Bright Data Reviews

1. Sam Mitchell

   | Owner at KittenProperties | 3 months ago
   Mixed feelings

   We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.

   🏁 Competitors: Smartproxy, NetNut.io

   👍 Pros:    Cheap dc proxies

   👎 Cons:    Quite expensive|Residential proxies are worse than competitiors

Keras Reviews

Bright Data mentions (29)

• Best Amazon Scraper APIs To Check Out in 2024

  Every person in the data scraping industry may have heard of the name BrightData. They are the biggest web scraping and proxy provider company in the industry, which offers dedicated scrapers for every major website known for collecting data by developers worldwide, including Amazon. - Source: dev.to / 10 days ago

• Basic Web Browser with Electron +APIS

  Bright Data (formerly Luminati): One of the largest providers with a wide range of customization options and a large number of IPs available. However, their pricing and usage structure can be complex, especially for new users (Proxyway). - Source: dev.to / about 2 months ago

• Scraping the unscrapable in Python using Playwright

  Create a new account on Bright Data to gain access to the admin dashboard of the Scraping Browser for the proxy integration with your application. - Source: dev.to / 12 months ago

• Web scraping using a headless browser in NodeJS

  Create an account on Bright Data to access all its services. But for this project, the focus would be on the Scraping Browser functionality. - Source: dev.to / 12 months ago

• Private subnet to public NAT to another Public AWS IP address should go public internet, right?

  Luminati, now called https://brightdata.com offers a service which would grant access to residual IPs. Source: about 1 year ago

Keras mentions (32)

• Using Google Magika to build an AI-powered file type detector

  The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 9 days ago

• My Favorite DevTools to Build AI/ML Applications!

  As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 2 months ago

• Getting Started with Gemma Models

  After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 2 months ago

• How popular are libraries in each technology

  Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago

• Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!

  I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago