Apify vs. Spyder

It is common practice for developers to search for REST endpoints on other websites in order to retrieve data from other websites in a structured format such as JSON. However, not all websites have built distinct REST APIs; in this situation, Apify is quite beneficial. The majority of the time, the data that an organization collects is what is considered to be of the utmost importance. In comparison to the other systems that are currently accessible, Apify makes it simple to supply clean data.

Incentivized

Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda package manager distribution, so depending on your setup you may have installed it on your machine.

Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.

Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities. There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.

• Fast response time, easy to talk to on human and technical level.
• Scalable solution capable of adding additional feature requirements.
• Well documented API, we are able to do some changes by ourselves.

• Debugging of your existing code
• Generates figures very quickly as part of a figures tab which lets users understand results quickly
• Different layouts are available for the software which will give the users freedom to decide what layout works best for them

Incentivized

• Managing a big number of people and tasks.
• Larger scale monitoring system.
• Allow users to search and replace datasets by enhancing APIs.

Incentivized

• Colors in code format
• Add a broadcast to share the project with friends
• Contains more than one important language such as Python

I was very happy with the support I received from Apify. They are always ready to answer all your questions and help solve problems you have.

Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.

Incentivized

Although the purposes and aims of all three products vary widely, I have found Apify to be the most effective option for web scraping for academic purposes. As someone with only a few months' worths of experience with web scraping, I have found Apify's detailed blog posts and very friendly customer support invaluable in my research.

It is not fair to say that Spyder takes upward from all these IDE's, but likewise Jupyter Notebook is also useful for the Python programming purpose. But as the visual studio it is more suitable and also helps in collaboration work, but Spyder has the limitations working with git and other stuff.

Incentivized

• Data gathering process is fully automized with high relevance output.
• Data are up-to-date with minimum delay.
• We use extra time for better decision making process instead of report preparation.

• Less time spent on employee training.
• Limited integration with Git.
• No tools for repository.

Incentivized