Data

Web scraping database

Web scraping database
  1. Can SQL be used for web scraping?
  2. Is it legal to sell web scraped data?
  3. Is web scraping part of ETL?
  4. Which DB works best with Python?
  5. Do hackers use SQL?
  6. Is SQL good for data mining?
  7. Is web scraping better than API?
  8. Is web scraping legal EU?
  9. Does Amazon ban web scraping?
  10. Does web scraping make money?
  11. Is Python good for ETL?
  12. Do data engineers do web scraping?
  13. Do you need API for web scraping?
  14. Which database is best for data lake?
  15. Which DB is best for search engine?
  16. Which database is good for flask?
  17. Do I need a database if I use an API?
  18. What are 3 most common APIs?
  19. Does data lake use SQL?
  20. Can MongoDB be a data lake?
  21. Can I use MongoDB as a data lake?

Can SQL be used for web scraping?

SQL Machine Learning language helps you in web scrapping with a small piece of code. In the previous articles for SQL Server R scripts, we explored the useful open-source libraries for adding new functionality in R.

Is it legal to sell web scraped data?

Web scraping is completely legal if you scrape data publicly available on the internet. But some kinds of data are protected by international regulations, so be careful scraping personal data, intellectual property, or confidential data.

Is web scraping part of ETL?

Web scraping is one form of ETL: you extract data from a website, transform it to fit the format you want, and load it into a CSV file. To extract data from the web, you need to know a few basics about HTML, the backbone of each web page you see on the internet.

Which DB works best with Python?

SQLite. SQLite is probably the most straightforward database to connect to with a Python application since you don't need to install any external Python SQL modules to do so. By default, your Python installation contains a Python SQL library named sqlite3 that you can use to interact with an SQLite database.

Do hackers use SQL?

SQL injection works by exploiting vulnerabilities in a website or computer application – usually through a data entry form. Hackers type SQL commands into fields such as login boxes, search boxes or 'sign up' fields. The aim is to use complex code sequences to gain access to a system and reveal the data held inside.

Is SQL good for data mining?

SQL Server Data Mining provides the following features in support of integrated data mining solutions: Multiple data sources: You can use any tabular data source for data mining, including spreadsheets and text files. You can also easily mine OLAP cubes created in SQL Server Analysis Services.

Is web scraping better than API?

APIs are generally limited to extracting data from a single website (unless they're aggregators), but with web scraping, you can get data from multiple websites. In addition, API lets you get only a specific set of data provided by the developers.

Is web scraping legal EU?

Under the EU's General Data Protection Regulation (GDPR), web scraping restrictions do not apply to a person or company unless such an entity extracts personal data of people within the European Economic Area.

Does Amazon ban web scraping?

Amazon can detect Bots and block their IPs

Since Amazon prevents web scraping on its pages, it can easily detect if an action is being executed by a scraper bot or through a browser by a manual agent.

Does web scraping make money?

Every company needs Data, and because of this need, we can use our skills in Web Scraping to earn a bit of money on the side and even make a full-time income with this skill.

Is Python good for ETL?

Alternative programming languages for ETL

Although Python is a viable choice for coding ETL tasks, developers do use other programming languages for data ingestion and loading.

Do data engineers do web scraping?

Job Description

As a Web Scraping focused Data Engineer, you will be responsible for extracting and ingesting data from websites using web crawling tools. In this role you will own the creation process of these tools, services, and workflows to improve crawl/ scrape analysis, reports and data management.

Do you need API for web scraping?

API: You May Need to Use Both Tools. Depending on your current level of skill, your target websites, and your goals, you may need to use both APIs and web scraping tools. If a website doesn't have a dedicated API, using a web scraper is your only option.

Which database is best for data lake?

Using MongoDB Atlas databases and data lakes

MongoDB databases have flexible schemas that support structured or semi-structured data. In many cases, the MongoDB data platform provides enough support for analytics that a data warehouse or a data lake is not required.

Which DB is best for search engine?

As Database Engines ranks, ElasticSearch is the most common solution used by developers in 2022. It is followed by Splunk, Solr, MarkLogic, Algolia, Microsoft Azure Search, Sphinx, ArangoSearch, Virtuoso, and OpenSearch.

Which database is good for flask?

Flask can use SQLite and MySQL as a backend database. We recommend that you use SQLAlchemy as ORM with these relational databases.

Do I need a database if I use an API?

The API is not the database or even the server, it is the code that governs the access point(s) for the server. An API is not a database. It is an access point to an app that can access a database.

What are 3 most common APIs?

Today, there are three categories of API protocols or architectures: REST, RPC and SOAP.

Does data lake use SQL?

SQL is being used for analysis and transformation of large volumes of data in data lakes. With greater data volumes, the push is toward newer technologies and paradigm changes. SQL meanwhile has remained the mainstay.

Can MongoDB be a data lake?

MongoDB Atlas Data Lake is a new form of tool that can help structure data stored in Data Lakes and is what we'll be looking at here. MongoDB is already used by many businesses globally for their non-relational data platform, and is expanding their tool set to give more power to utilize unstructured data.

Can I use MongoDB as a data lake?

Data Lake is fully managed and integrated into the MongoDB developer data platform. It can be provisioned alongside your Atlas Database with no infrastructure to set up or manage and no storage capacity to predict, making the user experience, administration, and support elements painless.

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