Top Web Scraper Tools to Extract Online Data
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Data is a very important advantage in an organization, and data scraping permits efficient data extraction of these assets from different web resources. Web extraction helps in changing unstructured data into well-structured data that could be further utilized to scrape insights.
In this blog, we have listed the top web scraper tools to extract online data:
Beautiful Soup
Beautiful Soup is the Python library that pulls data out of XML and HTML files. This is primarily designed for different projects including screen-scraping. The library offers easy methods as well as Pythonic idioms to navigate, search, and modify a parsing tree. It automatically transforms incoming documents into Unicode as well as outgoing documents into UTF-8.
Selenium
Selenium Python is an open-source and web-based automation tool that offers an easy API for writing functional or approval tests with Selenium WebDriver. Selenium is the set of online scraping tools, all with different approaches to support test automation. All these tools result in a rich array of testing functions specially geared for the testing requirements of all kinds of web applications. Using Selenium Python API, users can access different functionalities of a Selenium WebDriver in a natural way. The presently supported Python versions include Python 2.7, 3.5 as well as above.
MechanicalSoup
MechanicalSoup is the Python library used to automate interactions with websites. The library automatically saves as well as sends cookies, monitors redirect as well and can follow different links as well as submit forms. MechanicalSoup offers a similar API, created on Python giants Requests (with HTTP sessions) as well as BeautifulSoup (with document navigation). Although this online website scraper has been unmaintained for many years because it doesn’t support Python 3.
LXML
The LXML is the Python online web scraper with C libraries libxslt and libxml2. It is identified as amongst the feature-enriched as well as easy-to-use libraries to process HTML and XML in the Python language. This is unique as it associates XML feature and speed of the libraries having the simplicity of the native Python API as well as it is mainly compatible but greater to a well-known ElementTree_API.
Scrapy
Scrapy is an open-source as well as a collaborative framework to extract the data any user requires from different websites. Transcribed in Python, Scrapy is a quick high-level data extraction and mining framework from Python. This can be utilized for an extensive range of objectives, from data extraction to monitoring and automated testing. This is an application framework to write web spiders, which crawl websites as well as scrape data from them. These spiders are classes, which a user describes and Scrapy utilizes Spiders to extract data from one website or a website group.
Python Requests
Python Requests is perhaps the sole Non-GMO HTTP library used for Python language. This helps a user in sending HTTP/1.1 requests as well as there is no need to physically add any query strings in your URLs, or form-encode the POST data. You can have many feature supports like auto decompression, browser-style SSL verification, HTTP(S) proxy support, auto content decoding, and more. Requests publicly support Python 2.7 and 3.4–3.7 as well as run on PyPy.
Urllib
The urllib is the Python package that could be used to open URLs. It assembles several modules to work with URLs like urllib.request to open and read URLs that are mainly HTTP, urllib.error modules define the exclusion classes for exclusions upraised by urllib.request, the urllib.parse module outlines a standard interface for breaking URL (Uniform Resource Locator) executes in components as well as urllib.robotparser offers one class, RobotFileParser, that answers questions regarding whether or not any particular user agents can fetch the URLs on a website that published a robots.txt file.
Dexi
Dexi is a popular web scraping tool that provides users with precise data extraction. Aside from data extraction, this online scraping tool facilitates monitoring, interactivity, and data processing. Furthermore, it delivers quantitative insights into the material, allowing the firm to make better business decisions and enhance its overall operations.
Mozenda
Mozenda is another web scraping tool that offers data extraction services. Users can access these services both on-premises and in the cloud. Furthermore, it allows users to compile data for a variety of functions, including marketing and finance.
Nanonets
Nanonets provides a strong OCR API that can scrape webpages with 100% accuracy. It detects photos, tables, text, and characters with excellent accuracy. What sets Nanonets apart from other solutions is their ability to automate web scraping through automated workflows. Users can create workflows to scrape webpages automatically, prepare the retrieved data, and export the scraped data to 500+ integrations with the touch of a button.
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