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Chaity R.Technical Translator, India
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Articles Related To Web Research


What is a web scraping?

Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.

Web scraping a web page involves fetching it and extracting from it. Fetching is the downloading of a page (which a browser does when you view the page). Therefore, web crawling is a main component of web scraping, to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be to find and copy names and phone numbers, or companies and their URLs, to a list (contact scraping).

 

What you can do with data scraping?

Web scraping is used for content scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration.

Using data scraping you can build sitemaps that will navigate the site and extract the data. Using different type selectors you will navigate the site and extract multiple types of data - text, tables, images, links and more.

 

What role scraper should play for you?

Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions. Current web scraping solutions range from the ad-hoc, requiring human effort, to fully automated systems that are able to convert entire web sites into structured information, with limitations.

 

Below are the ways for scraping data:

  • Human Copy Paste : Sometimes even the best web-scraping technology cannot replace a human’s manual examination and copy-and-paste, and sometimes this may be the only workable solution when the websites for scraping explicitly set up barriers to prevent machine automation.
  • Text Pattern Matching : A simple yet powerful approach to extract information from web pages can be based on the UNIX grep command or regular expression-matching facilities of programming languages
  • HTTP programming : Static and dynamic web pages can be retrieved by posting HTTP requests to the remote web server using socket programming.
  • HTML parsing : Many websites have large collections of pages generated dynamically from an underlying structured source like a database. Data of the same category are typically encoded into similar pages by a common script or template. In data mining, a program that detects such templates in a particular information source, extracts its content and translates it into a relational form, is called a wrapper. Wrapper generation algorithms assume that input pages of a wrapper induction system conform to a common template and that they can be easily identified in terms of a URL common scheme.Moreover, some semi-structured data query languages, such as Xquery and the HTQL, can be used to parse HTML pages and to retrieve and transform page content.
  • DOM parsing: By embedding a full-fledged web browser, such as the Internet Explorer or the Mozilla browser control, programs can retrieve the dynamic content generated by client-side scripts. These browser controls also parse web pages into a DOM tree, based on which programs can retrieve parts of the pages.
  • Vertical aggregation : There are several companies that have developed vertical specific harvesting platforms. These platforms create and monitor a multitude of “bots” for specific verticals with no "man in the loop" (no direct human involvement), and no work related to a specific target site. The preparation involves establishing the knowledge base for the entire vertical and then the platform creates the bots automatically. The platform's robustness is measured by the quality of the information it retrieves (usually number of fields) and its scalability (how quick it can scale up to hundreds or thousands of sites). This scalability is mostly used to target the Long Tail of sites that common aggregators find complicated or too labor-intensive to harvest content from.
  • Semantic annotation recognizing : The pages being scraped may embrace metadata or semantic markups and annotations, which can be used to locate specific data snippets. If the annotations are embedded in the pages, as Microformat does, this technique can be viewed as a special case of DOM parsing. In another case, the annotations, organized into a semantic layer,are stored and managed separately from the web pages, so the scrapers can retrieve data schema and instructions from this layer before scraping the pages.
  • 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 would.

 

Key Features of Web Scraping

In order to remain competitive, businesses must be able to act quickly and assuredly in the markets. Web Scraping plays a big role in the development of various business organizations that use the services. 

The benefits of these services are: 

  1. Low Cost: Web Scraping service saves hundreds of thousands of man-hours and money as the use of scraping service completely avoids manual work.
  2. Less Time: Scraping solution not only helps to lower the cost, it also reduces the time involved in data extraction task. This tool ensures and gathers fast results required by people.
  3. Accurate Results: Web Scraping solutions help to get the most accurate and fast results that cannot be collected by human beings. It generates correct product pricing data, sales leads, duplication of online database, captures real estate data, financial data, job postings, auction information and many more.
  4. Time to Market Advantage: Fast and accurate results help businesses to save time, money and labor and get an obvious time-tomarket advantage over the competitors.
  5. High Quality: A Web Scraping solution provides access to clean, structured and high quality data through scraping APIs so that the fresh data can be integrated into the systems.

Finding and hiring expert scraper/crawler

It’s important to note that not all scraper will be ideal fits for every project. For example, those with highly analytical backgrounds in software engineering would be ideal for developing algorithms but may not be the right fit for a data scraping project. That’s why it’s so important to understand what type of scraping expert will bring the most benefit to your company and business goals.

Here are some questions to consider:

What is the overall learning you hope to find? 

By including your goal in the project description, it allows professionals to better understand what type of work is required.

 

What core skills will scraping experts need to complete the project? 

The answer will revolve around your current data infrastructure and the processes used to extract information.

