Automobiles) to be included.
Data points
• Vendor name
• All available contact details (phone, email, WhatsApp, or any other channel the site exposes)
Delivery
You’ll give me:
1. The Excel file, one sheet per category, neatly labeled and deduplicated.
2. The script or notebook you used (Python with requests / BeautifulSoup, Scrapy, or a comparable tool is fine) so I can rerun the scrape later.
Quality checklist (acceptance criteria)
• Every row contains at least a vendor name plus one working contact detail.
• No obvious duplicates.
• File opens in current Excel without conversion warnings.
If captcha handling, rate limiting, or hidden APIs are involved, flag that up front so we keep the run reliable. Once you’re comfortable with the scope, let me know how soon you can turn around an initial dataset so we can review sample output together and sign off on the full pull.