centos中安装python3和scrapy爬虫

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原创最新推荐文章于 2026-10-05 15:40:32 发布 2.3k 阅读 AI 写同款· GEO 优化 ›

Centos7 安装Python3和scrapy（正确安装姿势）苦逼的前夜昨晚很辛苦，搞到晚上快两点，最后还是没有把python3下的scrapy框架安装起来，后面还把yum这玩意给弄坏了，一直找不到命令。今天早上又自己弄了快一上午，又求助@函兮，弄了快一个中午，最后无奈还是没有弄好yum跟python这玩意，最后还是放弃治疗了。真的是什么招，什么损招都用完了，最后也没折了，直接报告老大去，然后把阿里云的centos7实例重新磁盘回滚了一下。正确的... 阅读详情

虚拟机环境是centos6.5，系统自带python2.6。

我先要安装个python3.5，然后再安装scrapy。

先更新下系统

yum update -y

安装依赖包

yum groupinstall 'Development Tools'
yum install gcc gcc-devel -y
yum install libxml2 libxml2-devel -y
yum install libxslt libxslt-devel -y
yum install openssl openssl-devel -y
yum install libffi libffi-devel -y
yum install sqlite sqlite-devel -y

安装python3.5

下载地址：https://www.python.org/ftp/python/3.5.2/Python-3.5.2.tgz

tar zxvf Python-3.5.2.tgz
cd Python-3.5.2
./configure --prefix=/usr/local/python3.5.2
make && make install

重新设置python命令链接

cd /usr/bin
mv python python2_old
ln -s /usr/local/python3.5.2/bin/python3 python
ln -s /usr/local/python3.5.2/bin/python3 python3
ln -s /usr/local/python3.5.2/bin/pip3 pip
ln -s /usr/local/python3.5.2/bin/easy_install-3.5  easy_install

检验python是否安装成功

python

Python 3.5.2 (default, Jul 22 2016, 16:45:39) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-17)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>

修复yum的python版本

vi /usr/bin/yum

安装Twisted

wget https://pypi.python.org/packages/c0/7c/c1e5b61e30b7ffc96576d2a922615c8068e6996a622be813fc626cef07aa/Twisted-16.3.0.tar.bz2#md5=e044af844623e9fbcbe29f578db6053a
tar jxvf Twisted-16.3.0.tar.bz2
cd Twisted-16.3.0
python setup.py install

安装scrapy爬虫

pip install lxml
pip install scrapy

检验scrapy是否安装成功

ln -s /usr/local/python3.5.2/bin/scrapy   /usr/bin/scrapy
scrapy -v

Scrapy 1.1.1 - project: demo1

Usage:
  scrapy <command> [options] [args]

Available commands:
  bench         Run quick benchmark test
  check         Check spider contracts
  commands      
  crawl         Run a spider
  edit          Edit spider
  fetch         Fetch a URL using the Scrapy downloader
  genspider     Generate new spider using pre-defined templates
  list          List available spiders
  parse         Parse URL (using its spider) and print the results
  runspider     Run a self-contained spider (without creating a project)
  settings      Get settings values
  shell         Interactive scraping console
  startproject  Create new project
  version       Print Scrapy version
  view          Open URL in browser, as seen by Scrapy

Use "scrapy <command> -h" to see more info about a command

参考：https://blog.youkuaiyun.com/python36/article/details/79712754

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