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https://github.com/howie6879/talospider

talospider - A simple,lightweight scraping micro-framework
https://github.com/howie6879/talospider

crawler crawling python spider web-spider

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talospider - A simple,lightweight scraping micro-framework

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## talospider

![travis](https://travis-ci.org/howie6879/talospider.svg?branch=master) [![PyPI](https://img.shields.io/pypi/v/talospider.svg)](https://pypi.python.org/pypi/talospider/)

### 1.为什么写这个?

> 一些简单的页面,无需用比较大的框架来进行爬取,自己纯手写又比较麻烦,适用于单页面的爬虫编写
>
> 微爬虫框架 - 小巧、方便、练手学习

因此针对这个需求写了`talospider`:

- 1.针对单页面的item提取 - 具体介绍点[这里](./docs/item.md)
- 2.spider模块 - 具体介绍点[这里](./docs/spider.md)

**注意:此项目已经废弃,有需求请大家转用我新编写的异步框架[ruia](https://github.com/howie6879/ruia)**

### 2.介绍&&使用

![process](./docs/process.png)

#### 使用

```shell
pip install talospider
```

#### 2.1.item

这个模块是可以独立使用的,对于一些请求比较简单的网站(比如只需要`get`请求),单单只用这个模块就可以快速地编写出你想要的爬虫,比如(以下使用python3,python2见examples目录):

##### 2.1.1.单页面单目标

比如要获取这个网址http://book.qidian.com/info/1004608738 的书籍信息,封面等信息,可直接这样写:

```python
import time

from pprint import pprint
from talospider import Item, TextField, AttrField

class QidianSpider(Item):
title = TextField(css_select='.book-info>h1>em')
author = TextField(css_select='a.writer')
cover = AttrField(css_select='a#bookImg>img', attr='src')

def tal_title(self, title):
return title

def tal_cover(self, cover):
return 'http:' + cover

if __name__ == '__main__':
item_data = QidianSpider.get_item(url='http://book.qidian.com/info/1004608738')
pprint(item_data)
```

具体见[qidian_details_by_item.py](./examples/qidian_details_by_item.py)

##### 2.1.1.单页面多目标

比如获取[豆瓣250电影]([https://movie.douban.com/top250](https://movie.douban.com/top250))首页展示的25部电影,这一个页面有25个目标,可直接这样写:

```python
from pprint import pprint
from talospider import Item, TextField, AttrField

class DoubanSpider(Item):
# 定义继承自item的Item类
target_item = TextField(css_select='div.item')
title = TextField(css_select='span.title')
cover = AttrField(css_select='div.pic>a>img', attr='src')
abstract = TextField(css_select='span.inq')

def tal_title(self, title):
if isinstance(title, str):
return title
else:
return ''.join([i.text.strip().replace('\xa0', '') for i in title])

if __name__ == '__main__':
items_data = DoubanSpider.get_items(url='https://movie.douban.com/top250')
result = []
for item in items_data:
result.append({
'title': item.title,
'cover': item.cover,
'abstract': item.abstract,
})
pprint(result)
```

具体见[douban_page_by_item.py](./examples/douban_page_by_item.py)

#### 2.2.spider

当需要爬取有层次的页面时,比如爬取豆瓣250全部电影,这时候`spider`部分就派上了用场:

```python
# !/usr/bin/env python
from talospider import AttrField, Request,Spider, Item, TextField
from talospider.utils import get_random_user_agent

class DoubanItem(Item):
# 定义继承自item的Item类
target_item = TextField(css_select='div.item')
title = TextField(css_select='span.title')
cover = AttrField(css_select='div.pic>a>img', attr='src')
abstract = TextField(css_select='span.inq')

def tal_title(self, title):
if isinstance(title, str):
return title
else:
return ''.join([i.text.strip().replace('\xa0', '') for i in title])

class DoubanSpider(Spider):
# 定义起始url,必须
start_urls = ['https://movie.douban.com/top250']
# requests配置
request_config = {
'RETRIES': 3,
'DELAY': 0,
'TIMEOUT': 20
}
def parse(self, res):
# 解析函数 必须有
# 将html转化为etree
etree = self.e_html(res.html)
# 提取目标值生成新的url
pages = [i.get('href') for i in etree.cssselect('.paginator>a')]
pages.insert(0, '?start=0&filter=')
headers = {
"User-Agent": get_random_user_agent()
}
for page in pages:
url = self.start_urls[0] + page
yield Request(url, request_config=self.request_config, headers=headers, callback=self.parse_item)

def parse_item(self, res):
items_data = DoubanItem.get_items(html=res.html)
# result = []
for item in items_data:
# result.append({
# 'title': item.title,
# 'cover': item.cover,
# 'abstract': item.abstract,
# })
# 保存
with open('douban250.txt', 'a+') as f:
f.writelines(item.title + '\n')

if __name__ == '__main__':
DoubanSpider.start()
```

控制台:

```shell
2018-01-02 09:33:34 - [talospider ]: talospider started
2018-01-02 09:33:35 - [downloading]: GET: https://movie.douban.com/top250
2018-01-02 09:33:35 - [downloading]: GET: https://movie.douban.com/top250?start=0&filter=
2018-01-02 09:33:35 - [downloading]: GET: https://movie.douban.com/top250?start=25&filter=
2018-01-02 09:33:36 - [downloading]: GET: https://movie.douban.com/top250?start=50&filter=
2018-01-02 09:33:36 - [downloading]: GET: https://movie.douban.com/top250?start=75&filter=
2018-01-02 09:33:36 - [downloading]: GET: https://movie.douban.com/top250?start=100&filter=
2018-01-02 09:33:37 - [downloading]: GET: https://movie.douban.com/top250?start=125&filter=
2018-01-02 09:33:37 - [downloading]: GET: https://movie.douban.com/top250?start=150&filter=
2018-01-02 09:33:37 - [downloading]: GET: https://movie.douban.com/top250?start=175&filter=
2018-01-02 09:33:37 - [downloading]: GET: https://movie.douban.com/top250?start=200&filter=
2018-01-02 09:33:38 - [downloading]: GET: https://movie.douban.com/top250?start=225&filter=
2018-01-02 09:33:38 - [talospider ]: Time usage:0:00:03.367604
```

此时当前目录会生成`douban250.txt`,具体见[douban_page_by_spider.py](./examples/douban_page_by_spider.py)。

### 3.说明

学习之作,待完善的地方还有很多

由`talospider`编写的示例:

- [百度图片爬虫 ](https://github.com/howie6879/spider/blob/master/baidu_img/bd_img.py)
- [百度贴吧图片爬虫](https://github.com/howie6879/spider/blob/master/baidu_img/tieba_img.py)
- [起点小说信息以及榜单爬虫](https://github.com/howie6879/spider/tree/master/qidian)
- [豆瓣250](https://github.com/howie6879/spider/tree/master/douban250)