Collect public reviews, American group and other data for big data mining

When you have a beautiful reptile after you can do a lot of interesting things, such as crawling to a lot of food and beverage data can do food and beverage area activity analysis, these analysis indicators are very meaningful, especially for the people who are ready to open the shop.
The first thing to do is to collect data from popular reviews, American groups, or other websites, from the food product portal, and then find the food and beverage company Information, then find the address, area, etc. Collect time to do a good anti-heavy strategy, this can save a lot of time, there is not too large, so as not to affect the normal business. Writes the collected data to the database for later use.
With this data can be on the distribution of food and beverage companies to do statistical analysis, it is easy to figure out the regional distribution of a city catering company, of course, you can find a good looking data display chart to show.
Only to do this is too simple, if you get food distribution changes, crawler another skill, incremental acquisition, this needs to be done in the background of time to do the incremental collection of data, so-called changes in the timeline during the movement of the y-axis changes, with the increment of data, this is also very easy.
Another concern is which catering companies are more active, the business is better, and what sort of business is better, from another point of view is that the people in this area prefer the type of food, and even different seasons, changes in food preferences and so on.
There are a lot of things to do and a little meaning here.

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Collect public reviews, American group and other data for big data mining