The Internet is a rich source of data and information in the world that is easy to acquire. This data includes images, PDF, text, audio, and video. To acquire the data it is necessary to scrape it. In this tutorial, we are going to learn about scraping images with python from a website.
- Web Scraping With Python Github
- Introduction To Web Scraping With Python Pdf
- Intro To Web Scraping With Python And Beautiful Soup
- Introduction To Web Scraping With Python Answers
Jul 02, 2020 Introduction. D ata has become the most valuable currency and precious commodity these days and the way you use it will differentiate you from ordinary people. You need to be smart enough to earn this data which is available everywhere around you and in this article you will be able to learn an easy way to get the tabular data from any website using a single line in python. Sep 28, 2017 With that caution stated, here are some great Python tools for crawling and scraping the web, and parsing out the data you need. Let's kick things off with pyspider, a web-crawler with a web-based user interface that makes it easy to keep track of multiple crawls. It's an extensible option, with multiple backend databases and message. Nov 08, 2018 There are different ways of scraping web pages using python. In my previous article, I gave an introduction to web scraping by using the libraries:requests and BeautifulSoup. However, many web pages are dynamic and use JavaScript to load their content. These websites often require a different approach to gather the data. Web Scraping with Python: Collecting More Data from the Modern Web — Book on Amazon. Jose Portilla's Data Science and ML Bootcamp — Course on Udemy. Easiest way to get started with Data Science. Covers Pandas, Matplotlib, Seaborn, Scikit-learn, and a lot of other useful topics. Web-scraping is an important technique, frequently employed in a lot of different contexts, especially data science and data mining. Python is largely considered the go-to language for web-scraping, the reason being the batteries-included nature of Python. With Python, you can create a simple scraping script in about 15 minutes and in under 100 lines of code.
In this tutorial, we are going to learn:
- What is Web Scraping
- Uses of Web Scraping
- Implementation
What is Web Scraping
Web scraping is the process of automatically extracting or mining data and information from the World Wide Web (WWW) using the Hypertext Transfer Protocol (HTTP). It is the process of collecting unstructured data from a webpage and storing it into a structured format.
Video
Implementation
Here we are going to write a program that will help in scraping images with python and its respective alt tag value from a website. The website which we are going to use is https://www.freepik.com/
Using this program you can create your own dataset from tasks, such as:
- Image classification
- Image captioning
- Text to Image generation and many more
First we will imports all the required libraries and the functions.
Next we are going to write a function that will helps us to create a directory if it does not exist.
Now, we are going to write a function that will helps us to create an empty CSV file. This CSV file is going to store the path of the image and its respective alt attribute information.
Now we will start working on the main function called save_image. This function save_image takes the search_term and page_num as the parameters.
The search_term is used to search the images on the website and we are going to extract these images and alt attribute information. The page_num indicate the current page number, you can use this variable to go to the requrired page and this will help us to extract the images from the multiple pages.
Let us understand the functionality of the save_image function in detail.
The url consists of the search_term and page_num variable and other paramaters and this url is address to the content from where we are goint to extract the images.
Now we are going to make a GET requests to the url specified above using the requests.get function. The function will return some data in the result variable. After that we check the status code to make sure that we have fetch the entire HTML code from the url.
Web Scraping With Python Github
If the status code is 200, means everything is going good, else their is some problem in fetching the HTML code from the url.
After getting the HTML code, we parse it with the BeautifulSoup library.
Here, we create the proper directory and files for saving the images and alt attribute information. After that we open the file that we have created.
As we have to extract the images url, so we first extract all the anchor tage with the class showcase__link.
Now we check the if there is any img tag inside the anchor tag. If an img tag is found we extract the src of the image. In our case, we are using the data-src attribute, generally the src attribute is used with img tag. We also extract the alt attribute information.
After extracting image url and alt attribute information, we try to save it.
Introduction To Web Scraping With Python Pdf
First we check the alt variable, if it contains any information or it is blank or null. If it contains some information, then we read the image from the src variable containing the image url and then storing the image (numpy array) the image variable.
We take the src variable and extract the image name that we are going to use while saving the image in the appropriate directory and also when writing in the CSV file.
Next, we write the image name and alt attribute information in the CSV file.
After this, we convert the image channels from BGR to RGB format using the cv2.cvtColor function and then save it in the appropriate folder.
Till now we have learned about the main part of the program. Now we will use the save_image function to extract and save image and alt attribute information.
The program will save the images and alt attribute information for all the three terms in the appropriate directories and in the CSV file. the CSV file for a search term will be inside the search term directory.
Conclusion
This is all about scraping images with python. I hope that you find this tutorial useful and make sure that you also subscribe to my YouTube channel.
Intro To Web Scraping With Python And Beautiful Soup
More:
Introduction To Web Scraping With Python Answers
- U-Net segmentation: https://idiotdeveloper.com/unet-segmentation-in-tensorflow/
- Polyp segmentation using U-Net: https://idiotdeveloper.com/polyp-segmentation-using-unet-in-tensorflow-2/
- Convolutional autoencoder in TensorFlow 2.0: https://idiotdeveloper.com/building-convolutional-autoencoder-using-tensorflow-2/