Falcor VS ParseHub
Compare Falcor VS ParseHub and see what are their differences
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Falcor
GraphQL
FastAPI
OData
LoopBack.io
Mercurius
Django REST framework
PostgREST
ParseHub
import.io
Apify
Octoparse
Scrapy
Data Miner
Kimono
ScrapeHero
Falcor ParseHubParseHub 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.
Falcor might be a bit more popular than ParseHub. We know about 4 links to it since March 2021 and only 3 links to 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.
Interesting the article jumps straight from REST to GraphQL and forgets Falcor[0] - Netflix's alternative vision for federated services. For a while it looked like it might be a contender to GraphQL but it never really seemed to take off despite being simpler to adopt. [0] https://netflix.github.io/falcor/. - Source: Hacker News / almost 3 years ago
- obviously netflix with falcor, EVCache and hundreds of other projects. Source: about 4 years ago
I pushed for Falcor over GraphQL in 2016. I still think Falcor was a more elegant core idea, but the implementation, tooling, and community never materialized like it did with GraphQL, and now Falcor is relatively niche and obscure. Netflix wasn't willing or able to promote it like Facebook did with GraphQL. That was beginning to be apparent in 2016, but I liked the concept too much. Source: almost 5 years ago
Netflix has two amazing aspects I think. One is obviously the movie infrastructure and the other the way they do data and state management. I would read up on https://netflix.github.io/falcor to get an idea what is involved here.to be honest I dont get the point of rebuilding the visual aspects of their web app, that part is trivial and also completely useless without the parts that matter. Source: about 5 years ago
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 โ 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
GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.
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.
FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
OData - OData, short for Open Data Protocol, is an open protocol to allow the creation and consumption of queryable and interoperable RESTful APIs in a simple and standard way.
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.