Documentation is available online at https://docs.gerapy.com/ and https://github.com/Gerapy/Docs.
Gerapy is developed based on Python 3.x. Python 2.x may be supported later.
Install Gerapy by pip:
After the installation, you need to do these things below to run Gerapy server:
If you have installed Gerapy successfully, you can use command
gerapy. If not, check the installation.
First use this command to initialize the workspace:
Now you will get a folder named
gerapy. Also you can specify the name of your workspace by this command:
gerapy init <workspace>
cd to this folder, and run this command to initialize the Database:
Next you need to create a superuser by this command:
Then you can runserver by this command:
Then you can visit http://localhost:8000 to enjoy it. Also you can vist http://localhost:8000/admin to get the admin management backend.
If you want to run Gerapy in public, just run like this:
gerapy runserver 0.0.0.0:8000
Then it will run with public host and port 8000.
In Gerapy, You can create a configurable project and then configure and generate code of Scrapy automatically. But this module is unstable, we're trying to refine it.
Also you can drag your Scrapy Project to
projects folder. Then refresh web, it will appear in the Project Index Page and comes to un-configurable, but you can edit this project through the web page.
As for deployment, you can move to Deploy Page. Firstly you need to build your project and add client in the Client Index Page, then you can deploy the project just by clicking button.
After the deployment, you can manage the job in Monitor Page.
Just run this command:
docker run -d -v ~/gerapy:/app/gerapy -p 8000:8000 germey/gerapy
Then it will run at port 8000. You can use the temp admin account (username: admin, password: admin) to login. And please change the password later for safety.
docker run -d -v <workspace>:/app/gerapy -p <public_port>:<container_port> germey/gerapy
Please specify your workspace to mount Gerapy workspace by
-v <workspace>:/app/gerapy and specify server port by
If you run Gerapy by Docker, you can visit Gerapy website such as http://localhost:8000 and enjoy it, no need to do other initialzation things.
- Add Visual Configuration of Spider with Previewing Website
- Add Scrapyd Auth Management
- Add Gerapy Auth Management
- Add Timed Task Scheduler
- Add Visual Configuration of Scrapy
- Add Intelligent Analysis of Web Page
If you have any questions or ideas, you can send Issues or Pull Requests, your suggestions are really import for us, thanks for your contirbution.