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Top 26 Autocoder Specialists on 17 Jul 2019 on Toogit. Autocoder Specialists on Toogit are highly skilled and talented. Hiring Autocoder Specialists on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Autocoder Specialists on Toogit. Hiring Autocoder Specialists on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Sandipkumar Mechanical design, India
$9 /hr
8 Years Exp.
0 Followers
I am a mechanical design engineer having 7+ year experience
Aakash Chandra Architect , India
$9 /hr
4 Years Exp.
0 Followers
My self Aakash chandra. I am professional architect form varanasi india
Mohammed Imtiyaz Electrical design and drafting, India
$9 /hr
3 Years Exp.
0 Followers
Iam Certified In electrical desing In Abul Kalam engineering services
Hello I am an Highly Skilled and well Experienced Designer and Have a Lot of Experience in Softwares.. I am also An National Level presentation awar...Read More
Queen Joemy Dejapa student, Philippines
$4 /hr
0 Years Exp.
0 Followers
I am a 4th year student looking for a home based job or online work for addition for my school expenses. And help my mom to lessen her expenses
Dhanaprakash Drafting, India
$1 /hr
3 Years Exp.
0 Followers
i am certified by cad draft man and also having an experience of cad drawing 4+ years also do elevation drawings in revit
Avinashchopra i m a 3d visualizer artist, India
$9 /hr
4 Years Exp.
0 Followers
my specialization in 3d max modeling in interior and product design and i also work on autocad plan's design
Hamid Ali Khan Architect, Pakistan
$15 /hr
0 Years Exp.
0 Followers
I am architect,working from past two years.i have done couple of residential and commercial projects and have good sense of asthetics among design.
Jannina Procurement Desk Staff, Philippines
$5 /hr
2 Years Exp.
0 Followers
I am a certified Auto-CAD operator and draftsman with one month experience then reassigned under Project Management as a Procurement Desk Personnel. I...Read More
Evangel Architect , Nigeria
$20 /hr
2 Years Exp.
0 Followers
I am a graduate of Architecture, a graphic designer and a junior web developer
Layal Architect - Art therapist - Music teacher, Lebanon
$50 /hr
5 Years Exp.
0 Followers
I am an Architect with Masters degree in architectural design. I have been a music and piano teacher for more than 10 years. I am also an art therap...Read More
Shiva analyst, India
$10 /hr
2 Years Exp.
0 Followers
iam a professional analyst with 2years of experience
Remah architect , Jordan
$20 /hr
4 Years Exp.
0 Followers
i am a certified architecture with a bachelor degree from the american university of madaba and i am experienced in architecture students need and a...Read More
Kim Electrical Draftsman , Philippines
$20 /hr
3 Years Exp.
0 Followers
have assumed various positions including my current role as Electrical Design Engineer at Racatech Builders Corporation where I perform a diverse rol...Read More
Faaiz Ahmad desginer, India
$5 /hr
0 Years Exp.
0 Followers
autocad and revit 3D designer
Gilson Civil Engineer and AutoCAD Drafter, Philippines
/hr
1 Years Exp.
0 Followers
A licensed Civil Engineer (May 11, 2018) Both have experienced as Site Superviser and AutoCAD Drafter Skills: 1. AutoCAD Drafter (AutoCAD) 2....Read More
Vignesh Bim Engineer, India
$17 /hr
2 Years Exp.
0 Followers
I am a civil engineer with 2-year experience
Raymund Inajada Architect , Real Estate Broker, Philippines
$10 /hr
8 Years Exp.
0 Followers
I'm a licensed Architect & Real Estate Broker with over 8 years experience (2 years internship + 6 years licensed) as a Junior Architect in...Read More
Homer Civil Works Design Engineer, Philippines
$20 /hr
4 Years Exp.
0 Followers
Civil Works Design Engineer Road Design, Road Grading, Site Grading, Drainage Utilities, Water Supply System Design, Sewer System Design, Perimeter F...Read More
Akshay Hala architects&engineers, India
$20 /hr
2 Years Exp.
0 Followers
I am professional Architect and Engineer having 2 year experience....
Stefan K.Structural engineer, Serbia
$30 /hr
1 Years Exp.
0 Followers
I am a civil engineer, currently employed as a steel detailer/Tekla strucutres specialist, in a construction company working on a number of large-scal...Read More
Dia Mae Luzares Cad Drafter/ Designer, Philippines
$6 /hr
9 Years Exp.
0 Followers
I am an Architect and Plumbing Designer. I have 10 years of experiences in design, drafting and detailinh
Kaushal P.3d visulization & cad expert, India
$10 /hr
0 Years Exp.
0 Followers
i am civil engineer & i have experiance of 3 years.
Christian R.Design Civil Engineer, Philippines
$12 /hr
6 Years Exp.
0 Followers
Six years of experience in highway design and site development
Yash Panchal Design & Development Manager, India
$10 /hr
2 Years Exp.
0 Followers
I am a Mechanical Engineer, working as Design & Development Manager since past 2 years at a Construction Equipment Industry.
Creative Projects Visualizer, Architecture, Planning and Design, Philippines
$20 /hr
16 Years Exp.
0 Followers
Creative Projects Group is a start-up company specializing in Visualization, Architecture, Planning, Design and Build. We are a group of Visualizers w...Read More
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In recent years, there has been a big surge in Cloud Computing Technologies. One such technology which has an immense impact on the world of computing is Salesforce.

