How Data Entry Helps to Grow Small and Large Businesses

Data entry has multiple applications in the business world, and can offer a wide variety of benefits for any business. It can be beneficial for business to institute a data entry software program into their practice to help keep efficiency intact. While both small and large companies approach business differently and utilize a different set of practices accordingly, both can benefit from data entry in a variety of ways. Data entry is not only a means of organizing data, maintaining information, and input information into an electronic medium; it is a way of growing a business.
Data Entry and Small Businesses

A small business may enjoy its status as a reliable, “mom and pop” style establishment, and many customers enjoy the feeling of giving their business to a family run store. Smaller companies enjoy an intimacy with clientele, and often have an innate portrayal of trust due to the low number of employees or staff, and the more personalized interaction with customers. There are many advantages to data entry usage for smaller business, such as a family run coffee shop, for example. The right software programs can help this coffee shop keep track of reordering schedules so that coffee, paper cups, and other supplies are received on time without a skip, which would result in customer dissatisfaction and lack of variety. If this was done by hand, it would be up to an owner or employee to remember what to order, when to order, and how much is needed, which is taking a chance on the business running smoothly. Relying on old fashioned means to run your business, such as using only Excel, for example, is taking a chance on possible failure. Small businesses need modern, cutting edge data entry practices just as much as larger businesses do. Data entry helps a coffee shop, like this fictitious one, keep track of what is ordered most often, which will help the business decide what drinks/foods to phase out and which ones to keep, helping prevent money loss on products that aren’t being used or favored by picky customers.

Small businesses like this fictional coffee shop need modern practices, like data entry management, in order to compete with their larger, more financially secure counterparts. If this coffee shop failed to keep track of shipments, supplies, and finances, they would soon find themselves losing business to the nearest corner Starbucks. Data entry is useful for small businesses whose growth projection might include expansion, brand growth, or franchising. In this case, data entry can be a means of helping to manage a larger, more pressing responsibility load, extra employees, and finances. For this type of small business plan, data entry might allow for the company to offer a larger and more diverse amount of products, which helps make more money, which in turn allows them to afford more employees and computers to handle demand, and potentially even expanding to additional stores. Data entry is vital for small business maintenance and growth, and is a modern approach to business management.
Data Entry and Large Businesses

For a large business with a significant number of employees on staff, data entry can be a useful means to keep a company running smoothly and successfully. Typically larger businesses, such as law firms or construction companies, require more varied and nuanced data entry systems due to the sheer amount of information that they must keep track of day to day. Whether they utilize data entry in-house or rely on more inexpensive alternatives, like outsourcing, large businesses require reliable data entry practices to continue to grow their brand.

Among its many uses for large business, data entry can be used to organize information, manage clients and files, keep track of important dates, and accurately handle large quantities of data. It can help you grow your company further by allowing you to keep a larger staff and continue to hire new employees, which in turn allows you to take on new clients and their accounts. Data entry takes a lot of the labor intensive work of paper filing and other organizing and management issues and makes it quicker, more streamlined, and with less chance of error. With the hassle of data management taken care of, a large business can focus on growing their client base, physical expansion, or branching out to new opportunities, like partnering with a similar business.
An important aspect of data entry for large business growth is attention to customer service. As larger companies have more clients to keep track of, frequent data entry updates are crucial. Relying on old information might cause issues such as outdated client addresses and phone numbers, unread emails, incorrect personalization, and duplicate information sent to valued clients. Also, data entry provides a level of security and privacy for a business’s information, files, employees, and clients. It can also help with surveying a competitor’s company growth and the reasons why they are successful. Or it can survey customers to ensure satisfaction levels and determine areas of improvement.

Source : https://www.dataentryoutsourced.com/blog/data-entry-helps-to-grow-businesses/

Data Entry Outsourcing - 6 Key Benefits of Outsourced Data Entry

The effective data typing services are must and have to outsource because of globalization. Without information, no company can go ahead and become successful. At every point of making decisions, proper information is essential. So data is one of the most important parts in any organization. There must be proper management to keep the business running smoothly and effectively.

If you want reliable source for data handling, hire typing service company to outsource data entry task. Currently, solutions for every type of business needs are available at reasonable rate. As business grow, it is very hard to manage huge information. So, companies are turning to data entry outsourcing.

