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Scraping images and getting contents from an image using Scrapy and PyTesser
Today's world scraping data from websites is not so complicated as it used to be. We are using these scraped data for many purposes. There are many tools available for doing this job. In some extream cases, we need to fetch data (text characters) from the image itself. There are many tools available on the internet, Scrapy along with PyTesseract is one of the best combos we can work with.
Using Scrapy we can get whatever images from the internet and give this images as the input to PyTesseract. Pytesseract gives the text contents of the image as text data.we can simply use this data.
Usage of Scrapy:
Scrapy is an open source web crawling framework, designed for web scraping. It crawls websites and extracts structured data from their pages. We can write a spider for getting images from the website.
- Selenium - A WebDriver using a real browser.
- Beautiful Soup - Python library to get data out of HTML and XML files.
Usage of PyTesseract:
PyTesseract is an Optical Character Recognition module for Python. It uses a Tesseract OCR engine. It takes image or image file as an input and output a string.
Pillow, is a Python Image Library. We can use Pillow to open an image to feed pytesseract.
pip install Pillow
An example code to fetch data from the image.
Example text fetched from image:
- Fast, simple and extensible Web scraping
framework in Python
Currently compatible only with Python 27
In-progress Python 3 support
Maintained by Scrapi nghub