 

Would you benefit from someone with highly specialized skills in a few areas of data scraping, or would a well-rounded expert serve you better?

 

Are there any time constraints to consider with this project?

Let professionals know the amount of hours of work that might be involved.

 

What kind of budget will this project have? 

The more experience and expertise a data scraper has, the higher they expect to be compensated. Higher budgets will more likely give top-tier experts a reason to submit a proposal.

 

Web scraping project template

Below is a sample of how a project description may look. Keep in mind that many people use the term “job description,” but a full job description is only needed for employees. When engaging a freelancer as an independent contractor, you typically just need a statement of work, job post, or any other document that describes the work to be done.

<Job/Project Title>

ABC Company is looking for a web scraping expert to help us study our website traffic patterns and find areas of improvement. This project is estimated to require approximately 20-25 hours per week for the next few months to achieve the following goals

  • Reporting findings in a weekly summary
  • Split testing underperforming pages and recording results
  • Discovering which pages currently perform best
  • Organizing site data into spreadsheets

The following skills are required:

The ideal freelancer will be a creative problem solver with an excellent work history on Toogit. To submit a proposal, please send a short summary of similar projects you’ve completed and why we should consider you for this project.

  • Excellent technical abilities
  • Knowledge of quantitative split testing
  • Experience with WordPress and Google Analytics
  • A thorough understanding of MySQL databases
  • Expertise or extensive experience with Python

 

Hiring the right Web Scraping talent

Remember that technical ability is only a small portion of what makes an excellent web scraper. Great web scrapers are inquisitive—they want to ensure that they’re seeking the right types of answers, plus they’ll take an interest in your business to better understand it. The ideal professional will also be able to advise you on additional metrics to analyze and compare in order to help you meet your goals.

Also, keep in mind that communication is always a key consideration in the data science field. A brief interview can allow you to gauge how strong each professional is in expressing ideas and explaining their process. The more you speak to each professional by phone, email, or chat, the better you’ll be able to gauge their professionalism and communication skills and determine whether they’re right for your project.

The importance of extracting information from the web is becoming increasingly loud and clear. Every few weeks, I realize myself in a situation where we need to extract information from the web to create a machine learning model. We have to pull or extract a large amount of information from websites and we would like to do it as quickly as possible. How would we do it without manually going to every web site and getting the data? Web Scraping simply makes this job easier and faster.

Why is web scraping needed?

Web scraping is used to collect large information from websites. But why does someone have to collect such large data from websites? Let’s look at the applications of web scraping: 

  1. Price Comparison: Services such as ParseHub use web scraping to collect data from online shopping websites and use it to compare the prices of products.
  2. Social Media Scraping: Web scraping is used to collect data from Social Media websites such as Twitter to find out what’s trending.
  3. Email address gathering: Many companies that use email as a medium for marketing, use web scraping to collect email ID and then send bulk emails.
  4. Research and Development: Web scraping is used to collect a large set of data (Statistics, General Information, Temperature, etc.) from websites, which are analyzed and used to carry out Surveys or for R&D.
  5. Job listings: Details regarding job openings, interviews are collected from different websites and then listed in one place so that it is easily accessible to the user.

 

Web scraping is an automated method used to extract large amounts of data from websites. The data on the websites are unstructured. Web scraping helps collect these unstructured data and store it in a structured form. There are different ways to scrape websites such as online Services, APIs or writing your own code.

Why Python is best for Web Scraping

Features of Python which makes it more suitable for web scraping:

  1. Ease of Use: Python is simple to code. You do not have to add semi-colons “;” or curly-braces “{}” anywhere. This makes it less messy and easy to use.
  2. Large Collection of Libraries: Python has a huge collection of libraries such as Numpy, Matlplotlib, Pandas etc., which provides methods and services for various purposes. Hence, it is suitable for web scraping and for further manipulation of extracted data.
  3. Dynamically typed: In Python, you don’t have to define datatypes for variables, you can directly use the variables wherever required. This saves time and makes your job faster.
  4. Easily Understandable Syntax: Python syntax is easily understandable mainly because reading a Python code is very similar to reading a statement in English. It is expressive and easily readable, and the indentation used in Python also helps the user to differentiate between different scope/blocks in the code.
  5. Small code, large task: Web scraping is used to save time. But what’s the use if you spend more time writing the code? Well, you don’t have to. In Python, you can write small codes to do large tasks. Hence, you save time even while writing the code.
  6. Community: What if you get stuck while writing the code? You don’t have to worry. Python community has one of the biggest and most active communities, where you can seek help from.

