Automating Daily Love Messages with Python and QQ on macOS

Introduction

The article explains a personal automation project that scrapes love messages from a website, saves them to a text file, and uses a Python script to launch QQ on macOS and send a random message each day.

1. Scrape Love Messages

The script visits pages of a love‑quote site, extracts the text inside <p> tags, and writes each quote to qinghua.txt separated by the delimiter !@#$% .

<code>import requests
import re

def fuckLoveWords():
    with open("qinghua.txt", "w", encoding="utf-8") as f:
        for i in range(1000, 1200):
            print("第" + str(i) + "页")
            try:
                url = "http://www.ainicr.cn/qh/" + str(i) + ".html"
                response = requests.get(url).text
                counts = re.findall('&lt;p&gt;(.*?)&lt;/p&gt;&lt;/a&gt;', response)
                for count in counts:
                    f.write(count + '!@#$%')
            except:
                pass

if __name__ == "__main__":
    fuckLoveWords()
</code>

2. Launch QQ and Send Message

The second script reads the stored file, picks the first line as the current message, rewrites the file without that line, and then uses macOS commands to open QQ, copy the message to the clipboard, and send it.

<code>import os
import subprocess

def getText():
    filePath = "/Users/jsq/PycharmProjects/qinghua/qinghua.txt"
    with open(filePath, 'r+', encoding='utf-8') as f:
        content = f.read()
        content = content.split("!@#$%")
        res = content[0]
        del content[0]
        contentStr = '!@#$%'.join(content)
    with open(filePath, 'w', encoding='utf-8') as f2:
        f2.write(contentStr)
    return res

if __name__ == "__main__":
    msg = getText()
    print(msg)
    os.system("open 'tencent://message/?uin=输入要调起的QQ&Site=&Service=201&sigT=2cf2671557dd'")
    p1 = subprocess.Popen(["echo", msg], stdout=subprocess.PIPE)
    subprocess.Popen(["pbcopy"], stdin=p1.stdout)
</code>

3. Configure macOS Auto‑Run

Using the built‑in Automator app, the user creates a workflow that runs the Python script at login. Steps include opening Automator, selecting “Application”, adding a “Run Shell Script” action, inserting the command to execute the Python file, and saving the workflow as an app.

The saved app is then added to System Preferences → Users & Groups → Login Items, ensuring the script runs automatically after the user logs in.

Conclusion

By combining web scraping, file handling, and macOS automation, the solution provides a hands‑free way to send a daily love quote via QQ, demonstrating practical Python scripting and system integration techniques.