Bright Data
Oxylabs
Smartproxy
NetNut.io
IPRoyal
Zyte
Apify
Storm Proxies
OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Bright Data OpenCVWe 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.
Based on our record, OpenCV should be more popular than Bright Data. It has been mentiond 51 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.
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 1 month ago
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 / 11 months ago
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 / 11 months ago
Luminati, now called https://brightdata.com offers a service which would grant access to residual IPs. Source: 12 months ago
I have found all the required html classes and tools to scrape gg.deals website to get the required data for my discord bot. My question is if I am allowed to do that to this specific website without a WebSocket proxy scraping browser like bright data's one or any freely available on the internet. I have tried to contact them using this contact form two times and got nothing as a response. I also found their... Source: about 1 year ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 15 days ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 6 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 40M residential proxies worldwide and a great deal of scraping solutions.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.
NumPy - NumPy is the fundamental package for scientific computing with Python
