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This article mainly introduces "how to use Python to extract unwatermarked video from Little Red Book". In daily operation, I believe that many people have doubts about how to extract unwatermarked video from Little Red Book with Python. Xiaobian consulted all kinds of materials and sorted out a simple and easy-to-use method of operation. I hope it will be helpful for you to answer the question of "how to use Python to extract Little Red Book unwatermarked video". Next, please follow the editor to study!

Videoparse interface provides video de-watermarking resolution.

The API call is very simple. The interface address is:

Https://api-sv.videoparse.cn/api/video/normalParse?appid= platform appid&appsecret= platform appsecret&url= requires parsed url

An example of Python code is as follows:

#! / usr/bin/env python# encoding: utf-8import requests, urllib, jsonappId = "" appSecret = "" url = "" params = {"appId": appId, "appSecret": appSecret, "url": url} api_url = "https://api-sv.videoparse.cn/api/video/normalParse"def get (url):'': param url:: return:''msg = {" code ": 0," msg ":" "body": ""} url=url + "?" + urllib.parse.urlencode (params) response = requests.get (url=url Timeout=30) if response.status_code! = 200: msg ['code'] = 1 msg ["msg"] = "request problem" return msg # result = json.loads (response.text) if you get it directly into the system, please convert the returned parameters directly to json result = response.text # if you do not need to convert json Accept the data directly and return return resultdef post (url, data):'': param url:: param data:: param headers:: return:''msg = {"code": 0, "msg": "", "body": ""} response = requests.post (url=url, data=data) Timeout=30) if response.status_code! = 200: msg ['code'] = 1 msg ["msg"] = "request problem" return msg # result = json.loads (response.text) if you get it directly into the system, please convert the returned parameters directly to json result = response.text # if you do not need to convert json Then directly accept the data and return return result to this, on "how to use Python to extract little red book unwatermarked video" the study is over, I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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