scrapyd

scrapy自身工程的部署参考 第1.8章 scrapy之完整工程部署 这里要将的的通过jenkins来部署scrapyd，我有10台机器，如果一台台手工敲，费时费力。 jenkins安装参考 第1.1章 自动化测试之jenkins安装 ，这里不赘述 1 安装jenkins插件 按照上图中核心的那几个插件，检查是否有遗漏 2 配置credentials 这个是访问远程ssh的账号， 只需要输入username和password即可 3 配置系统设置 3.1 主目录 jenkins的主目录，生成的文件都这个工作空间中。 3.2 Mask Passwords 3.3 JDKĿ¼ 这个是jenkins所需jdk的目录 3.4 SSH remote hosts 远程访问机器的配置，配置credentials中的账号密码，就是在这里用到的 3.5 Publish over SSH 文件上传的时候需要这个。 4 配置任务 第1.3章 自动化测试之jenkins与应用同台 ，这里已经介绍如何通过参数化构建工程。 爬虫的稍微简单的一些，就是把代码从svn中下载下来，然后上传到远程linux机器上就可以 4.1 文件上传 并不是所有的都是上面的配置，比如如果我自定义的插件，就是下面的风格 4.2 远程执行脚本 kill命令用nohup是因为不这样做，jenkins会抛出异常导致终止部署 sudo

Using Scrapy with amazon S3 is fairly simple, you set: FEED_URI = 's3://MYBUCKET/feeds/%(name)s/%(time)s.jl' FEED_FORMAT = 'jsonlines' AWS_ACCESS_KEY_ID = [access key] AWS_SECRET_ACCESS_KEY = [secret key] and everything works just fine. But Scrapyd seems to override that setting and saves the items on the server (with a link in the web site) Adding the "items_dir =" setting doesn't seem to change anything. What kind of setting makes it work? EDIT: Extra info that might be relevant - we are using Scrapy-Heroku. pranavi dandu I also faced the same problem. Removing the items_dir= from scrapyd

I have created a spider using Portia web scraper and the start URL is https://www1.apply2jobs.com/EdwardJonesCareers/ProfExt/index.cfm?fuseaction=mExternal.searchJobs While scheduling this spider in scrapyd I am getting DEBUG: Crawled (200) <GET https://www1.apply2jobs.com/EdwardJonesCareers/ProfExt/index.cfm?fuseaction=mExternal.searchJobs> (referer: None) ['partial'] DEBUG: Crawled (200) <GET https://www1.apply2jobs.com/EdwardJonesCareers/ProfExt/index.cfm?fuseaction=mExternal.returnToResults&CurrentPage=2> (referer: https://www1.apply2jobs.com/EdwardJonesCareers/ProfExt/index.cfm?fuseaction

The scrapy doc says that: Scrapy comes with a built-in service, called “Scrapyd”, which allows you to deploy (aka. upload) your projects and control their spiders using a JSON web service. is there some advantages in comformance use scrapyd? Scrapyd allows you to run scrapy on a different machine than the one you are using via a handy web API which means you can just use curl or even a web browser to upload new project versions and run them. Otherwise if you wanted to run Scrapy in the cloud somewhere you would have to scp copy the new spider code and then login with ssh and spawn your scrapy

I have install the scrapyd like this pip install scrapyd I want to use scrapyd-deploy when i type scrapyd i got this exception in cmd: 'scrapyd' is not recognized as an internal or external command, operable program or batch file. Maayan I ran into the same issue, and I also read some opinions that scrapyd isn't available / can't run on windows and nearly gave it up (didn't really need it as I intend on deploying to a linux machine, wanted scrapyd on windows for debug purposes). However, after some research I found a way. As I haven't found any clear instructions on this, I will try to make my

Scrapy is pretty cool, however I found the documentation to very bare bones, and some simple questions were tough to answer. After putting together various techniques from various stackoverflows I have finally come up with an easy and not overly technical way to run multiple scrapy spiders. I would imagine its less technical than trying to implement scrapyd etc: So here is one spider that works well at doing it's one job of scraping some data after a formrequest: from scrapy.spider import BaseSpider from scrapy.selector import Selector from scrapy.http import Request from scrapy.http import