
Why is it necessary to use an Indian agent for Flipkart collection?
Those who do cross-border e-commerce know that the price and inventory of goods on Flipkart change all the time. Trying to monitor this data in real time and grabbing it directly with the regular web will encounter two fatal problems:One is that the IP is flagged as a crawler and blocked outright, and two, the price information you get may not be the same as what is displayed locally in India. For example, if you visit Flipkart with a Chinese IP, the shipping rules you see may be completely different from those of Indian users, at which point the collected data loses its reference value.
Three major potholes in picking Indian proxy IPs
There are all sorts of proxy IP services in the market, but for the specific needs of Flipkart acquisition, 90%'s service providers have stepped on these minefields:
1. Data center IP floodingMany proxy IPs are actually batch-generated by server rooms, and such IPs have long been blacklisted by Flipkart!
2. Lack of IP purityResidential Proxy Mixed with Enterprise IP, Triggering Anti-Crawl Mechanisms in Minutes
3. Geographical driftThe data collected is still not accurate.
ipipgo's breakthrough program
We've got a local Indian operation going--Work with telecom operators on home broadband recycling. Simply put, it collects idle bandwidth from real households in key cities like Mumbai and Delhi, and then allocates it to harvested users through dynamic routing techniques. There are two benefits of doing this:
| General Agent | ipipgo program | |
| IP Type | Server room batch generation | Real Home Broadband |
| life cycle | 2-3 hours | 12-72 hours |
| geographic location | random allocation | Precise to the municipal level |
Actual test to catch Flipkart with our proxy.Request success rate shot straight up from 37% to 89%We also have a steady flow of local promotional information and inventory status in India.
Configuration tutorials that even a novice can handle
Don't be intimidated by the technical jargon, it's really just three steps:
1. In the ipipgo back office selectIndia - e-commerce optimizationPackages (this thread has been parameterized specifically for Flipkart)
2. Copy the API interface into your crawler code (see documentation for specific fields)
3. Settings5-minute automatic IP switchingThis way you don't get dropped too often and you don't get caught in the back-crawl.
Key note: Never turn on a global proxy! It is recommended to useSwitch IP on requestmode, so that each product page is accessed with a new IP, which is much safer than the polling mode.
Frequently Asked Questions QA
Q: Do I have to maintain my own IP pool?
A: Not necessary with ipipgo! We automatically weed out blocked IPs and update our IP library with 20% or more every day!
Q: Will the acquisition speed slow down?
A: The measured delay is around 180ms, which is 3 times faster than some multinational transit agents. Don't turn on the CAPTCHA recognition function, that's the culprit of slowing down the speed!
Q: Is it suitable for mass collection?
A: We have a customer running 500 threads at the same time, mining 7 million pieces of data a day, with theRequest interval randomizationSetup, has been stable for 11 months
Why is this a long-term meal ticket?
Flipkart has recently updated its anti-crawl algorithm that will detect IP'sTCP fingerprintrespond in singingTime zone informationThe solution to this problem is to use a real IP address for the proxy. Ordinary proxies, even if they use real IPs, will still be exposed if the two parameters don't match. ipipgo's program isNative device + native environment imageThe simple fact is that the proxy server is disguised as a real cell phone/computer, and this part of the technical details belongs to the trade secrets, which have not been cracked by the peers for the time being.
Those who engage in data collection understand that a stable proxy IP is a money tree. Instead of tossing blocked IPs every day, why not use our program to directly solve the underlying problem? Now new users send3-Day 1G Traffic Trial, enough to pick 50,000 items of data with zero trial and error costs.

