Over the years in the market, Oxylabs became a global leader in the web intelligence acquisition industry and have earned the trust of 1000+ clients worldwide, including dozens of Fortune Global 500 companies, academia, and researchers.
Oxylabs offers one of the largest proxy pools in the market - 102M+ IPs in 195 countries. High success rates of its Scraper APIs and Web Unblocker enable customers to maintain robust data-gathering infrastructures to power their businesses.
Clients rely on Oxylabs' premium service for market research, ad verification, brand protection, travel fare aggregation, SEO monitoring, pricing intelligence, and more.
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Oxylabs might be a bit more popular than Gensim. We know about 9 links to it since March 2021 and only 9 links to Gensim. 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.
This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. 🤝. - Source: dev.to / over 1 year ago
Standout python NLP libraries include Spacy and Gensim, as well as pre-trained model availability in Hugginface. These libraries have widespread use in and support from industry and it shows. Spacy has best-in-class methods for pre-processing text for further applications. Gensim helps you manage your corpus of documents, and contains a lot of different tools for solving a common industry task, topic modeling. Source: over 1 year ago
Here we have to install the gensim library in a jupyter notebook to be able to use it in our project, consider the code below;. - Source: dev.to / almost 2 years ago
TextRank will work without any problems. Https://radimrehurek.com/gensim/. Source: about 2 years ago
For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use. - Source: dev.to / over 2 years ago
Utilize Residential Proxies: Residential proxies come with the advantage of having whitelisted IPs tied to real devices, making them reliable for web scraping and anonymous browsing. Providers like Oxylabs, SOAX, and NetNut offer residential proxy services that can cater to your specific needs. Source: 6 months ago
To begin scraping data, you have to decide which platform data you want to scrap. While it is easy to scrap data, some platforms prevent access to scraping of it data and you will have to use a third-party tool like ZenRows or Oxylabs just to mention a few. - Source: dev.to / 7 months ago
Have you tried Oxylabs? They have both residential and datacenter proxies. But I’ve heard their speed is not that great, so do your research. Source: about 1 year ago
Just know that this is what they do as a side gig using their clients as endpoints. Source: about 1 year ago
Ok ended up just going with oxylabs.io. Couldn't figure it out. Source: over 1 year ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
rasa NLU - A set of high level APIs for building your own language parser
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.
FastText - Library for efficient text classification and representation learning
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.