product catalog: 1. Food rot banlist posts 2. QQ food rot intercepted posts 3. Banlist post statistics 4. Java food rot intercept page statistics 5. Python banlist posts 6. banlistQQ Post 7.java rotten banlist page text 8.java write Internet rotten 1. rotten banlist posts Posts are an indispensable SNS network platform in their real life, but many times they want to obtain such important information But it is even more difficult. At this time, Java scavenging can be done. The responsible editor will gradually analyze how to use Java scavenging to obtain important information of posts from the following 9 aspects. 1. Introduce the internal structure of the post page. 2. QQ rotten interception After using Java rot to obtain the important information of the post, they need to introduce the internal structure of the post page. Through the application process developer assistance tool, it can be found that the post page contains many important information. Information, among which they mainly need user portrait, user name, official release time, official release text and photos, etc. 2. To obtain important cookie information 3. Banlist post statistics After expanding the banlist, they need to log in first Use your own QQ account to obtain important cookie information, in order to demonstrate the login operation form in advance to obtain important cookie information, which can be expanded through Tourbe auxiliary tools such as Fiddler. 3. Demonstration login After obtaining important cookie information, they can use the demo login operation form to obtain access rights. 4. Java scraping and intercepting page statistics. It is recommended to use Jsoup and other network authorization process libraries to demonstrate authorization. 4. Export HTML pages. HTML export library such as Jsoup assists them in statistical data extraction 5. Statistical data storage. 5. After the python banlist post obtains the required statistical data, they need to expand and store it. Here, you can choose an intimate relational statistical database such as MySQL or a non-intimate statistical database such as MongoDB for storage. 6. Prevent anti-reverse Anti-corruption Many Chinese websites have added an anti-corruption supervision mechanism to prevent the anti-corruption process. 6.banlistQQ post 7.Renderscript may not be as efficient as multi-processor mammalian when deploying small-scale statistical data banlist. Therefore, they can use multi-processor mammalian to improve the efficiency of statistical data banlist. 8. Intermittent If the various tasks need to obtain the important information of the post from time to time, then they need to choose intermittent tasks to continue to execute the banlist operation form from time to time. Common intermittent task structures in Java include Quartz, Spring Task, etc. 7. Java rotten banlist page text 9. Statistical data visualization Finally, they can use Echarts, Highcharts and other chart process libraries to visualize the obtained statistical data, and analyze and mine the statistical data through the above 9 aspects Analysis, I believe we have already had a more in-depth introduction on how to use Java scavenging to obtain important information of posts. 8. Java writes Internet scavenging Of course, in the actual operation mode, we still need to pay attention to some details, such as the control of the frequency of promises, the deduplication of statistical data, etc. I hope the responsible editor can help us, let us get the post as we like!