Python
Rust
JavaScript
Java
C++
Elixir
Lua
Ruby
Octoparse
import.io
Apify
ParseHub
Content Grabber
Data Miner
Scrapy
Kimono
Python OctoparseI've been playing around with different scraping tools in the past month, trying to find the best one to help with my research project, and I have to say this new feature of auto-detection comes like a life-savor. I only need to give the software the link and it will auto-detect the content and build the crawler for me. I can even enjoy it with just a free plan!
Based on our record, Python seems to be a lot more popular than Octoparse. While we know about 281 links to Python, we've tracked only 3 mentions of Octoparse. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / 5 days ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 3 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 4 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 5 months ago
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 5 months ago
Octoparse.com might work, they have a very nice interactive tool + 14 day free trail. Source: over 2 years ago
These are no-code solutions for scraping websites. You don’t need any technical knowledge to scrape Aliexpress using these tools. Using advanced AI-powered click and scrape tools, you can get started scraping within seconds either locally or in the cloud. Choosing a good scraping tool can save you lots of money and time as well. Source: almost 3 years ago
I have always been able to extract data without any problems with Octoparse. It is also a very easy to use tool. Source: almost 3 years ago
Rust - A safe, concurrent, practical language
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
