anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Automated data collection tool that captures post content and comments from major social media platforms like Xiaohongshu, Douyin, and Bilibili. It supports keyword searches, profile scraping, and media downloads using browser automation.
MediaCrawler is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.
uv sync uv run playwright install
MediaCrawler is a tool for collecting public information from social media platforms. It captures data by using a browser instance to maintain your login status, which avoids the need for complex security reversals.
It is for researchers and students who study social media data.
You can run this tool on your local machine using a Python environment or a web interface.
uv sync uv run playwright install
You run the tool from the command line by selecting the platform and the data type.
uv run main.py --platform xhs --lt qrcode --type search
You can collect post information and comments for a specific search keyword. The tool browses the platform with your session, gathers the data, and saves it to your local machine.
If you are new to this, the tool acts as an automated assistant that mimics your actions on a web page to gather what you see. For those experienced with data collection, the tool uses a browser automation framework to keep your session active, which trades direct API access for easier maintenance as platform security evolves.
Automated data collection tool that captures post content and comments from major social media platforms like Xiaohongshu, Douyin, and Bilibili. It supports keyword searches, profile scraping, and media downloads using browser automation.
Made by NanmiCoder on GitHub. These notes are Minda's, written from its README; the project's own files and license are in its repository.
What it is: MediaCrawler is a tool for collecting public information from social media platforms. It captures data by using a browser instance to maintain your login status, which avoids the need for complex security reversals.
Who it suits: It is for researchers and students who study social media data.
Where to use it: You can run this tool on your local machine using a Python environment or a web interface.
How to set it up:
uv sync
uv run playwright install
How to use it: You run the tool from the command line by selecting the platform and the data type.
uv run main.py --platform xhs --lt qrcode --type search
Example: You can collect post information and comments for a specific search keyword. The tool browses the platform with your session, gathers the data, and saves it to your local machine.
For newcomers and experts: If you are new to this, the tool acts as an automated assistant that mimics your actions on a web page to gather what you see. For those experienced with data collection, the tool uses a browser automation framework to keep your session active, which trades direct API access for easier maintenance as platform security evolves.
Good to know:
git clone https://github.com/NanmiCoder/MediaCrawler.git
Then follow the setup in its README. Nothing in this kit runs by itself.
README.md 3 KB
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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