How does web scraping work

To extract data using web scraping with python, you need to follow these basic steps:

  1. Find the URL that you want to scrape
  2. Inspecting the Page
  3. Find the data you want to extract
  4. Write the code
  5. Run the code and extract the data
  6. Store the data in the required format

Example: Scraping a website to get product details

Pre-requisite:

  • Python 2.x or Python 3.x
  • Selenium Library
  • BeautifulSoup Library
  • Pandas Library
  1. We are going scrape online shopping website to extract the Price, Name, and rating of products, go to products URL
  2. The data is usually nested in tags. So, we inspect the page to examine, under which tag the information we would like to scrape is nested. To inspect the page, just right click on the element and click on “Inspect”. When you click on the “Inspect” tab, you will see a “Browser Inspector Box” open.
  3. Let’s extract the Price, Name, and Rating which is nested in the “div” tag respectively.
  4. Write code:

#Let us import all the necessary libraries

from selenium import webdriver

from BeautifulSoup import BeautifulSoup

import pandas as pd

driver = webdriver.Chrome("/usr/lib/chromium-browser/chromedriver")

products=[] #List to store name of the product

prices=[] #List to store price of the product

ratings=[] #List to store rating of the product

driver.get("Product_URL")

content = driver.page_source

soup = BeautifulSoup(content)

for a in soup.findAll('a',href=True, attrs={'class':'.…'}):

name=a.find('div', attrs={'class': '….'})

price=a.find('div', attrs={'class':'….'})

rating=a.find('div', attrs={'class':'….'})

products.append(name.text)

ratings.append(rating.text)

df = pd.DataFrame({'Product Name':products,'Price':prices,'Rating':ratings})

df.to_csv('products.csv', index=False, encoding='utf-8')

 

To run the code, a file name “products.csv” is created and this file contains the extracted data.

New companies and the entrepreneurial impulse are key elements of the U.S. economy, and perhaps part of the nation’s mythology in the American dream. The U.S. federal agency in 2002 counted around twenty three million companies and nearly twenty four million business “establishments” that generated, in total, nearly $23 billion in sales. That’s if they make it. In a 2006 article entitled, “The Seven Pitfalls of Business Failure,” economic expert Brian Head of the small Business Administration noted that 30% new businesses fail inside the first five years of operation. However with careful coming up with, establishing a new company is a successful and profitable undertaking.

Steps for registering a new company

Choose your Company Location

Your company location determines the taxes, zoning laws, and regulations your company will be subject to. You will need to form a strategic decision regarding which state, city, and neighborhood you select to begin your company in. Where you locate your company depends in part on the location of your target market, business partners, and your personal preferences. In addition, you should consider the costs, benefits, and restrictions of different government agencies.

Choose right Company/Business type

The decision to choosing the right business structure is very important because the type of business you decide on influences everything from daily operations, to taxes, to how much of your personal assets are at risk.

  • Sole proprietorship: A sole proprietorship is easy to form and gives you complete control of your business. You're automatically considered to be a sole proprietorship if you do business activities but don't register as any other kind of business. Sole proprietorship do not produce a separate business entity. This means your business assets and liabilities are not separate from your personal assets and liabilities. You can be held personally liable for the debts and obligations of the business. Sole proprietors can also be hard to raise money because you can't sell stock, and banks are hesitant to lend to sole proprietorship.
  • Partnership: Partnerships are the best structure for two or more people to possess a business together. There are two common forms of partnerships: limited partnerships (LP) and limited liability partnerships (LLP).
    • Limited partnerships have only one general partner with unlimited liability, and all other partners have limited liability. The partners with limited liability also tend to have limited control over the company, which is documented in a partnership agreement.
    • Limited liability partnerships are similar to limited partnerships, but give limited liability to every owner. An LLP protects every partner from debts against the partnership, they won't be responsible for the actions of other partners.
  • Limited liability Company (LLC): LLCs protect you from personal liability in most instances, your personal assets like your vehicle, house, and savings accounts won't be at risk in case your LLC faces bankruptcy or lawsuits. Profits and losses can get passed through to your personal income without facing corporate taxes. LLCs can be a good choice for medium- or higher-risk businesses, owners with significant personal assets they want to be protected, and owners who want to pay a lower tax rate than they would with a corporation.
  • Corporation: The incorporation process is more complicated than the other two options but will have many potential benefits for your on-line business. One of the most notable differences regarding this structure is that the corporation becomes a separate entity from you as the owner. This means you’re not in person financially liable for what happens to the corporation, and your personal assets are protected from the liabilities created by your shop. When your store grows and the liabilities you’re exposed to grow with it this is a huge benefit.

Choose your Company Name

You can find the right business name with creativity and market research. Once you’ve picked your name, you should protect it by registering it with the right agencies.

