shub is the Scrapinghub command line client. It allows you to deploy
projects or dependencies, schedule spiders, and retrieve scraped data or logs
without leaving the command line.
- Python 2.7
Install with:
pip install shub
To see all available commands, run:
shub
For help on a specific command, run it with a --help flag, e.g.:
shub schedule --help
Start by logging in:
shub login
This will save your Scrapinghub API key to a file in your home directory
(~/.scrapinghub.yml) and is necessary for access to projects associated
with your Scrapinghub account.
Next, navigate to a Scrapy project that you wish to upload to Scrapinghub. You can deploy it to Scrapy Cloud via:
shub deploy
On the first call, this will guide you through a wizard to save your project ID
into a YAML file named scrapinghub.yml, living next to your scrapy.cfg.
For advanced uses, you can even define aliases for multiple project IDs there:
# project_directory/scrapinghub.yml projects: default: 12345 prod: 33333
From anywhere within the project directory tree, you can now deploy via
shub deploy (to project 12345) or shub deploy prod (to project 33333).
You can also directly supply the Scrapinghub project ID, e.g.:
shub deploy 12345
Next, schedule one of your spiders to run on Scrapy Cloud:
shub schedule myspider
(or shub schedule prod/myspider). You can watch its log or the scraped
items while the spider is running by supplying the job ID:
shub log -f 2/34 shub items -f 2/34
shub reads its configuration from two YAML files: A global one in your home
directory (~/.scrapinghub.yml), and a local one (scrapinghub.yml). The
local one is typically specific to a Scrapy project and should live in the same
folder as scrapy.cfg. However, shub will try all parent directories
until it finds a scrapinghub.yml. When configurations overlap, the local
configuration file will always take precedence over the global one.
Both files have the same format:
projects:
default: 12345
prod: 33333
apikeys: # populated manually or via shub login
default: 0bbf4f0f691e0d9378ae00ca7bcf7f0c
version: GIT # Use git branch/commit as version when deploying. Other
# possible values are AUTO (default) or HG
projects is a mapping from human-friendly names to project IDs. This allows
you to run shub deploy prod instead of shub deploy 33333. version
is a string to be used as project version information when deploying to Scrapy
Cloud. By default, shub will auto-detect your version control system and
use its branch/commit ID as version.
Typically, you will configure only your API keys and the version specifier in
the global ~/.scrapinghub.yml, and keep project configuration in the local
project_dir/scrapinghub.yml. However, sometimes it can be convenient to
also configure projects in the global configuration file. This allows you to
use the human-friendly project identifiers outside of the project directory.
To deploy a Scrapy project to Scrapy Cloud, navigate into the project's folder and run:
shub deploy [TARGET]
where [TARGET] is either a project name defined in scrapinghub.yml or a
numerical Scrapinghub project ID. If you have configured a default target in
your scrapinghub.yml, you can leave out the parameter completely:
$ shub deploy
Packing version 3af023e-master
Deploying to Scrapy Cloud project "12345"
{"status": "ok", "project": 12345, "version": "3af023e-master", "spiders": 1}
Run your spiders at: https://dash.scrapinghub.com/p/12345/
$ shub deploy prod --version 1.0.0
Packing version 1.0.0
Deploying to Scrapy Cloud project "33333"
{"status": "ok", "project": 33333, "version": "1.0.0", "spiders": 1}
Run your spiders at: https://dash.scrapinghub.com/p/33333/
Run shub deploy -l to see a list of all available targets. You can also
deploy your project from a Python egg, or build one without deploying:
$ shub deploy --egg egg_name --version 1.0.0
Using egg: egg_name
Deploying to Scrapy Cloud project "12345"
{"status": "ok", "project": 12345, "version": "1.0.0", "spiders": 1}
Run your spiders at: https://dash.scrapinghub.com/p/12345/
$ shub deploy --build-egg egg_name Writing egg to egg_name
Sometimes your project will depend on third party libraries that are not
available on Scrapy Cloud. You can easily upload these via shub deploy-egg
by supplying a repository URL:
$ shub deploy-egg --from-url https://github.com/scrapinghub/dateparser.git
Cloning the repository to a tmp folder...
