Web crawler search engine: proxy crawler engine development program

I. What are the pain points of proxy crawler engines?

Brothers who have engaged in crawling understand that the biggest headache is that the IP is blocked. Let's say last week I helped a friend to grab the e-commerce data, just run for two days to receive 403 warnings, which is more accurate than the alarm clock. The traditional method of using free proxy it, slow as a snail not to mention, but also not moving on the line. At this time we have to offer a professional agent services, but the products on the market are uneven, not a good choice, but delayed.

Second, do you raise your own fish or rent a pond?

Developing a crawler engine is likefish farmingYou have to consider whether to build your own fishpond (local proxy pool) or rent an off-the-shelf one. Maintaining your own proxy pool is too much to worry about:
1. Water must be changed daily (IP change)
2. Regular feeding (maintenance of validation mechanisms)
3. Prevention of fish diseases (avoiding IP blocking)
At this point it's better to just look for a professional fish farm, such as using ipipgo's ready-made proxy pool, with their global resources of carriers in 200+ countries, which saves you a lot of heartache compared to tossing it yourself.

 The simplest proxy configuration example
import requests

proxies = {
    'http': 'http://username:password@gateway.ipipgo.com:9020',
    'https': 'http://username:password@gateway.ipipgo.com:9020'
}

response = requests.get('Target site', proxies=proxies)

Third, the actual configuration of the three axes

Here are three hard tips for brothers:

1. Rotation strategy to be flexible

Don't be silly with sequential rotation, it is recommended to dynamically adjust to business scenarios. For example, e-commerce sites use1:50The IP-request ratio for social media categories can be relaxed to1:30

2. Don't step on timeout settings

3. Validation mechanisms must do

It is recommended to do a survival test every 20 minutes to save time with this script:

def check_proxy(proxy).
    try.
        test_url = "http://www.httpbin.org/ip"
        resp = requests.get(test_url, proxies=proxy, timeout=8)
        return True if resp.json() else False
    return False if resp.json() else False
        return False

Fourth, the package selection has a doorway

The focus here is on ipipgo's package options:

Dynamic residential (standard): A small project for those just starting out, $7.67/GB is a great price, and 5,000 requests per day is enough!
Dynamic Residential (Business): Add request priority to grab data faster!
Static homes: A must for long-term monitoring, 35 dollars/IP can be used for a month, cheaper than milk tea!

V. Frequently Asked Questions QA

Q: What if the proxy IP is still blocked?
A: It is recommended to use a mix of dynamic + static IPs to spread sensitive requests to different IP types

Q: Overseas website crawling always timeout?
A: Try their cross-border line, take the carrier direct channel, the speed can be increased by 3-5 times!

Q: How to control the frequency of API calls?
A: Token bucket algorithms are recommended, along with their real-time usage monitoring to avoid overcharging

VI. Guidelines for avoiding pitfalls

One final note for newbies:
1. Don't buy an informal agent for cheap, beware of data leakage.
2. Don't be tough when it comes to CAPTCHA, don't hesitate to use a coding platform.
3. Log records should be good, the problem can be quickly located
4. Important data remember to do local caching to prevent repeated requests

Use a good proxy service is like driving a seatbelt, the critical moment can save life. Need specific program configuration brother, you can directly find ipipgo technical support, they 1v1 customization is really professional, last time to help me optimize the collection efficiency directly doubled.