Alipay Rental Data Crawler

I’m looking for a sharp, preferably Indian, programmer who can build a reliable web crawler focused on the Alipay app’s rental-service section in China. My immediate goal is to capture every rental listing and save key details to a CSV file for further analysis.

Scope of work
• Log in to the Alipay rental marketplace (mobile or H5 endpoint—whichever proves more stable).
• Crawl each active rental listing and extract:
– Name and phone number
– Product model
– Order time
• Output all collected fields to a well-structured CSV file, ready for import into spreadsheets or analytics tools.
• Include basic throttling or proxy rotation so the crawler runs uninterrupted without triggering rate limits.
• Provide clean, readable source code (Python with Scrapy, Selenium, or another framework you prefer) plus a short README explaining setup, credentials handling, and how to run or schedule the job.

Payment model
I will place a US $500 deposit at project start. After delivery, we’ll share revenue generated from each completed crawl on a mutually agreed-upon split, so the better your crawler performs, the more you earn.

What I value
• Prior experience scraping data behind login walls, especially on Chinese platforms.
• Attention to anti-bot countermeasures and robust exception handling.
• Clear, proactive communication and the ability to iterate quickly when platform changes occur.

If this sounds like the right challenge for you, tell me briefly about a similar project you’ve tackled and your preferred tech stack. I’m ready to move forward as soon as I find the right partner.