Python：Spider爬虫工程化入门到进阶（1）创建Scrapy爬虫项目

彭世瑜2023-08-05 23:50

Python：Spider爬虫工程化入门到进阶系列:

本文通过简单的小例子，亲自动手创建一个Spider爬虫工程化的Scrapy项目

本文默认读着已经掌握基本的Python编程知识

目录

1、环境准备

确保已经安装Python3

bash 复制代码 
$ python3 --version
Python 3.10.6

1.1、创建虚拟环境

创建一个虚拟环境，可以很好的和其他项目的依赖进行隔离，避免相互冲突

bash 复制代码 
# 创建项目目录
$ mkdir scrapy-project

# 进入项目目录
$ cd scrapy-project

# 创建名为：venv 的python3虚拟环境
$ python3 -m venv venv

# 目录下会创建一个名为：venv 的目录
$ ls
venv

# 激活虚拟环境，激活后命令行前面会出现虚拟环境标记(venv)
$ source venv/bin/activate
(venv)$

1.2、安装Scrapy

Scrapy也是一个Python库，通过pip 可以很容易的安装Scrapy

bash 复制代码 
$ pip install Scrapy

# 查看scrapy版本
$ scrapy version
Scrapy 2.9.0

1.3、创建爬虫项目

在当前目录下，创建名为：web_spiders 的爬虫项目

注意命令行中最后一个.不能少

bash 复制代码 
# 命令格式：scrapy startproject <project_name> [project_dir]

# 注意：项目名称只能是数字、字母、下划线
$ scrapy startproject web_spiders .

项目结构

bash 复制代码 
$ tree -I venv
.
├── scrapy.cfg
└── web_spiders
    ├── __init__.py
    ├── items.py
    ├── middlewares.py
    ├── pipelines.py
    ├── settings.py
    └── spiders
        └── __init__.py

我们暂时不用管这写目录都是做什么的，后面根据需求会逐步使用到

2、爬虫示例-爬取壁纸

程序目的：爬取壁纸数据

目标网站：https://mouday.github.io/wallpaper/

2.1、分析目标网站

通过分析，不难找到数据接口

https://mouday.github.io/wallpaper-database/2023/08/03.json

返回的数据结构如下：

json 复制代码 
{
    "date":"2023-08-03",
    "headline":"绿松石般的泉水",
    "title":"泽伦西自然保护区，斯洛文尼亚",
    "description":"泽伦西温泉位于意大利、奥地利和斯洛文尼亚三国的交界处，多个泉眼汇集形成了这个清澈的海蓝色湖泊。在这里，游客们可以尽情欣赏大自然色彩瑰丽的调色盘。",
    "image_url":"https://cn.bing.com/th?id=OHR.ZelenciSprings_ZH-CN8022746409_1920x1080.webp",
    "main_text":"泽伦西自然保护区毗邻意大利和奥地利边境，距离斯洛文尼亚的克拉尼斯卡戈拉不到5公里。"
}

2.2、生成爬虫文件

Scrapy同样提供了命令行工具，可以快速的生成爬虫文件

bash 复制代码 
# 生成爬虫文件命令：scrapy genspider <spider_name> <domain>
scrapy genspider wallpaper mouday.github.io

此时，目录下生成了一个爬虫文件wallpaper.py

bash 复制代码 
$ tree -I venv
.
├── scrapy.cfg
└── web_spiders
    ├── __init__.py
    ├── items.py
    ├── middlewares.py
    ├── pipelines.py
    ├── settings.py
    └── spiders
        ├── __init__.py
        └── wallpaper.py             # 可以看到我们新建的爬虫文件

生成 wallpaper.py 的内容

python 复制代码 
import scrapy


class WallpaperSpider(scrapy.Spider):
    name = "wallpaper"
    allowed_domains = ["mouday.github.io"]
    start_urls = ["https://mouday.github.io"]

    def parse(self, response):
        pass

2.3、编写爬虫代码

将爬虫文件wallpaper.py 修改如下，编写我们的业务代码

python 复制代码 
import scrapy
from scrapy.http import Response


class WallpaperSpider(scrapy.Spider):
    # 爬虫名称
    name = "wallpaper"

