Web Crawler vs Web Crawling: A Comparison of Technical Concepts

The difference between a web crawler and a crawler is like a delivery boy and a packer.

Many people confuse Web Crawler with Web Scraping, which is actually like the difference between a delivery boy and a restaurant packer. Crawler is more like a diligent courier, according to a fixed route to automatically collect transit station information, such as search engine spiders every day into the database of web page addresses. The crawler is more like a chef in the kitchen of a restaurant, specializing in accurately grabbing the required data from specific web pages, such as commodity prices or stock quotes.

For example, when you want to collect the whole network of cell phone models suitable for crawlers, but if you only want to stare at the price fluctuations of an East platform, this time to use crawling technology. These two techniques are inseparable from the proxy IP assistance, just like the delivery boy needs more than one delivery box to avoid overloading, with a different IP address can prevent the target site to us as a robot to kick out.

Proxy IP's are great for both technologies

Whether it's crawling or crawling.IP blocking is the number one natural enemyThe first thing I'd like to say is that I don't know how to do this. Last year, a friend of the price comparison platform, using their own home broadband IP to capture data, the results of the third day of the target site blacklisted. This is the time to offer up the proxy IP this magic weapon:

Here is the unique skill of ipipgo, their dynamic residential IP pool is especially suitable for long-term data monitoring. Last week, a customer was doing airfare tracking and was blocked for two hours on a regular server room IP, but after switching to ipipgo's residential IP, he was fine for 72 hours.

A three-piece set of anti-blocking tips that newbies must learn

Even if you use a proxy IP, don't wave too much, these three life-saving tips should be memorized:

 Python example: access with random intervals + proxy IPs
import requests
import random
from time import sleep

proxies = {
  'http': 'http://ipipgo-username:password@gateway.ipipgo.com:9021',
  'https': 'http://ipipgo-username:password@gateway.ipipgo.com:9021'
}

for page in range(1,101):: response = requests.get(f'{page}', f'https': '')
   response = requests.get(f'https://目标网站.com/page={page}',
                          proxies=proxies)
   sleep(random.uniform(1,5)) randomly wait 1-5 seconds

Focused attention:

1. Don't brush like that.: add randomized wait times to simulate real-life operations
2. User agents (UA) to be rotated: Don't use the same browser logo all the time
3. Pay attention to the website loading logic: Some of the content needs to execute JS to be loaded in its entirety

QA time: the pitfalls you may have encountered

Q: How long do I need to replace my proxy IP?
A: If it is ipipgo's dynamic IP package, the system will automatically switch without worrying. If you use a static IP, it is recommended that you do not use the same IP for more than 2 hours in a row.

Q: How do I break the CAPTCHA when I encounter it?
A: The reliable practice is to reduce the collection frequency, or on the coding platform. But using ipipgo's quality IP can reduce the chance of 90%'s CAPTCHA triggering.

Q: Is the data collected legal?
A: Focus on robots agreement and website terms of service, general public data no problem. But like user privacy, paid content, don't touch these.

Why do you recommend ipipgo?

After using seven or eight proxy providers, I finally locked in on ipipgo for three reasons:

• Real residential IPs, target sites when you are a normal user
• 200+ city lines nationwide, super convenient when you need geographical data.
• Exclusive IP health detection function to automatically filter failed nodes

Last month, I helped a client to do national store price monitoring, and I need to get the location data of 30 cities at the same time. With ipipgo's city orientation function, directly in the code to specify the geographical parameters to get it done, without having to toss the IP allocation.

Lastly, I would like to say that technology itself is not good or bad, but it depends on how to use it. Whether you are doing crawling or crawling, remember to leave a way for the site to live, do not make the server down. Reasonable use of proxy IP + comply with the rules, in order to be able to engage in a long stream of data.