
ParseHub
import.io
Apify
Octoparse
Scrapy
Data Miner
Kimono
ScrapeHero
D (Programming Language)
C++
Nim (programming language)
V (programming language)
Go Programming Language
Perl
Pike programming language
Crystal (programming language)
ParseHub is recommended for business analysts, data scientists, researchers, and anyone who needs to extract data from websites regularly but does not wish to dive deeply into coding. It's also a good option for individuals or small businesses looking to gather market research, product pricing information, or other competitive intelligence from web sources.
Based on our record, D (Programming Language) seems to be a lot more popular than ParseHub. While we know about 60 links to D (Programming Language), we've tracked only 3 mentions of ParseHub. 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.
I've heard some folks have success with "parsehub.com", though I once tried it for a project and found it a bit intimidating... Source: over 4 years ago
Parsehub.com — Extract data from dynamic sites, turn dynamic websites into APIs, 5 projects free. - Source: dev.to / about 5 years ago
Parsehub is a powerful web scraping GUI tool for efficient fetching and manipulating data from any webpage. It helps you create an API output for a given website. You can even sanitize your content by using regex or replace function. So the input is a URL and the output is a structured json file. - Source: dev.to / over 5 years ago
I've spent 2 weeks (2-4h per day) to make D language[1] version of Sciter SDK [2] Choice of AI "tooling" was by accident - typed something like "how to define copy constructor in D for custom structure" in Microsoft's Copilot in Edge browser that gives context for AI. The answer was good enough for me and so I went with it further. [1] D language HQ : https://dlang.org/. - Source: Hacker News / 3 months ago
> Mostly, I am not really trying to compete with C/C++/Rust on speed, but I'm not going to add a GC either. So I'm somewhere in there. Out of curiosity, how would you compare the goals of Rue with something like D[0] or one of the ML-based languages such as OCaml[1]? 0 - https://dlang.org/ 1 - https://ocaml.org/. - Source: Hacker News / 9 months ago
The D language home page has something similar with a drop down with code examples https://dlang.org/. - Source: Hacker News / about 1 year ago
What is this? There's a lot of red flags here. * The name "D" for a programming language was taken in 1999: https://dlang.org/. - Source: Hacker News / about 1 year ago
>For me the biggest gap in programming languages is a rust like language with a garbage collector, instead of a borrow checker. I cannot agree more that's the much needed sweet spot/Goldilock/etc. Personally I have been advocating this approach for some times. Apparently the language is already widely available and currently has stable and wide compiler support including the venerable GNU compiler suite (GDC). It... - Source: Hacker News / over 1 year ago
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.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.