 

Salesforce is customer relationship management (CRM) product, Salesforce also sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics and application development.”

 

Before Salesforce, Customer Relationship Management (CRM) solutions were hosted on a company’s own server. Can imagine the cost and time it took for companies to have their own CRM solutions? Well, it used to take months or even years to set it up and the cost went up to millions of dollars. Even after setting up, they were extremely hard to use. The feasible solution is to building an affordable CRM software and delivering it entirely online as a service. This was the main idea behind Salesforce. Started as a Software as a Service (SaaS) company, Salesforce has grown into the fifth-largest software company in the world.

 

Salesforce will maintain to be a powerful area for the career opportunity. If the economy remains to grow, demand will maintain to exceeds, as a result, it provides better opportunities and higher salaries. If the economy declines, space will be more resistant to downturns than most, resulting in better job security.

 

Future of the CRM Market

Software as a service (SaaS) products have become increasingly popular and have driven the growth of the CRM market. It's predicted that SaaS CRM solutions will reach a deployment rate of 80 to 85% by 2025. Are you looking for CRM Marketer? Follow to reach your goal.

 

In the near term, the CRM software market is growing at a compound annual growth rate (CAGR) of 14%. The cloud-based CRM subsection of that market is growing at a compound annual rate of 22%.

 

Ninety-one percent of companies already using Salesforce admit that it helps their marketing teams maintain a strong voice with clients and consumers. What's more, 64% of marketers report that they place a higher value on maintaining existing clients than trying to acquire new ones, adding to the need for Salesforce. These numbers show that cloud-based CRM software will become a ubiquitous tool for client-driven companies around the world.

 

Salesforce is the top cloud-based CRM on the market. It has a market share of more than 15% and consistently generates upward of $1 billion more in revenue than its closest competitor. Salesforce has positioned itself well to take advantage of the future growth of the industry.

 

FROM NOTHING TO SALESFORCE ADMIN/DEVELOPER?

The great thing about Salesforce is when we start out we don’t need to know any programming languages. When we create business applications in Salesforce, a lot of it is “click development” or “click configuration” to create applications. Not to say this is “easy”, but it’s all learnable! I have a great belief that if we put our mind to it, we can achieve anything even if we and others think we can’t.

 

It’s odd that people from different industries don’t think they have transferable skills. I think this comes from the perception that Salesforce is a “technical system”. Salesforce is a system that enables companies to manage their day to day operations. That could be Sales, Service, Finance, Operations, Marketing, and Manufacturing! It can touch every part of a business. The businesses that implement it well, are those that consider it a business system that is enable and support their workforce. Those companies that think of Salesforce is an “IT system” and should be implemented by IT, but actually it’s a business system and should be run by the business. Because of this we still have invaluable experience that can complement a career in Salesforce.

  • Job roles available for Salesforce professional:
  • Project Manager
  • Salesforce Architect
  • Salesforce analyst
  • Salesforce consultant
  • Salesforce developer
  • Salesforce admin

 

HOW TO GET STARTED IN SALESFORCE?

First goal is getting a paid job working with Salesforce. To achieve this goal everything comes down to making your resume as attractive as possible to a new employer. I think this comes down to following areas:

 

CERTIFICATIONS

There are a lot of Salesforce Certifications. But I recommend the one to get first ‘Salesforce Certified Administrator’. The reason for this is it gives a good overview of the whole of the core Salesforce platform

 

EXPERIENCE

Create some app in Salesforce: Prove knowledge of Salesforce by creating some business apps in Salesforce. Salesforce provides free “Salesforce Developer Orgs” which is a fully functioning Salesforce tool but limited to a couple of user licenses and limited space. But we can create business apps within it. Then we can add this on CV that we have created, for example an invoice management application with approval processes and automation then this could go a good way in proving your ability with Salesforce.

 

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.

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