Here are the key benefits of data entry outsourcing:

1. All-in-One: data entry firms are offering numbers of services like, data processing, scanning, information formatting, document conversion, indexing and others. They also understand your requirement and deliver the output required format such as Word, Excel, JPG, HTML, XML and Other.

2. Resolve the Issues: As company grows, there are many issues arise like information about employees, benefits, healthcare for them, tuning with rapidly changing technologies, latest business information and others. If organization outsources some of their responsibilities, various issues get resolved quickly and automatically.

3. Better Services: You can expect superior data management and high quality services from outsourcing companies. They have experienced and skilled professionals with latest technologies to deliver unexpected result and stay ahead of other.

4. Least Cost: You can lower down your capital cost of infrastructure and other cost of salary, stationery and other, if you outsource data typing task. Through offshore companies, you can easily save up to 60% on data typing services.

5. Higher Efficiency: If your employees are free from routine and uninteresting process of entering information, they can deliver better result. Ultimately, this can increase the job satisfaction level and efficiency. You can expect high output at lower costs.

6. Place of Outsourcing: You must think about the outsourcing country. India is chosen by various companies for data typing outsourcing. At India, you can get benefits of better quality, enough infrastructure, quick delivery, skilled experts at very low rates.

You can easily reduce tons of time-consuming and boring responsibilities by outsourcing.



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Benefit of Outsourcing Data Entry Work

In the era of globalization whole world consider as single market place and competition is now growing tremendously for business. Every one looking for reduces the overhead for business. Outsourcing is best option for this. Outsourcing data entry work is most popular among all outsourcing work. Many companies are already outsourcing their work for saving cost and reducing their overhead. The professional data- entry services help not only data feeding process, but also, in managing the data for the upfront requirements.

Data entry covers almost every type of business and this is very basic need for each business. This services covers data conversion, online and offline data-entry, document and image processing, image entry, insurance claim entry and many more. This outsourcing gives spectacular gains for business also gives plenty of advantages to outsource company and client as well.

Major Benefits of outsourcing Data Entry Work

Consistent Data Source - data entry outsourcing companies give you consist and accurate data which can be easily used for the benefits of the organizational needs. This in turn ensures efficiency in workflow and there is no wastage of time.

Low Costing and Maximum ROI - outsourcing data-entry services give you perfect solution for saving your extra cost. In this way, the companies can reduce the extra expenditure on resources and increase the competence and efficiency. As the result of which, splendid gains are the obvious outcome.

High Quality Work - Main benefit of is to get high quality work as per your requirements. Companies like 3 alpha data entry services having years of experience for this and team of expertise those who give high quality work.

All In one service - when you outsource your work many companies also give related other services like, image scanning, image editing, OCR scanning, PDF to DOC conversion, data processing, SGML/HTML coding, data security and much more.

Well-organized Data Management - you can manage your all data with efficient manner and accurately.

This outsourcing will definitely help you to focus on your core business operations and thus improve your overall productivity. So data entry outsourcing is become wise choice for business.



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What Is Data Entry Business All About?

Data entry is among the fast growing businesses in the world. It is fast-paced, dynamic and in constant flux. Henceforth under such circumstances, there is a need for access to accurate and detailed information easily.

Whether you are running a small company or big corporation, you need information as vital assets to both yourself and the people who needed it.

To succeed, you need to conduct market research, understand your customers' needs and concerns and other critical factors. The more you do this, the better feedback you can get from the market. Using such an

analysis will enable you to understand your business better.

In the age of digital information as essential products for people looking for answers and solutions online, converting data into information before presenting is extremely important in any business organization.

There will always be new challenges and procedures to manage from various angles and perspectives. Such as new ventures, mergers or even a technological breakthrough.

Accessibility, application and value of information that every company possesses becomes more significant for customers each time it progresses. That is the primary key for the scope and flourishing of data entry

businesses.

Most of the related activities involve document and image processing, mage enhancement, photo manipulation, catalog processing, data conversion, PDF document indexing, online data capture etc. The list goes on

and on as information increases everyday in every region, field and percept of the world.

