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Custom GPTs

Various directories for GPTs.

This repo provides various directories for custom GPT models, allowing users to explore and contribute to a wide range of task-specific GPTs. This repository is designed for those who want to discover or develop personalized GPT models, offering a collection of links to relevant GPT directories and tools that enhance the GPT experience. It serves as a valuable resource for both developers and users looking for tailored AI solutions.

Directories

Easy With AI (All GPTs Directory)
Share GPTs
GPTs Dex
GPTs Hunter
GPT Directory
Just GPTs
GPT Directory
GPT Store
Awesome GPT Store
Sourceduty
All GPTs
GPTs Nest
Hugging Face
CustomGPTs List
awesome-ChatGPT-repositories
whatplugin.ai
Epic GPT Store
Featured GPTs
GPT-Collection
GPT Crafts
GPTs Finder
GPTs House
GPT Hub
GPTHub
GPTs Map
GPT Simulators
Custom GPTs Directory
Advanced GPTs
MyGPTs
Custom-GPTs-Directory
gpts
awesome-GPTs
Sapir
gpt-store
Developer GPTs
CustomGPTs
Custom GPTs
customgpts
custom-gpts
MxGPTs
List of All Public GPTs
Custom GPTs in ChatGPT Store

Scraping Directory Sites

Python

Web scraping custom GPT directory websites using Python is a powerful technique for gathering information in a structured and automated manner. It involves using libraries like BeautifulSoup and requests to extract HTML content from these websites, enabling the collection of relevant data such as model descriptions, release dates, usage statistics, and API links. The process typically begins by sending an HTTP request to the target website, parsing the response with BeautifulSoup to locate specific HTML elements (e.g., div, span, a tags), and then extracting the data from these elements. Handling dynamic content often requires the use of Selenium or Playwright, which allows for interaction with JavaScript-rendered elements.

While scraping, it's important to manage factors like pagination, site structures, and anti-scraping measures, such as CAPTCHA or IP blocking. Libraries like Scrapy can simplify scraping workflows when dealing with large-scale or complex websites. Legal and ethical considerations are also critical, as web scraping should comply with the website's terms of service and robots.txt file, ensuring respect for intellectual property and privacy. Additionally, optimizing scraping for efficiency and managing server requests responsibly are vital to avoid overloading websites with excessive traffic.


πŸ›ˆ This information is free and open-source; anyone can redistribute it and/or modify it.