You’ll want to decide on a business name that reflects your brand identity and doesn’t clash with the types of goods and services you provide. Once you take decision on a name you prefer, you would like to protect it. There are four different ways to register your company name. Every way of registering your name serves a special purpose, and some may be legally required depending on your business structure and location.

  • Entity name protects you at state level
  • Trademark protects you at a federal level
  • Doing Business as (DBA) doesn’t give legal protection, but might be legally required
  • Domain name protects your business web site address

Each of those name registrations are legally independent. Most small businesses try to use an equivalent name for each kind of registration, but you’re not commonly required to.

Register your Company

Register your business to make it a distinct legal entity. How and where you need to register depends on your business structure and business location.

Your location and business structure determine how you’ll need to register your business. Verify those factors first, and registration becomes terribly easy. In some cases, you don’t need to register at all. If you conduct business as yourself using your legal name, you won’t need to register anywhere. But keep in mind, if you don’t register your business, you'll miss out on personal liability protection, legal benefits, and tax benefits.

Most businesses don't need to register with the federal government to become a legal entity, other than simply filing to get a federal tax ID. Small businesses sometimes register with the federal government for trademark protection or tax exempt status. If you would like to trademark your business, brand or product name, file with the United States Patent and Trademark office once you’ve formed your business. If you would like tax-exempt status for a noncommercial corporation, register your business as a tax-exempt entity with the IRS.

Get Employee Identity Number or State Tax ID

Getting an EIN number can help you identify your business entity. Most companies need this federal employee identification number to conduct business. An EIN is a nine-digit number that refers to only your business or non-profit entity. It is your business’s social security number. This number allows the IRS to identify your business and attach it to the correct business name for tax purposes. Just a unique business name is not enough.

Your employer identification number (EIN) is your federal tax ID. You need it to pay federal taxes, hire employees, open a bank account, and apply for business licenses and permits. You should do it right once you register your business. Your business desires a federal tax ID number if it does any of the following:

  • Pays employees
  • Operates as an organization of partnership
  • Files tax returns for employment, excise, or alcohol, tobacco, and firearms
  • Withholds taxes on income, other than wages, paid to a non-resident alien
  • Works with certain types of organizations

The need for a state tax ID number ties directly to whether your business must pay state taxes. Sometimes, you can use state tax ID numbers for other functions, like protection against identity theft for sole proprietors. Tax obligations differ at the state and local levels, so you'll need to check with your state's websites. To know whether you need a state tax ID, research and understand your state's laws regarding income taxes and employment taxes, the two most common forms of state taxes for small businesses.

Apply for Licenses

Most small businesses need a combination of licenses and permits from both federal and state agencies. The requirements and charges vary based on your business activities, location, and government rules.

The licenses and permits you need from the state, county, or city will depend on your business activities and business location. Your business license fees will vary. States tend to regulate a broader range of activities than the centralized. As an example, business activities that are commonly regulated domestically include auctions, construction, and dry cleaning, farming, plumbing, restaurants, retail, and vending machines.

Some licenses and permits expire after a set period of time. Keep close track of when you need to renew them it's usually easier to renew than it has to apply for a new one. You'll have to analysis your own state, county, and city regulations. Industry requirements usually vary by state.

Special Bank Account for your Company

Open a business account once you are ready to start accepting or spending money as your business. A business bank account helps you keep legally compliant and protected. It also provides benefits to your customers and employees. Most business bank accounts provide perks that don't come with a standard personal bank account.

  • Protection: Business banking offers limited personal liability protection by keeping your business funds separate from your personal funds. Merchant services also offer purchase protection for your customers and ensures that their personal information is secure.
  • Professionalism: Customers will be able to pay you with credit cards and make checks out to your business instead of directly to you.
  • Preparedness: Business banking usually comes with the option for a line of credit for the company. This can be used in the event of an emergency, or if your business needs new equipment.
  • Purchasing power: Credit card accounts can help your business make large startup purchases and help establish a credit history for your business.

Get Business Insurance

Business insurance coverage protects businesses from losses due to events that may occur during the normal course of business. There are many types of insurance for businesses including coverage for property damage, legal liability and employee-related risks. Companies evaluate their insurance needs based on potential risks, which can vary depending on the type of environment in which the company operates.

Business insurance protects you from the unexpected costs of running a business. Accidents, natural disasters, and lawsuits could run you out of business if you’re not protected with the right insurance.

Speak to insurance agents to find out what kinds of coverage makes sense for your business, and compare terms and prices to find the best deal for you. Here are six common kinds of business insurance types are:

  • General liability insurance
  • Product liability insurance
  • Professional liability insurance
  • Commercial property insurance
  • Home-based business insurance
  • Business owner’s policy

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