	# 爬取目标的域名
    allowed_domains = ["mouday.github.io"]

    # 替换爬虫开始爬取的地址为我们需要的地址
    # start_urls = ["https://mouday.github.io"]
    start_urls = ["https://mouday.github.io/wallpaper-database/2023/08/03.json"]

    # 将类型标注加上，便于我们在IDE中快速编写代码
    # def parse(self, response):
    def parse(self, response: Response, **kwargs):
        # 我们什么也不做，仅打印爬取的文本
        print(response.text)

2.4、运行爬虫代码

bash 复制代码 
# 运行爬虫命令：scrapy crawl <spider_name>
$ scrapy crawl wallpaper

2023-08-03 22:57:34 [scrapy.utils.log] INFO: Scrapy 2.9.0 started (bot: web_spiders)
2023-08-03 22:57:34 [scrapy.utils.log] INFO: Versions: lxml 4.9.3.0, libxml2 2.9.4, cssselect 1.2.0, parsel 1.8.1, w3lib 2.1.2, Twisted 22.10.0, Python 3.10.6 (main, Aug 13 2022, 09:17:23) [Clang 10.0.1 (clang-1001.0.46.4)], pyOpenSSL 23.2.0 (OpenSSL 3.1.2 1 Aug 2023), cryptography 41.0.3, Platform macOS-10.14.4-x86_64-i386-64bit
2023-08-03 22:57:34 [scrapy.crawler] INFO: Overridden settings:
{'BOT_NAME': 'web_spiders',
 'FEED_EXPORT_ENCODING': 'utf-8',
 'NEWSPIDER_MODULE': 'web_spiders.spiders',
 'REQUEST_FINGERPRINTER_IMPLEMENTATION': '2.7',
 'ROBOTSTXT_OBEY': True,
 'SPIDER_MODULES': ['web_spiders.spiders'],
 'TWISTED_REACTOR': 'twisted.internet.asyncioreactor.AsyncioSelectorReactor'}
2023-08-03 22:57:34 [asyncio] DEBUG: Using selector: KqueueSelector
2023-08-03 22:57:34 [scrapy.utils.log] DEBUG: Using reactor: twisted.internet.asyncioreactor.AsyncioSelectorReactor
2023-08-03 22:57:34 [scrapy.utils.log] DEBUG: Using asyncio event loop: asyncio.unix_events._UnixSelectorEventLoop
2023-08-03 22:57:34 [scrapy.extensions.telnet] INFO: Telnet Password: 5083c2db86c14a1f
2023-08-03 22:57:34 [scrapy.middleware] INFO: Enabled extensions:
['scrapy.extensions.corestats.CoreStats',
 'scrapy.extensions.telnet.TelnetConsole',
 'scrapy.extensions.memusage.MemoryUsage',
 'scrapy.extensions.logstats.LogStats']
2023-08-03 22:57:34 [scrapy.middleware] INFO: Enabled downloader middlewares:
['scrapy.downloadermiddlewares.robotstxt.RobotsTxtMiddleware',
 'scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',
 'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',
 'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',
 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',
 'scrapy.downloadermiddlewares.retry.RetryMiddleware',
 'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware',
 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware',
 'scrapy.downloadermiddlewares.redirect.RedirectMiddleware',
 'scrapy.downloadermiddlewares.cookies.CookiesMiddleware',
 'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware',
 'scrapy.downloadermiddlewares.stats.DownloaderStats']
2023-08-03 22:57:34 [scrapy.middleware] INFO: Enabled spider middlewares:
['scrapy.spidermiddlewares.httperror.HttpErrorMiddleware',
 'scrapy.spidermiddlewares.offsite.OffsiteMiddleware',
 'scrapy.spidermiddlewares.referer.RefererMiddleware',
 'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware',
 'scrapy.spidermiddlewares.depth.DepthMiddleware']
2023-08-03 22:57:34 [scrapy.middleware] INFO: Enabled item pipelines:
[]
2023-08-03 22:57:34 [scrapy.core.engine] INFO: Spider opened
2023-08-03 22:57:34 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2023-08-03 22:57:34 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6023
2023-08-03 22:57:36 [scrapy.core.engine] DEBUG: Crawled (404) <GET https://mouday.github.io/robots.txt> (referer: None)
