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Create your first web scraper with Scraper API and Python

by Ali Haider
proxy api for web scraping

Web scraping is one of the most powerful tools in a developer’s toolbox. It can help you collect data from any website and use it to create new applications or make decisions based on the collected data. But to do this, you need a web scraper—a piece of software that extracts data from websites. Python is one of the most popular programming languages when it comes to web scraping, and Scraper API is a powerful web scraping tool you can use with Python. In this blog post, we’ll walk you through how to create your first web scraper with Scraper API and Python so that you can start collecting valuable data for your projects.

What is web scraping?

Web scraping is the process of extracting data from websites. It can be done manually, but it is usually more efficient to use a web scraper. A web scraper is a piece of software that automates the process of extracting data from websites.

There are many reasons why you might want to scrape data from a website. For example, you might want to collect data about products from an online store, or gather data about users from a social media website. Whatever your reason, there are many ways to do it.

One way to scrape data is to use a web scraping API such as Scraper API. Scraper API is a tool that makes it easy to scrape websites. It handles all the complexity of dealing with proxies, browsers, and CAPTCHAs so you can focus on getting the data you need.

Why scrape the web?

The web is full of useful data, but it’s often unstructured and scattered across different sources. Scraping the web can help you extract this data and structure it in a way that’s more useful for your purposes.

There are many reasons why you might want to scrape the web. Maybe you’re trying to collect data for a research project, or you need to gather information from a large number of sources for a business intelligence project. Whatever your reason, scraping can save you a lot of time and effort compared to manually collecting data from the web.

Scraper API is a great tool for building web scrapers. It handles all of the details of downloading pages and extracting data, so you can focus on writing your scraper logic. Plus, scraper api proxy rotates IP addresses automatically, so you don’t have to worry about getting blocked by websites.

If you’re new to scraping, check out our tutorial on how to create your first web scraper with Scraper API and Python.

The different types of web scrapers

There are a few different types of web scraping, each with its own strengths and weaknesses.

The most basic type is manual scraping, which is where you manually extract data from websites using tools like the Chrome Developer Tools. This is the slowest and most tedious method, but it can be useful for small scale projects.

The next step up is automated web scraping, which is where you use a tool to automatically extract data from websites. This can be done using a custom-built scraper or by using an off-the-shelf tool like Scraper API. Automated web scraping is much faster and more efficient than manual web scraping, but it can be more expensive.

The final type of web scraping is screen scraping, which is where you scrape data from the rendered HTML of a website (i.e. what you see on the screen). This method is generally used for extracting data from legacy systems that don’t have an API. Screen scraping can be very brittle and unreliable, but it’s often the only way to get data out of these systems.

Setting up Scraper API

Assuming you have Python installed, Scraper API is very easy to set up. You can install the library using pip:

pip install scraperapi

Once installed, you will need to sign up for a Scraper API account. After signing up, you will be given an API key. With your API key, you can make 1000 requests per month for free. If you need more than 1000 requests per month, you can purchase a plan.

With Scraper API installed and your API key handy, you are ready to start scraping websites. In this article, we will scrape the website IMDB.com.

Creating your first scraper

In this section, we’ll show you how to create your first web scraper using the Scraper API and Python. We’ll go over the different parts of the Scraper API and how to use them to scrape data from websites. We’ll also show you how to save the scraped data to a CSV file.

Advanced features of Scraper API

Scraper API is a tool that enables you to scrape websites easily and effectively. It has many advanced features that make it a powerful tool for web scraping.

Some of the advanced features of Scraper API include:

– The ability to handle cookies and sessions automatically, so you can scrape websites that require login or other forms of authentication.
– Proxy support, so you can route your requests through proxies to avoid being blocked by website owners.
– IP rotation, so you can rotate your IP address to avoid being detected and blocked by websites.
– Support for Javascript rendering, so you can scrape dynamic content that is generated by Javascript.
– A simple and effective API that makes it easy to get started with web scraping.

How to create a web scraper with Scraper API and Python

Python has many web scraping libraries, but ScraperAPI is one of the simplest to use. It has a free plan that allows up to 10,000 requests per month.

To get started sign up for a ScraperAPI account and then head over to their quick start guide. The guide will walk you through installing the scraper api library and setting up your first scrape. Once you have the basic scrape working, you can start tweaking it to fit your needs.

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The first thing you’ll need to do is install the scraper api library. You can do this using pip:

pip install scraperapi

Once the library is installed, you can import it into your python script:

import scraperapi

Now that you have the library imported, you need to set up your ScraperAPI key. You can find this in your ScraperAPI dashboard under ” Your API Key “. Copy and paste this key into your script:

scraperapi_key = ‘YOUR_KEY_HERE’

With your key set up, you can make your first scrape request. The following code will fetch the HTML of google.com:

html = scraperapi.scrape(‘http://www.google.com’)

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Tips for using Scraper API

If you’re new to web scraping, Scraper API is a great place to start. Here are some tips for using Scraper API to get the most out of your web scraping experience:

1. Use the right tools: While you can use any language or tool to make requests to Scraper API, we recommend using our Python SDK. It’s easy to install and use, and it’ll make your life a lot easier when working with Scraper API.

2. Understand how Scraper API works: Before you start making requests, it’s important to understand how Scraper API works. When you make a request, our servers will send that request to the target website on your behalf. We’ll then return the response from the website back to you. This process is called “proxying.”

3. Know what data you want: It’s important to know what type of data you want before making a request. That way, you can structure your request in a way that will return the data you need. For example, if you want to scrape product data from an e-commerce site, you’ll need to structure your request accordingly


Scraping web data with Python and Scraper API is a great way to get up and running quickly. With their powerful features, you can create effective scripts that scrape the required data in no time. That said, learning how to use both Python and Scraper API correctly can take some time; however, investing your efforts will pay off greatly as it gives you access to huge amounts of valuable web data. Experiment with different levels of complexity until you find the right approach for your project!

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