react-context
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react-context Bright DataReact Context is recommended for small to medium-sized applications or for managing specific sections of the application's state that are shared across many components. It is well-suited for developers looking for a lightweight approach to state management without introducing external dependencies.
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Based on our record, react-context should be more popular than Bright Data. It has been mentiond 209 times since March 2021. 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.
React's hooks (useState, useEffect, useContext) allow for easy encapsulation of reactive business logic. The Context API reduces prop drilling by making state accessible at any component level. - Source: dev.to / over 1 year ago
Use context wherever possible: For application-wide state that needs to be accessed by many components, use the Context API to avoid prop drilling. Hereโs where to learn more about the context API. - Source: dev.to / about 2 years ago
The context API is generally used for managing states that will be needed across an application. For example, we need our user data or tokens that are returned as part of the login response in the dashboard components. Also, some parts of our application need user data as well, so making use of the context API is more than solving the problem for us. - Source: dev.to / over 2 years ago
Previously, in the legacy docs, the Context API was just one of the topics within the Advanced guides. Unless you went digging, you wouldn't have been introduced to it as one of the core ways to handle deep passing of data. I really like that, in the new docs, Context is recommended as a way to manage state as its one of the best ways to avoid prop drilling. - Source: dev.to / over 3 years ago
You can read more about the Context at https://reactjs.org/docs/context.html. - Source: dev.to / over 3 years ago
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The best web scraping tools 2026 leaderboard hasn't changed; the gap has narrowed. Bright Data remains the safest bet for any team that wants to spend time on the data, not on the scraping. The 660-scraper library, 400M-IP network, pay-per-success pricing and unlimited concurrency are still uncontested at the high end. - Source: dev.to / 4 months ago
Infrastructure Pass-Through (OpEx) Data extraction at scale is infrastructure-heavy. Bypassing modern Web Application Firewalls (WAFs) requires high-quality residential proxies, CAPTCHA solvers, and substantial browser-automation compute resources. Services like Bright Data charge significantly by the gigabyte for premium residential IPs. These variable infrastructure costs must be passed directly to the client,... - Source: dev.to / 4 months ago
Bright Data has successfully defended web scraping in U.S. Courts and offers LinkedIn datasets pre-collected and ready to download. LinkedIn profile data on their dataset marketplace runs around $250 per 100,000 records. The freshness caveat is real: bulk datasets are snapshots, not real-time. If you need current job titles on a rolling basis, you're better with an enrichment API than a one-time dataset pull.... - Source: dev.to / 4 months ago
Bright Data built an open-source demo that solves this. It's called the Signal Terminal, a financial research tool built around that problem. - Source: dev.to / 6 months ago
Redux.js - Predictable state container for JavaScript apps
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
React - A JavaScript library for building user interfaces
Decodo - Decodo is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.
Next.js - A small framework for server-rendered universal JavaScript apps
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.