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Top 30 Google Analytics Api Freelancers on 21 Apr 2019 on Toogit. Google Analytics Api Freelancers on Toogit are highly skilled and talented. Hiring Google Analytics Api Freelancers is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Google Analytics Api Freelancers. Hiring Google Analytics Api Freelancers is 100% safe as the money is released to the Google Analytics Api Freelancers only after you are 100% satisfied with the work.

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Social Media Specialist and SEO Expert | PPC | SMO
Neha Soni

Social Media Specialist and SEO Expert | PPC | SMO  


Google Analytics Google AdWords Google Tag Manager 
$22 /hr
India
Adwords specialist
Mrinal Mandapaka

Adwords specialist  


Google Analytics Google Adword Google AdWords Experts 
$9 /hr
India
WordPress Developer more than 4 year Experience
Sapan Agarwal

WordPress Developer more than 4 year Experience  


Google Analytics App Store Optimization (ASO) Wordpress Theme 
$9 /hr
India
Full Stack developer / CEO - Absolutes Inc.
Srinivas Muralidharan

Full Stack developer / CEO - Absolutes Inc.  


Google Analytics Mobile App Web Scraping 
$6 /hr
India
SEO, SMO, SMM, SEM, Content marketing Expert
Gurjender Singh

SEO, SMO, SMM, SEM, Content marketing Expert  


Google Analytics Google Adsense Google Search Console 
$6 /hr
India
Digital Marketing Expert
Guruprasad

Digital Marketing Expert  


Google Analytics Google AdWords Graphic Design 
$8 /hr
India
Search marketing specialist
Ajith Krishna

Search marketing specialist  


Google Analytics Google Adsense Google Adword 
$10 /hr
India
SEO Director/Content Manager
James Ladue

SEO Director/Content Manager  


Google Analytics Google Docs Google Adword 
$20 /hr
United States
Digital Marketing Lead
Nick

Digital Marketing Lead  


Google Analytics Google Docs Google Sheets 
$18 /hr
United States
Sr. Investigation Specialist
Varshith Shetty

Sr. Investigation Specialist  


Google Analytics Data Science & Analytics Machine Learning 
$6 /hr
India
Virtual Assistant & Data Entry
Jay

Virtual Assistant & Data Entry  


Google Analytics Google Adsense Google Spreadsheets 
$3 /hr
India
Search Engine Optimization
Bhagirath Vala

Search Engine Optimization  


Google Analytics Google Adsense Digital Marketing 
$10 /hr
India
Digital Marketing Manager
Manish Kumar

Digital Marketing Manager  


Google Analytics Google Adsense Google Adword 
$5 /hr
India
Digital marketer
Sindhu Jhaveri

Digital marketer  


Google Analytics Google Adsense Google Adword 
$9 /hr
India
Senior PPC Analyst
Mudit Sharma

Senior PPC Analyst  


Google Analytics Google AdWords Google Adword 
$20 /hr
India
Digitle marketing and seo
Prakhar Gupta

Digitle marketing and seo  


Google Analytics Google Adsense Google Adword 
$3 /hr
India
Senior Digital Marketing Analyst
Mr

Senior Digital Marketing Analyst  


Google Analytics Google Adword Google AdWords Experts 
$9 /hr
India
Operations Intern/Student
Shubhangi Jena

Operations Intern/Student  


Google Analytics Analytics Data Science & Analytics 
$17 /hr
India
Business Analyst
Lavish Jindal

Business Analyst  


Google Analytics Analytics Data Science & Analytics 
$17 /hr
India
Business analysis. Data analysis. AOP Planning, S&OP, Forecast, demand Planning’s. Dashboard, scheme, MIS report
Om Prakash Rana

Business analysis. Data analysis. AOP Planning, S&OP, Forecast, demand Planning’s. Dashboard, scheme, MIS report  


Google Analytics Google Spreadsheets Data Science & Analytics 
$12 /hr
India
Digital Marketing
Narendra Singh

Digital Marketing  


Google Analytics Google Adword Affiliate Marketing 
$26 /hr
India
Arabic / English SEO Specialist and Wordpress Content Developer
Mohammed Bright

Arabic / English SEO Specialist and Wordpress Content Developer  


Google Analytics Google Adsense Data Science & Analytics 
$20 /hr
Egypt
Engineer
Pranali Amrutkar

Engineer  


Google Analytics WebHost Manager (WHM) Communication 
$9 /hr
India
I am a Business Consultant, Digital Strategist, Social Marketer & Growth Hacker
Sri Chaithanya

I am a Business Consultant, Digital Strategist, Social Marketer & Growth Hacker  


Google Analytics Website Analytics Business Analysis 
$28 /hr
India
Product Guy with exposure of consulting , analytics and gamification
Nachiket Vaidya

Product Guy with exposure of consulting , analytics and gamification  


Google Analytics Data Analytics Gamification 
$10 /hr
India
Digital Marketeer & Content Manager
Rohit Menon

Digital Marketeer & Content Manager  


Google Analytics Google Tag Manager Google Adword 
$5 /hr
India
Digital Marketer
Nikhil Ramesh

Digital Marketer  


Google Analytics Google Adword Social Media Management 
$15 /hr
India
Software Developer
Manish Agrawal

Software Developer  


Google Analytics Google Adword Bootstrap 
$1 /hr
India
Digital marketing specialist
Rashmi Patil

Digital marketing specialist  


Google Analytics Google Adsense Social Media Management 
$9 /hr
India
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Skills related to Google Analytics Api

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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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