When scraping data, sometimes you need to use a proxy to get the data of the target website. For users who need to scrape data from Linkedin, using a proxy is a good choice.
Linkedin is a popular social networking site with a large amount of user information and company data. By crawling data on Linkedin, users can conduct market research, talent recruitment, business development, etc. However, Linkedin has certain restrictions on data crawling. In order to avoid being unable to access public data, you need to use a proxy to crawl.
1. What is an agent?
Proxy is a network technology that allows users to protect their real IP address when accessing the Internet, and can modify the content of user requests and responses. The proxy server acts as a middleman between the client and the target server, sending requests to the target server and receiving responses through the proxy server.
2. Why use an agent?
1. Protect the real IP address: Using a proxy can protect the user's real IP address and protect the user's privacy.
2. Improve access speed: Some proxy servers are located near the target server and can speed up access.
3. Allow access to public data Network restrictions: Some networks restrict or block certain websites. Using a proxy can allow access to public data and these restrictions.
4. Avoid being unable to access public data: Some websites will block IP addresses that frequently access or crawl data. Using a proxy can avoid being unable to access public data.
3. How to use a proxy to scrape data from Linkedin?
1. Choose a suitable proxy: Choose a proxy server that is stable, fast, and has good privacy protection.
2. Configure the proxy: When using programming languages such as Python to crawl data, you need to configure the proxy in the program. Taking Python as an example, add the following code to the program:
import requests
proxies = {
'http': 'http://proxy_ip:proxy_port',
'https': 'https://proxy_ip:proxy_port',
}
response = requests.get('https://www.linkedin.com', proxies=proxies)
Where proxy_ip and proxy_port are the IP address and port number of the proxy server respectively.
3. Set the request header: To avoid being unable to access public data, you need to set a proper request header. Taking Python as an example, add the following code to the program:
import requests
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36',
}
response = requests.get('https://www.linkedin.com', headers=headers)
Among them, User-Agent is a field in the request header, which is used to tell the target server the browser type and version number of the client.
4. How to avoid being blocked from accessing public data by LinkedIn?
1. Do not access or crawl data frequently.
2. Use multiple proxies to access in turn.
3. Randomly set the User-Agent field in the request header.
4. Comply with Linkedin's Terms of Use and Privacy Policy.
In short, using a proxy can help users scrape data from Linkedin and avoid being unable to access public data. However, you need to pay attention to privacy protection and comply with relevant regulations when using a proxy.
This article comes from online submissions and does not represent the analysis of kookeey. If you have any questions, please contact us
