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Web Scraping

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SCRAPING
Web Scraping

We are working a Web Scraper to Extract Data from Websites

We have done the excellent work in web scraping. Our team has specialization to extract the data from dynamic website and IP blocking Websites. Web Scrapers can extract all the data on particular sites or the specific data that a user wants. Ideally, it's best if you specify the data you want so that the web scraper only extracts that data quickly.

Web scraping have very important role in market. Customer can use it for Competitor monitoring, Pricing optimization, Lead generation and Product optimization.

WHAT WE DO
WHAT WE DO

We Use Popular Frameworks and Tools for Scraping

Scrapy

Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.

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Beautiful Soup

Beautiful Soup is a Python package for parsing HTML and XML documents (including having malformed markup, i.e. non-closed tags, so named after tag soup). It creates a parse tree for parsed pages that can be used to extract data from HTML,[3] which is useful for web scraping.

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Selenium

It is also useful for executing Javascript code. Let's say that you want to scrape a Single Page Application. Plus you haven't found an easy way to directly call the underlying APIs. In this case, Selenium might be what you need.

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Requests

Using requests library, we can fetch the content from the URL given and beautiful soup library helps to parse it and fetch the details the way we want. You can use a beautiful soup library to fetch data using Html tag, class, id, css selector and many more ways.

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LXML

lxml is one of the fastest and feature-rich libraries for processing XML and HTML in Python. This library is essentially a wrapper over C libraries libxml2 and libxslt. This combines the speed of the native C library and the simplicity of Python. Using Python lxml library, XML and HTML documents can be created, parsed, and queried. It is a dependency on many of the other complex packages like Scrapy.

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Nodecrawler

he process typically deploys a “crawler” that automatically surfs the web and scrapes data from selected pages. There are many reasons why you might want to scrape data. Primarily, it makes data collection much faster by eliminating the manual data-gathering process. Scraping is also a solution when data collection is desired or needed but the website does not provide an API.

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SERVICES
OTHER SERVICES

We Provide the Best Quality Services

We are technology solutions providing company all over the world doing over 40 years.

OUR TOOLS
OUR TOOLS

We develops our webs & apps by using these tools