GraphQL
Next.js
React
gRPC
Nest.js
Hasura
Strapi
ExpressJS
Zyte
Apify
Bright Data
import.io
Octoparse
ScrapingBee
Scraper API
Decodo
We are the leader in web data extraction technology and services. We're obsessed with data. And what it can do for businesses.
We help thousands of companies and millions of developers to get their hands on clean, accurate data. Quickly, reliably & at scale. Every day, for more than a decade.
From price intelligence, news and media, job listings and entertainment trends, brand monitoring, and more, our customers rely on us to obtain dependable data from over 13 billion web pages each month.
Zyte (formerly Scrapinghub) serves over 2,000 companies and 1 million developers from across the globe who value accurate, reliable web data to help them run their business.
GraphQL ZyteBased on our record, GraphQL seems to be a lot more popular than Zyte. While we know about 258 links to GraphQL, we've tracked only 1 mention of Zyte. 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.
GraphQL is a query language combined with a server-side runtime. It was created by Facebook in 2012, and soon after, they released the specification to the public and made a NodeJS implementation open source. - Source: dev.to / 4 months ago
Definitely they should include D4M and GraphQL [1],[2]. Not only D4M can cater for structured relational data, it also suitable for sparse data in spreadsheet, matrices and graph. It's essentially a generalization of SQL but for all things data. There's also integration of D4M with SciDB [3]. [1] D4M: Dynamic Distributed Dimensional Data Model: https://d4m.mit.edu/ [2] GraphQL: https://graphql.org/ [3] D4M:... - Source: Hacker News / 8 months ago
GraphQL is becoming a popular choice, making development easier. - Source: dev.to / 10 months ago
In modern software architecture, Jamstack separates the frontend from the backend through API consumption. Traditionally, this has been achieved with RESTful APIs, which enable data exchange between server and client. However, REST often causes performance issues, such as over-fetching and added complexity. A client may need only a small subset of data, but a REST endpoint might return an entire dataset, which... - Source: dev.to / 11 months ago
Before we dive into GraphQL, it's crucial to understand the challenges it was designed to solve. Traditional API architectures like REST often struggle with two pervasive and inefficient patterns:. - Source: dev.to / 11 months ago
Scrapinghub.com โ Data scraping with visual interface and plugins. Free plan includes unlimited scraping on a shared server. - Source: dev.to / about 5 years ago
Next.js - A small framework for server-rendered universal JavaScript apps
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
React - A JavaScript library for building user interfaces
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
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.