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 5 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 10 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 11 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 14 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 17 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 19 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 20 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 22 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 23 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 25 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 26 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 28 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 29 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 30 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 31 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 32 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 33 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 34 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 35 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 39 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 44 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 45 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 46 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 66 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 71 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 76 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 77 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 81 without any user agent to enforce it on.
2023-08-03 22:57:36 [protego] DEBUG: Rule at line 85 without any user agent to enforce it on.
2023-08-03 22:57:36 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://mouday.github.io/wallpaper-database/2023/08/03.json> (referer: None)
{
  "date": "2023-08-03",
  "headline": "绿松石般的泉水",
  "title": "泽伦西自然保护区，斯洛文尼亚",
  "description": "泽伦西温泉位于意大利、奥地利和斯洛文尼亚三国的交界处，多个泉眼汇集形成了这个清澈的海蓝色湖泊。在这里，游客们可以尽情欣赏大自然色彩瑰丽的调色盘。",
  "image_url": "https://cn.bing.com/th?id=OHR.ZelenciSprings_ZH-CN8022746409_1920x1080.webp",
  "main_text": "泽伦西自然保护区毗邻意大利和奥地利边境，距离斯洛文尼亚的克拉尼斯卡戈拉不到5公里。"
}
2023-08-03 22:57:36 [scrapy.core.engine] INFO: Closing spider (finished)
2023-08-03 22:57:36 [scrapy.statscollectors] INFO: Dumping Scrapy stats:
{'downloader/request_bytes': 476,
 'downloader/request_count': 2,
 'downloader/request_method_count/GET': 2,
 'downloader/response_bytes': 7201,
 'downloader/response_count': 2,
 'downloader/response_status_count/200': 1,
 'downloader/response_status_count/404': 1,
 'elapsed_time_seconds': 2.092338,
 'finish_reason': 'finished',
 'finish_time': datetime.datetime(2023, 8, 3, 14, 57, 36, 733301),
 'httpcompression/response_bytes': 9972,
 'httpcompression/response_count': 2,
 'log_count/DEBUG': 34,
 'log_count/INFO': 10,
 'memusage/max': 61906944,
 'memusage/startup': 61906944,
 'response_received_count': 2,
 'robotstxt/request_count': 1,
 'robotstxt/response_count': 1,
 'robotstxt/response_status_count/404': 1,
 'scheduler/dequeued': 1,
 'scheduler/dequeued/memory': 1,
 'scheduler/enqueued': 1,
 'scheduler/enqueued/memory': 1,
 'start_time': datetime.datetime(2023, 8, 3, 14, 57, 34, 640963)}
2023-08-03 22:57:36 [scrapy.core.engine] INFO: Spider closed (finished)

运行爬虫后，输出了很多日志，我们可以先不管，可以看到我们需要的数据已经爬取到了

json 复制代码 
{
  "date": "2023-08-03",
  "headline": "绿松石般的泉水",
  "title": "泽伦西自然保护区，斯洛文尼亚",
  "description": "泽伦西温泉位于意大利、奥地利和斯洛文尼亚三国的交界处，多个泉眼汇集形成了这个清澈的海蓝色湖泊。在这里，游客们可以尽情欣赏大自然色彩瑰丽的调色盘。",
  "image_url": "https://cn.bing.com/th?id=OHR.ZelenciSprings_ZH-CN8022746409_1920x1080.webp",
  "main_text": "泽伦西自然保护区毗邻意大利和奥地利边境，距离斯洛文尼亚的克拉尼斯卡戈拉不到5公里。"
}

3、总结

我们通过以上学习，仅编写了2行代码，就完成了爬取数据的工作。

同时，也了解到了好几个命令，通过Scrapy 提供的命令行工具，可以进行如下操作：

  • 创建爬虫项目：scrapy startproject web_spiders .
  • 生成爬虫文件：scrapy genspider wallpaper mouday.github.io
  • 运行爬虫代码：scrapy crawl wallpaper

4、参考文章

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