Data Scrapers And Data Scraping
The developers of Zealous System have created an effective python script for food receipe data parsing which helps to parse data in multiple formats like schema.org, icrodata, microformat and RDFa.

Data Scrapers and Data Scraping


Service Offerings:-
    Blog Scrapping
  • Extract and display blog title and its description
  • XML Parsing
  • Blog RSS Feeds Parsing
  • eTag Parser
  • Feedparser
    Social Media Scrapping
  • Tracks and compare brand performance on Facebook, Twitter
  • Scrap public data from Facebook and Twitter
  • Facepy library for Facebook

    Ecommerce Scraping
  • Scrap data from html pages of ecommerce sites
  • Display data from xml
  • Store and update data via cron job
  • Scrapping linked pages
    Data Parsing for Food Recipes
  • Parse data via RSS feeds
  • Scrap data from websites
  • Manage multiple formats

Data scraping is used to extract information from websites. Web scraping can be used for multiple purposes like online price comparison, weather data monitoring, web data integration etc.

There are many Python libraries for data scraping and each are for different purposes and motives. Some of the widely used python library are

  • BeautifulSoup library
  • Facepy
  • eTag
  • Feedparser


Out of this, BeautifulSoup is the one with multiple features that can be used for various websites and business objectives.

    Features of BeautifulSoup
  • Parse Anything
  • Pulls Data From Html And Xml Files
  • Navigate, Search And Modify Parse Tree
  • Converts Incoming Documents To Unicode
  • Converts Outgoing Documents To Utf-8

Facepy is also used for data scraping. But facepy is specially used for scraping data from Facebook. Using facepy it becomes easy to interact with Facebook APIs. Using facepy, we can:-

  • Get latest posts, upload photos
  • get list of friends
  • no. of likes
  • parse signed request
  • get a SignedRequest object
  • Print the Facebook ID and OAuth access token of the user that generated the signed request
  • collect feed data

Feedparser is a Python library. It is used to parse feeds in format likes Atom, RSS, and RDF. It is easy to use.

Features of Feedparser:-

  • auto-detect date format and parse it
  • sanitizes embedded markup to remove things that could constitute security risk
  • sanitization includes HTML, SVG, MathML and CSS Sanitization
  • content normalization
  • namespace handling
  • autodetect type and version of feeds it parses
  • character encoding detection

Scrapy is a web crawling framework used to crawl websites and extract structured data from web pages.

    Benefits of using Scrapy
  • Open Source
  • Portable
  • Written In Python
  • Uses Twisted-A Python Networking Engine To Obtain Hostnames, Send Mail, Monitor And Control Crawler Using Web Service.
  • And Also Uses Lxml-A Python Xml And Html Parser To Parse Xml And Html Pages

The developers of Zealous System have created an effective python script for food receipe data parsing which helps to parse data in multiple formats like schema.org, icrodata, microformat and RDFa. It auto detects the format type and accordingly parses the snippets and generate content in Drupal.


It auto detects the format type and accordingly parses the snippets and generate content in Drupal.



Case Study



GPS tracking and Viewpoint python script, for farming and seed management
Technology  Python Django framework

Project was completed on time

Mr. Gerard Shaw
CEO Listo ltd


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