Oxylabs is a fairly well-known company in the web scraping field with ten years of experience.

They have released a Python package for web parsing. With its help, you can extract data from e-commerce sites, search engines, real estate services, and much more.

Here is a simple example of parsing Bing results:

from oxylabs import RealtimeClient

# Specify credentials for Oxylabs API authorization
username = "username"
password = "password"

# Create a Realtime client with our credentials
client = RealtimeClient(username, password)

# Use bing_search to get Bing results for the query "nike"
result = client.bing.scrape_search("nike")

# Print raw data (as is)
print(result.raw)

Oxylabs can work with almost any websites, but they have separate, more specialized APIs for popular platforms:

- Amazon
- Google
- Google Shopping
- Bing
- Kroger
- Wayfair
- YouTube Transcript

You can learn more about Oxylabs on their website
If you only need the Python package for web scraping, it can be found on GitHub

👉  @DataScience4

Django tip:

Use python manage.py dumpdata to export the database to JSON or other formats. If you save the output to a file, it can be used as a fixture for tests or as initial data for new projects.

Example 👇

# Export the entire database to a JSON file
python manage.py dumpdata > data.json

# Export data of a specific app
python manage.py dumpdata myapp.Book > books.json

👉  @DataScience4

How to upload a file via SSH using #Python and paramiko 🐍⚡️

https://t.me/DataScience4 🌟

Found a useful library for Python — Translators.

This is a module that allows you to translate text for free and massively through a bunch of external engines: Google, Yandex, Bing, Baidu, Tencent, DeepL, Reverso, Papago, and a bunch of other services, including even Argos and Iflytek. 😨

It works with dozens of languages (Russian, English, Spanish, Chinese, German, and others). Usage is simple and does not require complex setup.

Installation:

git clone https://github.com/UlionTse/translators.git
cd translators
python setup.py install

or simpler:

pip install --upgrade translators

GitHub: github.com/UlionTse/translators

👉  @DataScience4

Clean code tip in Python:

Use .get() to access a value by key in a dictionary with a default value.

This makes the code shorter and clearer.

The method returns the value for the key if it exists, otherwise it returns the specified default value.

Example:

user_info = {
    "username": "john_doe",
    "email": "john@example.com",
    # the key "role" is missing
}

email = user_info.get("email", None)     # Result: "john@example.com"
user_role = user_info.get("role", "guest")  # Result: "guest"

👉 @DataScience4

🚀 Master Data Science & Programming!

Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!


🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer

🔖 Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.me/DataScienceM

🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://t.me/DataScience4

🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ

💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1

🧑‍🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://t.me/DataScienceC

😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://t.me/DataScienceT

💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9

🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab

🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.me/DataScienceN

📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV

📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://t.me/DataAnalyticsX

🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://t.me/Python53

⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://t.me/DataScienceY

━━━━━━━━━━━━━━━━━━
Admin: @HusseinSheikho