scrapyd-client 1.2.0

A client for Scrapyd

Scrapyd-client is a client for Scrapyd. It provides:

• scrapyd-deploy, to deploy your project to a Scrapyd server

• scrapyd-client, to interact with your project once deployed

scrapyd-deploy

Deploying your project to a Scrapyd server typically involves two steps:

1. Eggifying your project. You’ll need to install setuptools for this. See Egg Caveats below.

2. Uploading the egg to the Scrapyd server through the addversion.json endpoint.

The scrapyd-deploy tool automates the process of building the egg and pushing it to the target Scrapyd server.

Including Static Files

If the egg needs to include static (non-Python) files, edit the setup.py file in your project. Otherwise, you can skip this step.

If you don’t have a setup.py file, create one with:

scrapyd-deploy --build-egg=/dev/null

Then, set the package_data keyword argument in the setup() function call in the setup.py file. Example (note: projectname would be your project’s name):

from setuptools import setup, find_packages

setup(
    name         = 'project',
    version      = '1.0',
    packages     = find_packages(),
    entry_points = {'scrapy': ['settings = projectname.settings']},
    package_data = {'projectname': ['path/to/*.json']}
)

Deploying a Project

First cd into your project’s root, you can then deploy your project with the following:

scrapyd-deploy <target> -p <project>

This will eggify your project and upload it to the target. If you have a setup.py file in your project, it will be used, otherwise one will be created automatically.

If successful you should see a JSON response similar to the following:

Deploying myproject-1287453519 to http://localhost:6800/addversion.json
Server response (200):
{"status": "ok", "spiders": ["spider1", "spider2"]}

To save yourself from having to specify the target and project, you can set the defaults in the Scrapy configuration file.

Versioning

By default, scrapyd-deploy uses the current timestamp for generating the project version, as shown above. However, you can pass a custom version using --version:

scrapyd-deploy <target> -p <project> --version <version>

The version must be comparable with LooseVersion. Scrapyd will use the greatest version unless specified.

If you use Mercurial or Git, you can use HG or GIT respectively as the argument supplied to --version to use the current revision as the version. You can save yourself having to specify the version parameter by adding it to your target’s entry in scrapy.cfg:

[deploy:target]
...
version = HG

Local Settings

You may want to keep certain settings local and not have them deployed to Scrapyd. To accomplish this you can create a local_settings.py file at the root of your project, where your scrapy.cfg file resides, and add the following to your project’s settings:

try:
    from local_settings import *
except ImportError:
    pass

scrapyd-deploy doesn’t deploy anything outside of the project module, so the local_settings.py file won’t be deployed.

Egg Caveats

Some things to keep in mind when building eggs for your Scrapy project:

• Make sure no local development settings are included in the egg when you build it. The find_packages function may be picking up your custom settings. In most cases you want to upload the egg with the default project settings.

• You should avoid using __file__ in your project code as it doesn’t play well with eggs. Consider using pkgutil.get_data instead. Instead of:

  open(os.path.join(os.path.abspath(os.path.dirname(__file__)), "tools/json/test.json"))  # BAD

  Use:

  pkgutil.get_data("projectname", "tools/json/test.json")

• Be careful when writing to disk in your project, as Scrapyd will most likely be running under a different user which may not have write access to certain directories. If you can, avoid writing to disk and always use tempfile for temporary files.

scrapyd-client

For a reference on each subcommand invoke scrapyd-client <subcommand> --help.

Where filtering with wildcards is possible, it is facilitated with fnmatch. The --project option can be omitted if one is found in a scrapy.cfg.

deploy

This is a wrapper around scrapyd-deploy.

projects

Lists all projects of a Scrapyd instance:

# lists all projects on the default target
scrapyd-client projects
# lists all projects from a custom URL
scrapyd-client -t http://scrapyd.example.net projects

schedule

Schedules one or more spiders to be executed:

# schedules any spider
scrapyd-client schedule
# schedules all spiders from the 'knowledge' project
scrapyd-client schedule -p knowledge \*
# schedules any spider from any project whose name ends with '_daily'
scrapyd-client schedule -p \* \*_daily

spiders

Lists spiders of one or more projects:

# lists all spiders
scrapyd-client spiders
# lists all spiders from the 'knowledge' project
scrapyd-client spiders -p knowledge

Scrapy configuration file

Targets

You can define a Scrapyd target in your project’s scrapy.cfg file. Example:

[deploy]
url = http://scrapyd.example.com/api/scrapyd
username = scrapy
password = secret
project = projectname

You can now deploy your project without the <target> argument or -p <project> option:

scrapyd-deploy

If you have multiple targets, add the target name in the section name. Example:

[deploy:targetname]
url = http://scrapyd.example.com/api/scrapyd

[deploy:another]
url = http://other.example.com/api/scrapyd

To deploy to one target, run:

scrapyd-deploy targetname -p <project>

To deploy to all targets, use the -a option:

scrapyd-deploy -a -p <project>

To list all available targets, use the -l option:

scrapyd-deploy -l

To list all available projects on one target, use the -L option:

scrapyd-deploy -L example

While your target needs to be defined with its URL in scrapy.cfg, you can use netrc for username and password, like so:

machine scrapyd.example.com
    username scrapy
    password secret

History

1.2.0 (2021-10-01)

• Add support for Scrapy 2.5.

• Add support for Python 3.7, 3.8, 3.9, PyPy3.7.

• Drop support for Python 2.7, 3.4, 3.5.

• Remove scrapyd_client.utils.get_config, which was a compatibility wrapper for Python 2.7.

1.2.0a1 (2017-08-24)

• Install scrapyd-deploy as a console script.

• New scrapy-client CLI with deploy, projects, spiders, and schedule subcommands.

1.1.0 (2017-02-10)

• New -a option to deploy to all targets.

• Fix returncode on egg deploy error.

• Add Python 3 support.

• Drop Python 2.6 support.

1.0.1 (2015-04-09)

Initial release.