This post is part of the FastAPI series. This is another post related to FastAPI(indirectly) in which I am going to discuss how to use GraphQL based APIs to access and manipulate data. I already have discussed how you can make Rest API in the FastAPI framework in the previous post. We will be learning some basics of GraphQL and how graphene helps us to use Python for writing a GraphQL based application. So, let’s get started! What is GraphQL From the official website: GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of…
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Getting started with GraphQL in Python with FastAPI and Graphene
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Getting started with FastAPI and MySQL
Learn how to create Db driven Rest APIs in FastAPIThis post is part of the FastAPI series. In the first post, I introduced you to FastAPI and how you can create high-performance Python-based applications in it. In this post, we are going to work on Rest APIs that interact with a MySQL DB. We will also be looking at how we can organize routers and models in multiple files to make them maintainable and easier to read. FastAPI does not strict you to use a certain database framework. You may use SQLAlchemy or any other you want. I’d prefer to use peewee since it’s more expressible and easier to use. Installing Peewee and MySQL Drivers Before start using MySQL…
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Create your first REST API in FastAPI
A step by step guide creating high performance APIs in PythonThis post is part of the FastAPI series. In this post, I am going to introduce FastAPI: A Python-based framework to create Rest APIs. I will briefly introduce you to some basic features of this framework and then we will create a simple set of APIs for a contact management system. Knowledge of Python is very necessary to use this framework. Before we discuss the FastAPI framework, let’s talk a bit about REST itself. From Wikipedia: Representational state transfer (REST) is a software architectural style that defines a set of constraints to be used for creating Web services. Web services that conform to the REST architectural style, called RESTful Web services,…
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Create Ebay Scraper in Python using Scraper API
Learn how to create an eBay data scraper in Python to fetch item details and price.In this post of ScrapingTheFamous, I am going o write a scraper that will scrape data from eBay. eBay is an online auction site where people put their listing up for selling stuff based on an auction. Like before, we will be writing the two scripts, one to fetch listing URs and store in a text file and the other to parse those links. The data will be stored in JSON format for further processing. I will be using Scraper API service for parsing purposes which makes me free from all worries blocking and rendering dynamic sites since it takes care of everything. The first script is to fetching listings of a category.…
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Create Amazon Scraper in Python using Scraper API
Learn how to create an Amazon scraper in python to scrape product details like price, ASIN etcIn this post of ScrapingTheFamous, I am going o write a scraper that will scrape data from Amazon. I do not need to tell you what is Amazon. You are here because you already know about it 🙂 So, we are going to write two different scripts: one would be fetch.py that would be fetching URLs of individual listings and save in a text file. Later another script, parse.py that will have a function taking an individual listing URL, scrape data, and save in JSON format. I will be using Scraper API service for parsing purposes which makes me free from all worries blocking and rendering dynamic sites since it…
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Getting started with Apache Avro and Python
Learn how to create and consume Apache Avro based data for better and efficient transfer.In this post, I am going to talk about Apache Avro, an open-source data serialization system that is being used by tools like Spark, Kafka, and others for big data processing. What is Apache Avro According to Wikipedia: Avro is a row-oriented remote procedure call and data serialization framework developed within Apache’s Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format. Its primary use is in Apache Hadoop, where it can provide both a serialization format for persistent data, and a wire format for communication between Hadoop nodes, and from client programs to the Hadoop services. Avro uses a schema…
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Create your first REST API in Django Rest Framework
A step by step guide creating APIs in Django Rest FrameworkIn this post, I am going to talk about Django Rest Framework or DRF. DRF is used to create RESTful APIs in Django which later could be consumed by various apps; mobile, web, desktop, etc. We will be discussing how to install DRF on your machine and then will be writing our APIs for a system. Before we discuss DRF, let’s talk a bit about REST itself. What is Rest From Wikipedia Representational state transfer (REST) is a software architectural style that defines a set of constraints to be used for creating Web services. Web services that conform to the REST architectural style, called RESTful Web services, provide interoperability between…
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Create your first web scraper with ScrapingBee API and Python
Learn how to use cloud based Scraping API to scrape web pages without getting blocked.In this post, I am going to discuss another cloud-based scraping tool that takes care of many of the issues you usually face while scraping websites. This platform has been introduced by ScrapingBee, a cloud-based Scraping tool. What is ScrapingBee If you visit their website, you will find something like below: ScrapingBee API handles headless browsers and rotates proxies for you. As it suggests, it is offering you all the things to deal with the issues you usually come across while writing your scrapers, especially the availability of proxies and headless scraping. No installation of web drivers for Selenium, yay! Development ScrapingBee is based on REST API hence it can…
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Develop AirBnb Parser in Python
Planning to write a book about Web Scraping in Python. Click here to give your feedback So I am starting a new scraping series, called, ScrapeTheFamous, in which I will be parsing some famous websites and will discuss my development process. The posts will be using Scraper API for parsing purposes which makes me free from all worries blocking and rendering dynamic sites since Scraper API takes care of everything. Anyways, the first post is about Airbnb. We will be scraping some important data points from it. We will be scraping a list of rental URL and fetch and store data in JSON format. So let’s start! The URL we…
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Advanced Proxy Use for Web Scraping
Guest Post by Vytautas Kirjazovas from Oxylabs.io In the eyes of many, web scraping is an art. It is safe to state that the majority of web scraping enthusiasts have faced bans from websites more than once during their careers. Web scraping is a challenging task, and it’s more common than you think to see your crawlers getting banned by websites. In this article, we’ll talk about more advanced ways to use proxies for web scraping. There are some key components that you should take into account with web scraping to avoid getting banned too quickly: Set browser-like headers User-Agent that can be found in real life. Referer header. Other…
