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Senior Mobile / Node.js Developer
Lloyd Dsouza

Senior Mobile / Node.js Developer  


GitHub Git AWS 
$28 /hr
India
Angular FrontEnd UI Developer
Navneet Prakash

Angular FrontEnd UI Developer  


GitHub Git Angular 4 
$19 /hr
India
Software Engineer
Santhosh Kailasam

Software Engineer  


GitHub Python Atlassian Jira 
$10 /hr
India
Software engineer
Harshali

Software engineer  


GitHub Git Atlassian Jira 
$3 /hr
India
Senior integration Consultant with cloud enabled technologies like Dell Boomi.
Naveen Kumar

Senior integration Consultant with cloud enabled technologies like Dell Boomi.  


GitHub Oracle Database Architectural Design 
$20 /hr
India
shakib
Shakib Habibi

shakib  


GitHub GitLab Android SDK 
$10 /hr
United States
Looking for roles in Virtual reality development
Jagori Samajdar

Looking for roles in Virtual reality development  


GitHub Git Unity3D 
$25 /hr
India
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In every era, marketing has evolved based on what the customer is using. If you go back in history, you can see that at times when customers used Radio, it gave birth to radio advertising and marketing. Next, we got the boom of televisions, it is one of the widely used device globally, which allowed the companies to reach a mass audience with TV ads. Even today TV advertising is one of the most used advertising strategies for companies. Since the boom of the Internet, more customers started using the Internet, which gave birth to a new era of marketing originally called Internet marketing, which is now called Digital Marketing.

 

Now a days, we frequently hear the term Digital marketing we all think that we reasonably understand what actually it is. This thinking sometimes limits the scope and opportunity that the complete Digital marketing landscape will actually offer, which is why, when it involves nailing it down, we either turn dumbfounded or get stuck. To come out of such scenarios, it is important to know different types of Digital marketing opportunities that are available to your business. According to Salesforce, 75th of Total marketing Budget will head to Digital marketing.

 

Digital marketing depends upon the kinds of audience interactions. It revolves around managing and harnessing of various types of Digital marketing Channels and many varieties of Digital marketing services.

 

Digital marketing encompasses all marketing efforts that use an electronic device or the internet. Businesses leverage digital channels like search engines, social media, email, and their websites to connect with current and prospective customers.

Why companies use digital marketing?

  1. Internet Users: As per the internet usage stats, 40% of the world population is using the internet.
  2. Mobile Phones: Most of the users globally today use mobile phones for communication. As per a report 4.77 billion mobiles phone users globally, which will increase to 5.07 billion by 2019.
  3. Targeting the Audience: In traditional marketing strategies, it is very difficult to advertise to the target audience with specific demographics & details. Today with digital marketing we have so many customised & personalised methods to target the audience exclusively.
  4. Low Cost and High ROI: Most of the small and medium scale companies rely mostly on digital marketing strategies due to its low cost and high return on investment.

Digital Marketing Types

  1. Search Engine Optimisation: SEO is the process of optimising your website to "rank" higher in search engine results pages, thereby increasing the amount of organic (or free) traffic your website receives. The channels that benefit from SEO include Website, Blogs or Info-graphics.
  2. Content Marketing: CM denotes the creation and promotion of content assets for the purpose of generating brand awareness, traffic growth, lead generation, and customers. The channels that can play a part in your content marketing strategy include Blogs posts, Ebooks and whitepaper, info-graphics, online brochures and look-books.
  3. Social Media Marketing: SMM promotes your brand and your content on social media channels to increase brand awareness, drive traffic, and generate leads for your business. The channels you can use in social media marketing include Facebook, Twitter, Instagram, linked In, Snap-chat, or google+.
  4. Pay-Per-Click: PPC is a method of driving traffic to your website by paying a publisher every time your ad is clicked. One of the most common types of PPC is Google AdWords, which allows you to pay for top slots on Google's search engine results pages at a price "per click" of the links you place. Other channels where you can use PPC include Paid ads on Facebook, Promoted Tweets on Twitter.
  5. Email Marketing: Companies use email marketing as a way of communicating with their audiences. Email is often used to promote content, discounts and events, as well as to direct people toward the business's website.