Building egg in: /tmp/egg-tmp-clone
Deploying dependency to Scrapy Cloud project "12345"
{"status": "ok", "egg": {"version": "v0.2.1-master", "name": "dateparser"}}
Deployed eggs list at: https://dash.scrapinghub.com/p/12345/eggs
Or even a specific branch if using git:
$ shub deploy-egg --from-url https://github.com/scrapinghub/dateparser.git --git-branch py3-port
Cloning the repository to a tmp folder...
py3-port branch was checked out
Building egg in: /tmp/egg-tmp-clone
Deploying dependency to Scrapy Cloud project "12345"
{"status": "ok", "egg": {"version": "v0.1.0-30-g48841f2-py3-port", "name": "dateparser"}}
Deployed eggs list at: https://dash.scrapinghub.com/p/12345/eggs
Or a package on PyPI:
$ shub deploy-egg --from-pypi loginform
Fetching loginform from pypi
Collecting loginform
Downloading loginform-1.0.tar.gz
Saved /tmp/shub/loginform-1.0.tar.gz
Successfully downloaded loginform
Package fetched successfully
Uncompressing: loginform-1.0.tar.gz
Building egg in: /tmp/shub/loginform-1.0
Deploying dependency to Scrapy Cloud project "12345"
{"status": "ok", "egg": {"version": "loginform-1.0", "name": "loginform"}}
Deployed eggs list at: https://dash.scrapinghub.com/p/12345/eggs
shub allows you to schedule a spider run from the command line:
shub schedule SPIDER
where SPIDER should match the spider's name. By default, shub will schedule
the spider in your default project (as defined in scrapinghub.yml). You may
also explicitly specify the project to use:
shub schedule prod/SPIDER
You can supply spider arguments and job-specific settings through the -a
and -s options:
$ shub schedule myspider -a ARG1=VALUE -a ARG2=VALUE
Spider myspider scheduled, job ID: 12345/2/15
Watch the log on the command line:
shub log -f 2/15
or print items as they are being scraped:
shub items -f 2/15
or watch it running in Scrapinghub's web interface:
https://dash.scrapinghub.com/p/12345/job/2/15
$ shub schedule 33333/myspider -s LOG_LEVEL=DEBUG
Spider myspider scheduled, job ID: 33333/2/15
Watch the log on the command line:
shub log -f 2/15
or print items as they are being scraped:
shub items -f 2/15
or watch it running in Scrapinghub's web interface:
https://dash.scrapinghub.com/p/33333/job/2/15
shub provides commands to retrieve log entries, scraped items, or requests
from jobs. If the job is still running, you can provide the -f (follow)
option to receive live updates:
$ shub log -f 2/15 2016-01-02 16:38:35 INFO Log opened. 2016-01-02 16:38:35 INFO [scrapy.log] Scrapy 1.0.3.post6+g2d688cd started ... # shub will keep updating the log until the job finishes or you hit CTRL+C
$ shub items 2/15
{"name": "Example product", description": "Example description"}
{"name": "Another product", description": "Another description"}
$ shub requests 1/1/1
{"status": 200, "fp": "1ff11f1543809f1dbd714e3501d8f460b92a7a95", "rs": 138137, "_key": "1/1/1/0", "url": "http://blog.scrapinghub.com", "time": 1449834387621, "duration": 238, "method": "GET"}
{"status": 200, "fp": "418a0964a93e139166dbf9b33575f10f31f17a1", "rs": 138137, "_key": "1/1/1/0", "url": "http://blog.scrapinghub.com", "time": 1449834390881, "duration": 163, "method": "GET"}
It is possible to configure different API endpoints:
# ~/.scrapinghub.yml projects: dev: vagrant/3 endpoints: vagrant: http://vagrant:3333/api/ apikeys: # populated manually or via shub login default: 0bbf4f0f691e0d9378ae00ca7bcf7f0c vagrant: a1aeecc4cd52744730b1ea6cd3e8412a