A number of recent new user consulting mini-authors on the use of the web log analysis tool in the web site seo toolkit are detailed in this section on how the web log analysis tool is used in the web site seo toolkit. Let's study with the editor!
How to use the website log analysis tool for the seo tool kit at love site
As a seoer, a log analysis of the website is essential, and analysis of the status codes returned by spiders allows timely detection of errors in the website or of pages that spiders cannot climb to find timely solutions. There are currently few good log analysis tools in the industry. In preparation for the analysis of the desired results, some of the seo's friends have looked directly at the website log files for analysis. Then the log file data is huge and not everyone has such an eye. A good log analysis tool that'll make you work twice as hard。
1 this tool automatically identifies is, apache, nginx log formats and supports direct drag-and-drop analysis of one or more files (plugins) to windows, each showing the data results to users in two different ways: data data and graphic display。
2. Spider analysis (summarized analysis), i. E. Data analysis of the number of visits, duration of stay, total captures of all different spiders, which can also be done separately。
Spider-analytical (summarized) charts show that (selecting also different spiders) are shown for queries。
3. Spider analysis (catalogue capture) is the analysis of the amount of data captured in the site catalogue。
A separate query analysis of a directory or spider can be performed and can be switched to a chart display, showing the capture pie map, and easy access to the profile of the spider capture directory。
4 spider-analysis (page capture)
All page spider capture analyses can also be performed separately for a page or spider. Switches to the icon display to show page grabs of pies, quick access to the most seized pages, and easy analysis of page grabs。
5. Spider analysis (ip rows)
Analyse the number of visits, captures and length of stay at all spider ip addresses and allow for individual query analysis of a particular ip or spider。
6 search engine analysis (keyword analysis) can analyse key words from search engines。
7. The status code analysis is divided into user status codes and spider status codes. By looking at the site's normal and problem-state codes, the first time a problem page on the site was discovered, timely changes were made to improve user and spider experience。
By time, the tool automatically saves log file data from different dates, and each statistical function can be analysed over time to effectively view data trends over time. (also separate spiders can be selected)。
