Movie data analysis tools: movie data collection and analysis

Why do you always get pulled from websites when you're analyzing movie data?

Recently, a friend who does film and television distribution complained to me, saying that he used Python scripts to grab Douban movie data, and as a result, the IP was blocked just two days after running. This situation is actually particularly common, and now all major platforms are loaded withIntelligent Risk Control SystemIf you visit the same IP frequently, you will be alerted immediately. Just like when you go to the supermarket to try food, if you eat 20 times in a row and still do not buy, the security guards will definitely be on you.

That's when you have to use a proxy IP for cover. It's like changing into different clothes every time you go to the grocery store to make the surveillance think it's a different person. Ouripipgo dynamic proxy serviceThat's what it does, automatically switching the IP address of a different region with each request to make the site feel like it's being viewed by normal users.

import requests
from itertools import cycle

 API interface for ipipgo (example)
proxy_list = [
    "http://user:pass@gateway.ipipgo.com:8001",
    "http://user:pass@gateway.ipipgo.com:8002"
]
proxy_pool = cycle(proxy_list)

url = "https://movie.douban.com/top250"

for page in range(1, 11): proxy = next(proxy_pool)
    proxy = next(proxy_pool)
    try: response = requests.get()
        response = requests.get(
            url,
            params={"start": (page-1)25},
            proxies={"http": proxy},
            timeout=5
        )
        print(f "Successfully grabbed page {page}")
    except Exception as e.
        print(f "Failed to access with {proxy}, automatically switching to the next one")

How many of the three major potholes in choosing a proxy IP have you stepped on?

There are all kinds of agency services on the market, but those who have used them know these pain points:

Especially when doing movie rating analysis, it is often necessary to capture data from multiple platforms, including Douban, Cat's Eye and Ticketmaster, at the same time. If you use an ordinary proxy, you may just cut to the third website IP is blocked. This is the time to useHybrid proxy model for ipipgoThe IP type of the target site can be automatically selected according to the most appropriate IP type.

Practice: three days to get a competitor analysis report

Say a real case, a film and television company to do the Spring Festival file competitor analysis, we used such a process:

1. With ipipgoCity-level positioning IPCapture ticket purchase data from different regions
2. Simulate real users through dynamic IP to get the hotness of Shakeology movie topics
3. Use of residential agents to collect data from overseas movie review websites (note that this is not involved)

The key tips areRequest for rhythmic control: Don't send dozens of requests per second like a hungry wolf, browse like a real person at random intervals of 1-3 seconds. With ipipgo's intelligent rotation strategy, it was collected in three days:
- 100,000+ user reviews
- Real-time box office on 5 platforms
- Cinema scheduling data for 8 cities

White Frequently Asked Questions QA

Q: Does proxy IP speed affect the collection efficiency?
A: It depends on the specific situation. ipipgo's high-speed channel node measured download speed can reach 3MB/s, faster than home broadband. But if you choose a free proxy, you may get stuck in PPT.

Q: How can I prevent being recognized by the website?
A: Remember three points: ① each request for a different city IP ② randomization of the request interval ③ with the User-Agent rotation. ipipgo backend has a ready-madeAnti-Correlation Policy TemplateIt can be applied directly.

Q: Is the data collected legal?
A: As long as you don't touch users' private information and don't bypass paid content, it's compliant to simply collect publicly available movie information and rating data. It is recommended to add a robots.txt checker in the code, like this:

from urllib.robotparser import RobotFileParser

def check_robots(url):
    rp = RobotFileParser()
    rp.set_url(url + "/robots.txt")
    rp.read()
    return rp.can_fetch("", url)

It's time to upgrade your data arsenal.

In the end, the proxy IP is a tool, the key depends on how to use. Now do movie data analysis, without some technical means really can not play. Let's not talk about other things, justReal-time box office monitoringThis is a demand that is simply impossible to update every minute by hand.

Recently found out that ipipgo has a new feature that's pretty interesting -Scenario-based IP packagesFor example, the system will automatically optimize the parameters of IP type and switching frequency. For example, if you choose the "film and television data collection" mode, the system will automatically optimize the IP type, switching frequency and other parameters. It's just like choosing a professional suit for playing a game, which is much more convenient than matching by yourself.

As a final reminder, the most important thing to avoid when doing data collection is to be greedy. First think clearly about the goal of analysis, and then targeted collection of data. Just like making a movie can not be stuffed with any subject matter, find the right direction in order to produce a good work is not it?