Parsing WeChat Public Account Articles via API and Python Script

Enter the WeChat public account management backend, write an article, and notice the place to insert a hyperlink.

Here we extract the link and analyze its parameters. The begin parameter indicates the start position, and count indicates the number of items. The following link starts from 0 and retrieves 50 articles.

https://mp.weixin.qq.com/cgi-bin/appmsg?action=list_ex&begin=0&count=50&fakeid=&type=9&query=&token=1234455&lang=zh_CN&f=json&ajax=1

Open this URL directly in a browser; the page returns JSON data.

Use a JSON formatter tool.

Now we know how to parse the titles and links; write a script to automate the process. The JSON data is manually obtained via an HTML page, then processed with a Python script, and finally written to a markdown file.

import json
import os 

if __name__ == "__main__":
  for j in os.listdir("./"):
      if j.endswith(".json"):
          f = open(j, 'r')
          data = f.read()
          f.close()

          jdata = json.loads(data)
          print("%s data : %s" % (j, jdata.keys()))

          for doc in jdata['app_msg_list']:
              strFormat = "[%s](%s)" % (doc['title'], doc['link'])
              with open('data.txt','a+') as f:
                  f.writelines(strFormat.encode('utf-8') + "

")
              f.close()

Result:

That's all; the code does not include detailed condition checks (multithreading, etc.) but is sufficient for the task.