Every data entry business has its own categories even though what they are dealing with is still data entry. Categories such as Data Outsourcing, Offshore, Processing, Online Services, Fax Updates, Data Research, Data

Form Processing And Data Reports.

Other than all those, data publishing is rapidly turning into a vital component of data entry. It basically consists of data enrichment, design and presentation, document management, eBook creation and publishing,

search engine optimisation or SEO and web hosting. These are all data in variety of different formats.

To speed the entire process efficiently, specialized software are being developed. These software accept data from any means of input and store them on PC servers for further processing. It practically builds links

between database and its application in order to test for any errors constantly.

In this technological era, businesses are greatly dependent on software for all forms of functions. Just like the body spine, it is the backbone support for all varied companies and corporations.

Because there is so much work to be done, companies found it difficult to accomplish everything quickly even with their staff. That is why they decided to outsource to freelancers or those who are keen to earn extra

income doing part-time data entry online. That marks the birth of data entry programs.

This is what data entry business is all about. However before joining any program, it is important to get third party feedback or review in order not to spend your hard earned money only to get scammed.

Programs that promises to make you a millionaire overnight are definitely a scam but programs that promises you success only if you take action to do what is necessary and have back-up testimonies are what you

should take into consideration.

My-Data-Team is one of the few legitimate work-from-home data entry programs that delivers when it matters most.



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5 Key Factors to Consider Before Outsourcing Online Data Entry

On a daily basis, business enterprises generate a substantial amount of data. If the data is not managed properly, it will likely get lost in the massive rubble of files and papers. Because of this, business enterprises face a large number of challenges such as lost revenue, unseen competitive advantages and missed business opportunities. A large number of problems arise when the data that is generated in a business enterprise is not entered in an organized electronic system. The challenges persist even further when the data isn’t usable or easily accessible. Outsourcing online data entry works to a professional service provider can mitigate the effects of these challenges.

Business enterprises can find it quite time consuming when taking the first step towards outsourcing. But once enterprises figure out how they can expand their business operations with the help of outside professionals, it can offer improved efficiencies and economies of scale. Technology has made online data entry outsourcing more accessible to business enterprises which have had an impact on their productivity, growth and bottom lines. Progressive business enterprises know that outsourcing can help them handle online data entry aspects of the business which simply does not make sense when dealt with personally. But with the presence of large number of online data entry service providers, it can be difficult to select the right one.

Here are the key factors business enterprises must consider before outsourcing online data entry:

Business Reputation:

In the social media age, business operations are closely scrutinized by everyone involved and therefore maintaining business reputation is given the utmost importance. Business enterprises must be careful enough before outsourcing online data entry to any third party vendor and they must ensure that the vendor maintains the highest possible standards while providing the service. The business reputation of the vendor is an important criterion to consider before outsourcing. If a business enterprise outsources to a vendor without looking at their past credentials, it can seriously jeopardize the reputation of the business enterprise which is built over many years. Outsourcing may free capital for the enterprise but the drop in service levels can result in the enterprise spending more than what it saved on building its reputation.

Accuracy:

Accuracy is quintessential when it comes to online data entry. Consistent data errors can create substantial issues over time. The quality of data is impacted by various elements such as team commitment, workplace culture, access to new technology, innovation and more. A high level of attention to detail and accuracy is required as even a simple mistake can cost a business enterprise millions. Therefore business enterprises must make it a point to find out about the quality control measures of the online data entry service provide to ensure a high level of accuracy. In reality, eliminating 100% of data entry errors is close to impossible but there will definitely be ways to minimize the risks.

Cost:

For various business enterprises the main motivation behind outsourcing online data entry is primarily cost savings. When enterprises decide to outsource, it is usually a strategic decision as it involves evaluating the potential cost savings against concern over losing control over the product or service. Put simply, outsourcing takes place mainly to improve profit margins. However, the cost efficiency of outsourcing online data entry comes into question if the third party vendor fails to meet the requirements of the business enterprise. But since cost savings are never immediate, it is important for business enterprises to learn about how they will be able to save in the short as well as in the long run.

