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Web Scraping & Bots · 강의

기본 작업 예약

지속적인 자동화를 위해 특정 간격으로 봇을 실행하는 간단한 예약 메커니즘을 구현합니다.

기본 작업 예약은(는) CoddyKit의 무료 Web Scraping & Bots 강의입니다. 이것은 4개 중 3번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Web Scraping & Bots 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Web Scraping & Bots 강의에는 총 4개의 강의가 포함되어 있습니다.

이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.

Why Schedule Your Bot?

Ever wished your bot could run itself without you pressing "Go"? That's where scheduling comes in!

Scheduling allows your bot to perform tasks automatically at specific times or intervals. This is super useful for:

  • Monitoring: Checking a website every hour for updates.
  • Data Collection: Scraping news articles daily.
  • Notifications: Sending alerts when a price changes.

Let's learn how to make your bot work on its own schedule.

Pausing Your Bot with `time.sleep()`

The simplest way to introduce a delay in your Python bot is using the time.sleep() function. It pauses your program for a specified number of seconds.

This is great for waiting between requests to avoid overwhelming a server, or just to slow things down.

Try this simple example:

import time

def main():
    print("Starting task...")
    time.sleep(2) # Pause for 2 seconds
    print("Task finished after delay.")

if __name__ == "__main__":
    main()

Making Tasks Repeat

To make your bot do something repeatedly, you can combine time.sleep() with a while loop. This creates a basic, continuous operation.

Your bot will execute the task, pause, and then repeat indefinitely (or until you stop it).

Be careful with infinite loops in real bots – you'll need a way to stop them!

import time

def main():
    counter = 0
    while counter < 3: # Run 3 times for demo
        print(f"Bot is running task {counter + 1}...")
        time.sleep(3) # Wait 3 seconds
        counter += 1
    print("Bot finished its scheduled runs.")

if __name__ == "__main__":
    main()

When `time.sleep()` Isn't Enough

While a while loop with time.sleep() works for simple repetition, it has limitations:

  • Blocking: The entire program pauses. If you have other things to do, they also stop.
  • Fixed Intervals: It's hard to schedule tasks at specific clock times (e.g., "every day at 9 AM") rather than just "every X seconds."
  • Complexity: Managing multiple, different schedules becomes messy.

For more sophisticated scheduling, we need a better tool.

Meet the `schedule` Library

For more flexible and readable scheduling within Python, the schedule library is a popular choice. It lets you define tasks and their schedules in a very intuitive way.

First, you need to install it:

  • pip install schedule

Once installed, you can tell it exactly when to run your functions.

Scheduling a Task for the Future

The schedule library makes it easy to run a function after a certain delay. You tell it how often, and what function to call.

Let's create a simple function and schedule it to run once after a few seconds.

import schedule
import time

def my_task():
    print("This task ran as scheduled!")

def main():
    print("Scheduling task to run in 5 seconds...")
    schedule.every(5).seconds.do(my_task)

    # This loop keeps the scheduler running
    start_time = time.time()
    while True:
        schedule.run_pending()
        time.sleep(1) # Check every second
        # For this demo, let's stop after 6 seconds
        if time.time() > start_time + 6:
            break
    print("Scheduler stopped.")

if __name__ == "__main__":
    main()

Setting Up Recurring Tasks

The real power of schedule comes from defining recurring tasks. You can schedule tasks to run every second, minute, hour, day, or even specific days of the week.

Here are some examples of how you can define recurring schedules:

  • schedule.every(10).minutes.do(job)
  • schedule.every().hour.do(job)
  • schedule.every().day.at("10:30").do(job)
  • schedule.every().monday.do(job)
  • schedule.every().wednesday.at("13:15").do(job)

It's very flexible!

Running Your Scheduled Bot

After you've defined your scheduled tasks, you need a way for the schedule library to constantly check if any tasks are due to run. This is done with a simple loop.

The schedule.run_pending() function checks for tasks, and time.sleep() ensures your bot isn't constantly busy checking.

import schedule
import time

def scrape_news():
    print("Scraping news headlines...")
    # In a real bot, this would fetch data
    print("News scraped at", time.strftime("%H:%M:%S"))

def check_price_alert():
    print("Checking for price drops...")
    # In a real bot, this would check prices
    print("Price check at", time.strftime("%H:%M:%S"))

def main():
    print("Bot is starting. Tasks scheduled.")
    schedule.every(5).seconds.do(scrape_news)
    schedule.every(10).seconds.do(check_price_alert)

    # Main loop to run pending tasks
    start_time = time.time()
    while True:
        schedule.run_pending()
        time.sleep(1) # Check every second
        if time.time() - start_time > 25: # Run for 25 seconds for demo
            break
    print("Bot finished its scheduled operations for the demo.")

if __name__ == "__main__":
    main()

Beyond In-Bot Scheduling

While the schedule library is great for simple, in-process scheduling, large-scale or mission-critical bots often use external scheduling tools.

  • Cron (Linux/macOS): A powerful command-line utility for scheduling tasks.
  • Task Scheduler (Windows): A built-in tool for automating tasks.
  • Cloud Schedulers: Services like AWS EventBridge or Google Cloud Scheduler for cloud-based bots.

These tools can start your Python script itself, offering more robustness and system-level control.

Schedule It!

You've learned about different ways to schedule tasks for your bot. Now, let's test your understanding!

Recap: Scheduling Your Bots

Great job! You've mastered the basics of scheduling in Python. We covered:

  • Using time.sleep() for simple pauses and basic loops for repetition.
  • The limitations of simple loops for complex scheduling.
  • How to use the powerful schedule library for flexible task management.
  • The importance of the schedule.run_pending() loop.
  • A brief mention of external scheduling tools for production bots.

Now your bots can truly work for you, even when you're away!

자주 묻는 질문

“기본 작업 예약” 강의는 무료인가요?

네 — “기본 작업 예약” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Web Scraping & Bots 강의 전체를 잠금 해제할 수 있습니다. Web Scraping & Bots 강의에는 총 4개의 강의가 포함되어 있습니다.

“기본 작업 예약”에서 뭘 배우나요?

지속적인 자동화를 위해 특정 간격으로 봇을 실행하는 간단한 예약 메커니즘을 구현합니다. 브라우저에서 직접 실행하는 실습 코드로 Web Scraping & Bots을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.

Web Scraping & Bots을(를) 시작하는 데 경험이 필요한가요?

사전 경험은 필요하지 않습니다. CoddyKit의 Web Scraping & Bots은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 3번째 강의입니다.

“기본 작업 예약” 강의는 얼마나 걸리나요?

대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.

이 Web Scraping & Bots 강의에서 코드를 작성하고 실행할 수 있나요?

네. 모든 Web Scraping & Bots 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.

이 강의의 모든 강의

  1. 봇 목표 정의
  2. 간단한 양식 제출 자동화
  3. 기본 작업 예약
  4. 봇의 로그 기록과 오류 처리
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