Digital Marketing Strategies

Here is a list of five simple digital marketing strategies that any business owner can implement to help their business grow:

  1. Setting a goal: Digital marketing is a great way for small businesses to prosper, but going into the method blindly can leave you with a jumbled mess. A lot of strategy and precision goes into digital marketing and having a goal helps you recognise what to focus on.
  2. Creating a Marketing Funnel: The most successful businesses have a good marketing funnel in place. A marketing funnel is when you map out a customer’s journey from when a customer is a complete stranger to once they become a lead, then put certain methods in place that may encourage them to move through this funnel. Things like lead magnets, calls to action, opt-ins and offers are all effective pieces of a funnel. You’ll consider a marketing funnel in four parts: Awareness, Interest, Desire, and Action.
  3. Developing a call-to-action: A call-to-action (CTA) is a picture or text that prompts visitors to take action, like subscribe to a newsletter, read a webinar or request a product demo. CTAs should direct people to landing pages, wherever you'll collect visitors’ contact info in exchange for a valuable marketing offer. In that sense, an effective CTA results in more leads and conversions for your web site. This path, from a click on a CTA to a landing page, illustrates a lot of desired process of lead generation.
  4. Creating an Effective Lead magnet: The idea behind a lead magnet is to trade information. You supply something like a free download of a white paper, but in order to complete the download the individual has to fill out a form that will provide you with more information about them. You’ll use the information you gather to interact with them more as they progress through your funnel.
  5. Driving Traffic: There a variety of ways you can drive traffic to your website.
  • Quality Content: Use content like blog posts, press releases and articles on authority websites. Insert links to various places on your web site inside this content to create your brand name through exposure and drive traffic to your website.
  • Keyword Strategy: Inserting related keywords into content will help your content and website show up in more search results, this leads to higher volumes of web traffic.
  • Website Optimisation: Ensuring that your website is optimised and functioning at its best is essential. People don’t want to visit a website that doesn’t work properly.
  • Social Media: Use engaging social media posts to attract more traffic to your site. Using pictures, video, and other relevant media will help your posts get more engagement.

 

We have many different specialisations so you will have different options to start your career.

  1. Digital marketing strategist
  2. Digital marketing executive
  3. SEO analyst
  4. Social media specialist
  5. Google AdWords specialist
  6. Email marketing specialist
  7. Web Analyst
  8. Online reputation manager

The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the data is piling along with a surge in different tech fields like Artificial Intelligence, machine learning and data Analytics. Hiring data scientist is being carried across numerous domains like e-commerce, education, retail, telecommunication and much more.

 

In the past years, analysts used excel tools to analyze data. Things are changing now! In this modern world, data-driven decision making is sparkling and technology is advanced in the data industry. The tools and technologies that modern Data Scientists employ are a combination of statistical and Machine Learning algorithms. They are used to discover patterns using predictive models. The future of Data Science is bright and the options for its implementation are extensive.

 

Data Scientists must consistently evolve at the edge of innovation and creativity. They must be aware of the types of models they create. These innovations will allow them to spend time discovering new things that may be of value. Subsequently, the advances in Data Science tools will help leverage existing Data Science talent to a greater extent.

 

So what does a Data Scientist do?

Data Scientists influence a pile of data in an innovative way to discover valuable trends and insights. This approach helps to identify opportunities by implementing research and management tools to optimize business processes by reducing the risks. Data Scientists are also responsible for designing and implementing processes for data mining, research and modeling purposes.

 

Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are massive data wranglers. They take a vast data and use their skills in mathematics, statistics and programming to scrub and organize the information. All their analysis combined with industrial knowledge helps to uncover hidden solutions to business challenges.

 

Generally, a data scientist needs to know what could be the output of the big data he/she is analyzing. He/she also needs to have a clearly defined plan on how the output can be achieved with the available resources and time. Most of all the data scientists must know the reason behind his attempt to analyze the big data.

 

To achieve all of the above, a data scientist may be required to:

 

Every organization has unique data problems with its own complexities. Solving different Data Science problems requires different skill sets. Data Science teams are groups of professionals with varied skill sets. They, as a team, solve some of the hardest data problems an organization might face. Each member contributes distinctive skill set required to complete a Data Science project from start to finish.

 

The Career Opportunities:

The careers associated with data science are generally categorized into five.

 

  1. Statisticians: Statisticians work usually for national governments, marketing research firms and research institutes. Extracting information from massive databases through numerous statistical procedures is what they do.
  2. Data Analyst: Telecommunication companies, manufacturing companies, financial companies etc. hire data scientists to analyze their data. A data analyst keeps track of various factors affecting company operation and make visual graphics.
  3. Big Data and Data Mining Engineer: Tech companies, retail companies and recreation companies use data scientists as data mining engineers. They have to gather and analyze huge amounts of data, typically from unstructured information.
  4. Business Intelligence Reporting Professional: They work for tech companies, financial companies, and consulting companies etc. Market research is the primary objective of this job. They also generate various reports from the structured data to improve the business.
  5. Project Manager: A project manager evaluates data and insights fetched from the operational departments and influences the business decisions. They have to plan the work and make sure everything goes in accordance with the plan.

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.

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