Shulou(Shulou.com)06/03 Report--

I. Overview

This product is distributed, fast, stable, suitable for a wide range of collection, enterprise-level products, suitable for large data collection (daily collection of tens of millions, hundreds of millions of data), high timeliness requirements of enterprises, such as public opinion company and big data analysis company, data real-time monitoring company and so on.

Second, specific description

1. Distributed

The distributed architecture is composed of a scheduling server and multiple collection nodes. the scheduling server can manage multiple nodes at the same time, such as restarting 100 collection nodes at the same time, issuing rules at the same time, and so on. You can view the operation of each node on a unified interface and provide a collection node early warning mechanism. Multiple acquisition nodes work together to effectively avoid repeated data collection by different acquisition nodes.

2. High speed

Our product is different from other crawler software on the market, this product pure background process runs, does not need to render the graphical interface but directly parses the message format, the speed is about 30minutes 100 times that of other products.

3. Stability

Can be 24-hour uninterrupted operation, stable operation, some customers have been using our products for nearly a year is still running well.

4. Wide range of collection

This product can collect data in any format and form, such as Baidu map data, Amap data, mobile phone APP data, and full data of specified websites. These capabilities can not be achieved by other acquisition software on the market.

5. A wide range of data collection formats

Can collect html, xml, json, picture files, video files, word files, pdf files, excel files and other formats can be collected.

6. Effectively break through the anti-collection mechanism.

Built-in a variety of breakthrough anti-collection methods and solutions to effectively increase the scope of collection

In short, our customers are located in the big data enterprise with large amount of data collection and high timeliness, which is a real enterprise product, which is different from the market collection software (can only do small-scale data collection, and the collection scope is limited). Our products can save more than half of the human resources of reptile engineers in the enterprise. Data acquisition looks simple, but it is very difficult to achieve large data collection and stable data collection. Now there is a shortage of reptile engineers, and most of them are inexperienced. Even if we recruit reptile engineers, we may not be able to solve all reptile problems. At present, our product market demand is very large, with the rise of big data will become larger and bigger.

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