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Angelica E.Data Entry, Web Research, , Philippines
$3 /hr
4 Years Exp.
0 Followers
I have Experienced Data Entry, Web research, uploading file to Zoho CRM, Scrapping Emails and Search Leads using D7 leads.
Nayon G.I am a web research expert..., Bangladesh
$3 /hr
2 Years Exp.
0 Followers
I have experience on web researching. I have 3 years experience from upwork.com .
John Paulino Fernandez Virtual Assistant / Data Entry, Philippines
$5 /hr
7 Years Exp.
0 Followers
I have total of 7 years experience as Office Staff, Data Analyst and Web researcher.
Earl S.Data Entry Specialist Web Research , Philippines
$4 /hr
1 Years Exp.
0 Followers
I am expert in data encoding, web researching and has a 2 years experience on different online platforms , also have a 1 year experience on doing cus...Read More
I am Data Entry expert. I am 18 year old and student of intermediate. I offer wide range of services including, but not to limited,Data Entry,Web rese...Read More
Deepa S.web/Lead Research Analyst, India
$3 /hr
5 Years Exp.
0 Followers
Fully Self Motivated Wiling To Learn And Explore New Things ...having 5 years of experience is various Freelance projects
Nidheesh P.web researcher,system administrator, India
$5 /hr
2 Years Exp.
0 Followers
To work in a well-reputed organization where I can deploy my communication skills, teamwork ability and technical knowledge to work in a challenging e...Read More
Aisha Data Entry, Pakistan
$5 /hr
10 Years Exp.
0 Followers
Do you need a reliable virtual assistant for data entry projects? Yes, you are at the right place. I will do that for you in the least possible time....Read More
Ken V.Freelance typist (data entry), Philippines
$6 /hr
2 Years Exp.
0 Followers
I work under pressure. I am a critical thinker and has a sense of responsibility and adaptability.
Ann Marian Lou E.Data Entry Specialist, Philippines
$2 /hr
2 Years Exp.
0 Followers
I am an experienced data entry worker and web researcher for almost 2 years. I have a working knowledge of MS Office (Excel, Word, etc.), data process...Read More
Joepet Data Entry Specialist, Philippines
$4 /hr
0 Years Exp.
0 Followers
I am well-experienced in excel/google sheets, and word/google docs. I am meticulous in everything I do, I am trustworthy, respectful of deadlines, and...Read More
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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.

In modern online digital world, there are thousands of competitors and everyone has to compete for user attention. How can you differentiate your product from your competitor product? The solution is UX design.

Now a days, the role of UX designer has an interesting and valuable place in business development because user experience designer have a different ideas to create a product and continually look for ways to improving the general experience of the users when they interact with the application or website in order to achieve its objective to provide the maximum customer satisfaction. It keeps customers in mind and creates the basic skeleton of any application. It focuses on the ease of use or wireframing an application and structuring all its elements and components appropriately to create the user flow.

If you have a product or website, no matter how functional, should be understood by a user. The most important step in creating digital product is not only attract visitor but also provide real value to them. If you would like to create a digital product with great user interface and user experience, you need to do a complete researched, and detailed learning to understand your user, and the process of graphic interface design. And you actually need designers to manipulate all these processes. UX design expert have an experience about what your users wants, does, thinks, sees, feels and likes in digital world.

If an app is getting low ratings, bad reviews, and complaints about its usability, or a web site is not generating the expected conversions, it may be time to bring in an UX expert.

Why UX Designer Role is Important

UX is about creating things usable and sensible. UX designers usually spend a lot of time on research and deep data analysis. Depending on the stage of the product and also the quality of the available analytics resources, UX designers draw the proper conclusions as well as make some predictions relating to the product's strengths and weaknesses. UX has involved in element of research, testing, business analysis, project management and wireframing. In the research phase UX designer focus on the end user of the product and the goals of your business and provide a data about what potential customer needed and how to provide the maximum satisfaction to potential customers.

How to hire UX designer?

I am sharing some tips regarding how your business can find and hire the perfect UX Designer to finally improve your usability and conversion rate.

  1. Before going one step towards hiring a UX designer keep in mind that you almost certainly need to hire a UX Designer for increasing the conversion rate of a landing page, to increase sales on the checkout or to boost the onboarding expertise to convert additional trials to paying customers. Write down your main reason and find a right candidate on Toogit.
  2. If you want to find out, Can this UX designer do the job efficiently? Review portfolio, ask questions, and give design exercises. Define your small business task and designer need to do those task before selection, because you need to know, He has to be good at explaining what he does and how something works. Of course you don’t need to understand all the tasks that your designer must do. But you should be ready to tell them your main requirements and expectations.
  3. A good UX designer will always ask a lot of questions about users and how every detail in the product’s functionality is supposed to help add value. If the designer isn’t doing this, you’ve gotten the wrong one.
  4. Post your UX design job post with complete requirement on Toogit. UX Designers on Toogit are highly skilled and talented, hiring UX Designers on Toogit is safe and the money is released to the Freelancer only after you fully satisfied with freelancer's work.

Tips for writing a successful job post

  1. Try to keep the length of the job posting to a single page.
  2. State your expectations and requirements clearly.
  3. What skills do you expect? What tasks and deliverables need to be created?
  4. What is your budget and do you pay by hourly rate or by project completion.
  5. Write a bit regarding your target market and users, why are they interesting to work with.
  6. What challenges would the required Designer need to complete? Why will it be an interesting project to work on?

 

Sample job description

Job title: Need UX Designer to design software and platforms

Job description: 

[Your company short description]

We are searching for an UX Designer to design software system and platforms that meet people’s needs. You’ll combine interfaces and workflows to boost user experience. In this role, you must be an analytical and creative designer who is ready to understand user needs and solve issues. A strong portfolio of successful UX and other technical projects is important. We will pay $25/Hour.

Ultimately, you'll build our product more easy and intuitive to attract and retain customer.

Responsibility:

  1. Create UX deliverables appropriate to the project, including high & low fidelity prototypes, problem analysis, content strategies, user flows, and wireframes.
  2. Understand product specifications and user psychology.
  3. Conduct concept and usability testing and gather feedback.
  4. Define the right interaction model and evaluate its success.
  5. Develop wireframes and prototypes around customer needs.
  6. Work with UI designers to implement attractive designs.
  7. Communicate design ideas and prototypes to developers.

This is a 2 year contract with the possibility for freelancer based on performance.

Project payment will be based on hourly rate.

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.

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