patent-stil 0.2.12
patent_stil是一个专门用于采集谷歌专利、FPO专利的集成数据采集库，patent_stil通过函数式的调用方式实现了专利数据的高效获取。
Requires Python: <4.0,>=3.7


Python patent_stil教程
-------------

前言
--

        使用 Python 的 patent_stil 采集专利数据，patent_stil 是一个专门用于采集谷歌专利、FPO 专利的集成数据采集库，patent_stil 通过函数式的调用方式实现了专利数据的高效获取。

一、patent_stil 是什么？
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        patent_stil 是基于 Python 的一种工具包，该工具是为了解决专利数据采集而构建和开发的，由科创实验室组织的成员开发和维护，目前仅发布了 0.1.1 版本，支持基础专利数据的获取操作。

二、使用步骤
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### 1. 安装库

```
pip install patent-stil -i https://pypi.org/simple

```

### 2. 使用谷歌专利接口获取专利数据

```
#导入专利采集库
import patent_stil
#获取指定专利号的所有数据
res=patent_stil.getGooglePatentInfo("CN111587459B",language="auto",proxies="clash")
 
print("专利标题:",res.title)
print("专利发明者:",res.inventors)
print("专利摘要:",res.abstract)
print("专利正文:",res.descriptions)
```

        国内谷歌网站无法访问，可以使用镜像网址，通过设置 base_url 参数即可实现，该处使用专利号、申请号获取指定专利号数据。参数 1 为专利号，参数 2 为返回的语言类型，参数 3 为代理参数。运行结果如下所示:

![][img-0]

### 2. 获取专利 json 数据

```
import patent_stil as patent_stil
 
#获取指定谷歌专利页面详情数据的json格式
res=patent_stil.getGooglePatentInfoByUrl("https://patents.google.com/patent/CN111587459B/zh?")
print(res)
```

        使用 getGooglePatentInfoByUrl() 方法传递一个谷歌专利页面的 url, 即可获取解析的 json 数据格式。

### 3. 下载专利 pdf 文件

```
import patent_stil as patent_stil
 
res=patent_stil.getGooglePatentInfo("CN111587459B",language="auto",proxies="clash")
print("专利pdf地址:",res.pdf_url)
#根据pdf_url下载对应的专利文件
patent_stil.downloadGooglePdf(res.pdf_url,save_path="./test.pdf")
```

        使用 downloadGooglePdf() 方法可以下载对应的专利 pdf 文件到指定目录。

### 3. 自动爬取专利所有数据

```
import patent_stil as patent_stil
 
#自动爬取对应的专利数据到默认data目录，并且不爬取pdf文件
patent_stil.autoGoogleSpider("CN111587459B",save_pdf=False)
```

        使用 autoGoogleSpider() 方法，通过传递指定的专利号下载专利数据到指定目录，默认是在程序运行目录创建一个 data 目录存放爬取的专利数据。运行结果如下所示:

![][img-1]

总结
--

        以上就是今天要讲的内容，本文仅仅简单介绍了 patent_stil 库的使用，后续 patent_stil 也会不断更新更多的功能。相关 BUG 请前往 gitee 进行反馈。[Issues · 科技创新实验室 / Python 专利采集库 - Gitee.com![][img-2]https://gitee.com/hbue_stil/patent_stil/issues](https://gitee.com/hbue_stil/patent_stil/issues "Issues · 科技创新实验室/Python专利采集库 - Gitee.com")

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