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WEB SCRAPING
Dmytro Nekh
- Data scraping
- Types of data scraping
- Web scraping
- Process of web scraping
Data scraping
Data scraping - is a technique in which a computer
program extracts data from human-readable output
coming from another program.
Types of data scraping
Screen scraping is the method of collecting screen display data from
one application and translating it so that another application is able to
display it.
Report mining is the extraction of data from human readable
computer reports.
Web scraping is a web technique of extracting data from the web, and
turning unstructured data on the web (including HTML formats) into
structured data that you can store to your local computer or a
database.
Types of data scraping
Screen scraping is the method of collecting screen display data from
one application and translating it so that another application is able to
display it.
Report mining is the extraction of data from human readable
computer reports.
Web scraping is a web technique of extracting data from the web, and
turning unstructured data on the web (including HTML formats) into
structured data that you can store to your local computer or a
database.
Manual scraping: Copy-paste technique
Text Pattern Matching
This is a regular expression-matching technique using the UNIX grep
command, and clubbed with popular programming languages
message = 'Call me at 415-555-1011 tomorrow. 415-555-9999 is my office.'
for i in range(len(message)):
chunk = message[i:i+12]
if isPhoneNumber(chunk):
print('Phone number found: ' + chunk)
Computer vision web-page analysis
There are efforts using machine learning and
computer vision that attempt to identify and extract
information from web pages by interpreting pages
visually as a human being might.
Vertical Aggregation
Vertical aggregation platforms are created by companies with huge
computing power, targeting a specific verticals. Some even run these
data harvesting platforms on the cloud. Creation and monitoring of bots
for specific verticals is done by these platforms, with virtually no human
intervention. Since the bots are created automatically based on the
knowledge base for the specific vertical, the efficiency of the bots is
measured by the quality of data extracted.
HTML Parsing
HTML parsing is done using Java scripts, and targets linear or nested HTML pages. This fast and
robust method is used for text extraction, link extraction (for example, nested links or email
addresses), resource extraction, and so on.
DOM Parsing
Document Object Model, or
DOM, defines the style,
structure and the contents
contained within the XML
files. DOM parsers are
generally used by scrapers
that want to get an in-depth
view of the structure of the
web page. One can use the
DOM parser to get the nodes
containing information, and
then use a tool like XPath to
scrape web pages.
Simple DOM Parser
Simple DOM Parser
Tools for web scraping
- Selenium
- Import.io
- Phantom.js
- Scrapy
- etc.
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Learn SQL from basic queries to Advance queries
 

web-scraping-170522083556.pdf.....mmm...

  • 2. - Data scraping - Types of data scraping - Web scraping - Process of web scraping
  • 3. Data scraping Data scraping - is a technique in which a computer program extracts data from human-readable output coming from another program.
  • 4. Types of data scraping Screen scraping is the method of collecting screen display data from one application and translating it so that another application is able to display it. Report mining is the extraction of data from human readable computer reports. Web scraping is a web technique of extracting data from the web, and turning unstructured data on the web (including HTML formats) into structured data that you can store to your local computer or a database.
  • 5. Types of data scraping Screen scraping is the method of collecting screen display data from one application and translating it so that another application is able to display it. Report mining is the extraction of data from human readable computer reports. Web scraping is a web technique of extracting data from the web, and turning unstructured data on the web (including HTML formats) into structured data that you can store to your local computer or a database.
  • 7. Text Pattern Matching This is a regular expression-matching technique using the UNIX grep command, and clubbed with popular programming languages message = 'Call me at 415-555-1011 tomorrow. 415-555-9999 is my office.' for i in range(len(message)): chunk = message[i:i+12] if isPhoneNumber(chunk): print('Phone number found: ' + chunk)
  • 8. Computer vision web-page analysis There are efforts using machine learning and computer vision that attempt to identify and extract information from web pages by interpreting pages visually as a human being might.
  • 9. Vertical Aggregation Vertical aggregation platforms are created by companies with huge computing power, targeting a specific verticals. Some even run these data harvesting platforms on the cloud. Creation and monitoring of bots for specific verticals is done by these platforms, with virtually no human intervention. Since the bots are created automatically based on the knowledge base for the specific vertical, the efficiency of the bots is measured by the quality of data extracted.
  • 10. HTML Parsing HTML parsing is done using Java scripts, and targets linear or nested HTML pages. This fast and robust method is used for text extraction, link extraction (for example, nested links or email addresses), resource extraction, and so on.
  • 11. DOM Parsing Document Object Model, or DOM, defines the style, structure and the contents contained within the XML files. DOM parsers are generally used by scrapers that want to get an in-depth view of the structure of the web page. One can use the DOM parser to get the nodes containing information, and then use a tool like XPath to scrape web pages.
  • 14. Tools for web scraping - Selenium - Import.io - Phantom.js - Scrapy - etc.