


Briefly introduce the example of automatic downloading of emails in Python
This article brings you relevant knowledge about Python. It introduces in detail how to use Python language to realize automatic downloading of emails and attachment parsing functions. The sample code in the article is explained in detail. Let’s take a look. Take a look, hope it helps everyone.
[Related recommendations: Python3 video tutorial ]
Before we start coding, let’s first understand the three email service protocols :
1. SMTP protocol
SMTP (Simple Mail Transfer Protocol), which is the simple mail transfer protocol. It is equivalent to a transfer station and sends emails to the client.
2. POP3 Protocol
POP3 (Post Office Protocol 3), the third version of the post office protocol, is the first offline protocol standard for email. This protocol downloads emails to the local computer and does not synchronize with the server. The disadvantage is that it is more likely to lose emails or download the same emails multiple times.
3. IMAP protocol
IMAP (Internet Mail Access Protocol), which is the interactive mail access protocol. This protocol connects to remote mailboxes for direct operation and synchronizes content with the server.
Then introduce the email package
The central component of this package is the "object model" that represents the email message. Applications interact with this package primarily through the object model interface defined in the message submodule. Applications can use this API to ask questions about existing emails, construct new emails, or add or remove email subcomponents that themselves use the same object model interface. That is, following the nature of email messages and their MIME subcomponents, the email object model is a tree structure of all objects that provide the EmailMessage API.
Next, we use specific code to implement the functions of logging in to the email client, downloading emails, and parsing the content of email attachments.
First we need to define an email parsing class, which requires three variables:
1. The imap service address to which the email belongs;
2. Email account;
3. Email password [Note: Different email addresses require different security policies. For example, qq email requires SMS verification to obtain a login authorization code instead of a clear text password to log in to the remote client]
class Email_parse: def __init__(self,remote_server_url,email_url,password): # imap服务地址 self.remote_server_url = remote_server_url # 邮箱账号 self.email_url = email_url # 邮箱密码 self.password = password
Then Define the entry function in the class, log in remotely, and get all the emails on the first page by default. We get the subject of the email and print it out [The encoding of different email subjects may be different, and the binary needs to be transcoded to display correctly]
def main_parse_Email(self): """入口函数,登录imap服务""" server = imaplib.IMAP4_SSL(self.remote_server_url, 993) server.login(self.email_url, self.password) server.select('INBOX') status,data = server.search(None,"ALL") if status != 'OK': raise Exception('read email error') emailids = data[0].split() mail_counts = len(emailids) print("count:",mail_counts) # 邮件的遍历是按时间从后往前,这里我们选择最新的一封邮件 for i in range(mail_counts - 1, mail_counts - 2, -1): status, edata = server.fetch(emailids[i], '(RFC822)') msg = email.message_from_bytes(edata[0][1]) #获取邮件主题title subject = email.header.decode_header(msg.get('subject')) if type(subject[-1][0]) == bytes: title = subject[-1][0].decode(str(subject[-1][1])) elif type(subject[-1][0]) == str: title = subject[-1][0] print("title:", title)
Among them, the msg variable saves the body of the email, which will be reused later. To msg and tilt, we will construct a class function to return msg and title.
def get_email_title(msg): subject = email.header.decode_header(msg.get('subject')) if type(subject[-1][0]) == bytes: title = subject[-1][0].decode(str(subject[-1][1])) elif type(subject[-1][0]) == str: title = subject[-1][0] print("title:", title) return title
When parsing the email, we divide it into two parts, the email body [HTML] and the attachment [xlsx, etc.]. If we determine that there is an attachment, we will save it to a fixed path. I won’t go into details about the parsing of the table. Packages such as pandas are enough to handle it.
def get_att(msg): """获取附件并下载""" filename = Email_parse.get_email_name(msg) for part in msg.walk(): file_name = part.get_param("name") if file_name: data = part.get_payload(decode=True) if data != None: att_file = open('./src/' + filename, 'wb') att_file.write(data) att_file.close() else: pass
For the email body content, we directly parse the html and save the text content directly to the .txt file for easy reading.
def get_text_from_HTML(msg): """获取邮件中的html""" filename = Email_parse.get_email_name(msg) current_title = Email_parse.get_email_title(msg) print("filename:",filename,type(filename)) for part in msg.walk(): if not part.is_multipart(): result = part.get_payload(decode=True) result = result.decode('gbk') f = open(f'./src/{current_title}.txt','w') f.write(result) f.close() return result
The complete code is as follows:
import email import imaplib from email.header import decode_header import pandas as pd import datetime class Email_parse: def __init__(self,remote_server_url,email_url,password): self.remote_server_url = remote_server_url self.email_url = email_url self.password = password def get_att(msg): filename = Email_parse.get_email_name(msg) for part in msg.walk(): file_name = part.get_param("name") if file_name: data = part.get_payload(decode=True) if data != None: att_file = open('./src/' + filename, 'wb') att_file.write(data) att_file.close() else: pass def get_email_title(msg): subject = email.header.decode_header(msg.get('subject')) if type(subject[-1][0]) == bytes: title = subject[-1][0].decode(str(subject[-1][1])) elif type(subject[-1][0]) == str: title = subject[-1][0] print("title:", title) return title def get_email_name(msg): for part in msg.walk(): file_name = part.get_param("name") if file_name: h = email.header.Header(file_name) dh = email.header.decode_header(h) filename = dh[0][0] if dh[0][1]: value, charset = decode_header(str(filename, dh[0][1]))[0] if charset: filename = value.decode(charset) print("附件名称:", filename) return filename def main_parse_Email(self): server = imaplib.IMAP4_SSL(self.remote_server_url, 993) server.login(self.email_url, self.password) server.select('INBOX') status,data = server.search(None,"ALL") if status != 'OK': raise Exception('read email error') emailids = data[0].split() mail_counts = len(emailids) print("count:",mail_counts) for i in range(mail_counts - 1, mail_counts - 2, -1): status, edata = server.fetch(emailids[i], '(RFC822)') msg = email.message_from_bytes(edata[0][1]) subject = email.header.decode_header(msg.get('subject')) if type(subject[-1][0]) == bytes: title = subject[-1][0].decode(str(subject[-1][1])) elif type(subject[-1][0]) == str: title = subject[-1][0] print("title:", title) Email_parse.get_att(msg) Email_parse.get_text_from_HTML(msg) def get_text_from_HTML(msg): filename = Email_parse.get_email_name(msg) current_title = Email_parse.get_email_title(msg) print("filename:",filename,type(filename)) for part in msg.walk(): if not part.is_multipart(): result = part.get_payload(decode=True) result = result.decode('gbk') f = open(f'./src/{current_title}.txt','w') f.write(result) f.close() return result if __name__ == "__main__": remote_server_url = 'imap.qq.com' email_url = "*********@qq.com" password = "**********" demo = Email_parse(remote_server_url,email_url,password) demo.main_parse_Email()
Running results:
[Related recommendations:Python3 video tutorial】
The above is the detailed content of Briefly introduce the example of automatic downloading of emails in Python. For more information, please follow other related articles on the PHP Chinese website!

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

SublimeText3 Chinese version
Chinese version, very easy to use

SublimeText3 Mac version
God-level code editing software (SublimeText3)
