This article shows how to create a WeChat intelligent chatbot using only 16 lines of Python code, covering installation of required libraries, obtaining a Turing API key, implementing message handling, and running the bot with automatic login and a persistent loop.
This tutorial explains how to set up a Python environment, install the itchat and pyinstaller libraries, write a script that logs into WeChat and sends repeated messages to a specified contact, and then package the script into a standalone executable file.
This article walks through using the Python itchat library to log into WeChat, monitor incoming messages, detect message recall events, and automatically save the recalled text, images, audio, or video files to a local directory, complete with full source code examples.
This article demonstrates how to use Python's itchat library to monitor WeChat Web, cache incoming messages, detect recall events, and resend the withdrawn content—including text, images, videos, and location data—via the filehelper, providing a complete code example.
This guide demonstrates how to use Python's ItChat library to programmatically send text, image, and video messages to multiple WeChat contacts, including code examples, setup instructions, and troubleshooting tips for Windows environments.
This tutorial demonstrates how to use Python's built‑in modules together with the third‑party itchat library to monitor, capture, and resend WeChat messages that have been withdrawn, providing step‑by‑step code and explanations for installing dependencies, handling different message types, and running the script on various operating systems.
This tutorial demonstrates how to install the itchat library, log in to WeChat, send messages, register message listeners, handle recall notifications, and store recalled text, images, and voice messages by parsing XML and saving files with a complete Python script.
This tutorial explains how to create a WeChat intelligent chatbot using Python, itchat, and the Turing API, covering module installation, API interaction, message handling with decorators, QR‑code login, and continuous execution, all demonstrated with concise code examples.
Learn how to turn a Raspberry Pi 4B into a continuously running WeChat robot using Python and the itchat library, covering automatic replies, AI‑powered chat via an online API, scheduled weather broadcasts, camera photo capture, and video calls with linphone, complete with full source code.
This article provides a Python script that uses the itchat and schedule libraries to automatically log in to WeChat, select friends with remarks, and send randomly chosen New Year greeting messages to each contact at a specified date and time.
This tutorial walks you through installing the itchat Python library, logging into WeChat, searching friends, sending messages, registering message handlers for text, images and recordings, storing media files, and capturing withdrawn messages, all with clear code examples and screenshots.
This tutorial explains how to set up a Python environment, install the itchat and pyinstaller libraries, write a script that logs in via QR code to send repeated messages to a chosen contact, and finally package the script into a standalone executable using PyInstaller.
This article walks through installing the itchat Python library, logging into WeChat, sending messages, registering message handlers for text, images, and recordings, and storing chat data, providing a complete tutorial for building a simple WeChat automation script.
This tutorial walks beginners through creating a WeChat chatbot in Python, covering library selection between itchat and wxpy, configuring the Turing or XiaoI AI services, downloading the project from GitHub, installing dependencies, and running the bot to interact via QR‑code login.
This tutorial demonstrates how to log into WeChat via the itchat library, retrieve friends' region, gender, and signature information, store it as JSON, and generate visualizations such as gender distribution charts, province maps, and word clouds using Python.
This article walks through creating a configurable WeChat group chatbot using Python's itchat library, featuring toggleable auto-replies via CSV files, custom keyword responses, timed group messages, and a wxPython GUI, with detailed code explanations, multithreading design, and deployment tips for cloud servers.
This tutorial shows how to use Python's itchat library to collect WeChat friends' personal signatures, store them in a text file, and generate a word‑cloud visualization that highlights the most common themes among the signatures.
This tutorial demonstrates how to employ Python's itchat library to log into WeChat, retrieve the total number of contacts, analyze gender distribution, and visualize the results, providing step‑by‑step code, screenshots, and tips for verifying the data against the official app.
Learn step-by-step how to use Python’s itchat library to extract your WeChat contacts’ province and city information, handle QR code authentication, parse the data, and create visual maps of friend distribution, all illustrated with screenshots and code snippets.
This tutorial demonstrates how to use Python's itchat library to scrape WeChat friends' signatures, save them to a text file, and then generate a word‑cloud visualization with custom background and font, providing step‑by‑step code snippets and screenshots of the process.
This guide demonstrates how to use the Python itchat library to monitor private chats, record withdrawn messages—including text, images, videos, and files—and automatically forward the recovered content to your WeChat file helper, with full code examples and setup instructions.
This tutorial shows how to use Python's itchat library to extract your WeChat contacts' province and city information, analyze the distribution, and create visual maps, providing step‑by‑step guidance and sample screenshots for each stage.
This article demonstrates how to use the Python itchat library to extract personal WeChat friend data, then analyzes gender ratios, city distribution, and signature word clouds with R and Python visualisation tools, offering a practical guide for personal social network analytics.
This tutorial demonstrates how to use the Python itchat library to log into WeChat, analyze friend demographics, generate signature word clouds, and build an automatic reply bot, providing step‑by‑step code, required packages, and visual results.
