Scheduling a Scrapy spider involves running your spider at specific intervals of time. The typical way of doing this is via a task scheduler.
For instance, in a Unix-based system, you can use cron
to schedule your tasks. If you are working on Windows, you can use Task Scheduler
.
Here's a step-by-step guide on how to schedule a Scrapy spider using cron
:
- Open your terminal.
- Type
crontab -e
to edit the crontab file.
$ crontab -e
- Add a new line to schedule your Scrapy spider. Here's the basic syntax of a cron job:
* * * * * command_to_execute
- The first
*
field is for minutes (0 - 59) - The second
*
field is for hours (0 - 23) - The third
*
field is for days of the month (1 - 31) - The fourth
*
field is for months (1 - 12) - The fifth
*
field is for days of the week (0 - 7) where both 0 and 7 are for Sunday.
For instance, if you want to run your spider every day at 5 PM, you would do something like this:
0 17 * * * cd /path/to/your/spider && scrapy crawl your_spider_name
Remember to replace /path/to/your/spider
with the actual path to your spider and your_spider_name
with the actual name of your spider.
- Save and close the file. Your cron job is now scheduled.
For Windows users, you can use Task Scheduler
:
- Open Task Scheduler
- Click on
Create Basic Task
- Name the task and provide a description
- Choose when you want the task to start
- Choose
Start a program
option - Browse the Python executable file (python.exe) and add arguments as the path of your scrapy spider script
- Click finish to set up the task
Please note that you should have your Scrapy spider set up as a script for this to work. You can achieve this by using the runspider
command provided by Scrapy.
from scrapy import cmdline
cmdline.execute("scrapy runspider my_spider.py".split())
In the above code, replace my_spider.py
with the actual name of your spider file.
Also, you can use Python libraries like schedule
or APScheduler
for in-script scheduling. However, using system-level task schedulers like cron
or Task Scheduler
is more reliable and recommended for production systems.