Data Safety:

Selecting the ideal online data entry outsourcing provider is quintessential to completing the task successfully. But the top concern of various business enterprises when outsourcing online data entry tasks is data security. It is understandable for enterprises to have such concerns as they are providing the third party vendor with confidential information and at times enterprises also grant them access to the system. Security breaches that can happen when enterprises give access to online data entry service providers include hacking, lost backup tapes, dishonest insiders and stolen computers. Business enterprises must carefully scrutinize the security and confidentiality practices, use of portable thumb drives in the office and non-disclosure agreements. The services provided by the third party vendor will not be effective if encryption, policies regarding security breach and recovery is not strong.

Turn Around Time:

In addition to accuracy, speed is also important when it comes to online data entry as business enterprises with large amounts of data entry tasks want it to be accurately entered and organized with the least turnaround time. Most business enterprises take into account the delivery time while rating data entry service providers. The need of the hour is quick yet accurate data entry services. Business enterprises must enquire about expected turnaround time and also responsiveness to urgent requests.

One of the key elements of business today is outsourcing and considering it as an unnecessary risk can hinder growth prospects. Though technology has made it easier for business enterprises to find reliable and capable online data entry service providers, the selection process still holds relevance. An ideal online data entry outsourcing service provider must have a good business reputation in the field, provide accurate data entry services with utmost importance to security and deliver on promise with the least turnaround time.

https://www.invensis.net/blog/data-processing/5-key-factors-consider-outsourcing-online-data-entry/

Business Intelligence & Data Warehousing in a Business Perspective

Business Intelligence & Data Warehousing in a Business Perspective

Business Intelligence

Business Intelligence has become a very important activity in the business arena irrespective of the domain due to the fact that managers need to analyze comprehensively in order to face the challenges.

Data sourcing, data analysing, extracting the correct information for a given criteria, assessing the risks and finally supporting the decision making process are the main components of BI.

In a business perspective, core stakeholders need to be well aware of all the above stages and be crystal clear on expectations. The person, who is being assigned with the role of Business Analyst (BA) for the BI initiative either from the BI solution providers' side or the company itself, needs to take the full responsibility on assuring that all the above steps are correctly being carried out, in a way that it would ultimately give the business the expected leverage. The management, who will be the users of the BI solution, and the business stakeholders, need to communicate with the BA correctly and elaborately on their expectations and help him throughout the process.

Data sourcing is an initial yet crucial step that would have a direct impact on the system where extracting information from multiple sources of data has to be carried out. The data may be on text documents such as memos, reports, email messages, and it may be on the formats such as photographs, images, sounds, and they can be on more computer oriented sources like databases, formatted tables, web pages and URL lists. The key to data sourcing is to obtain the information in electronic form. Therefore, typically scanners, digital cameras, database queries, web searches, computer file access etc, would play significant roles. In a business perspective, emphasis should be placed on the identification of the correct relevant data sources, the granularity of the data to be extracted, possibility of data being extracted from identified sources and the confirmation that only correct and accurate data is extracted and passed on to the data analysis stage of the BI process.

Business oriented stake holders guided by the BA need to put in lot of thought during the analyzing stage as well, which is the second phase. Synthesizing useful knowledge from collections of data should be done in an analytical way using the in-depth business knowledge whilst estimating current trends, integrating and summarizing disparate information, validating models of understanding, and predicting missing information or future trends. This process of data analysis is also called data mining or knowledge discovery. Probability theory, statistical analysis methods, operational research and artificial intelligence are the tools to be used within this stage. It is not expected that business oriented stake holders (including the BA) are experts of all the above theoretical concepts and application methodologies, but they need to be able to guide the relevant resources in order to achieve the ultimate expectations of BI, which they know best.

Identifying relevant criteria, conditions and parameters of report generation is solely based on business requirements, which need to be well communicated by the users and correctly captured by the BA. Ultimately, correct decision support will be facilitated through the BI initiative and it aims to provide warnings on important events, such as takeovers, market changes, and poor staff performance, so that preventative steps could be taken. It seeks to help analyze and make better business decisions, to improve sales or customer satisfaction or staff morale. It presents the information that manager's need, as and when they need it.

In a business sense, BI should go several steps forward bypassing the mere conventional reporting, which should explain "what has happened?" through baseline metrics. The value addition will be higher if it can produce descriptive metrics, which will explain "why has it happened?" and the value added to the business will be much higher if predictive metrics could be provided to explain "what will happen?" Therefore, when providing a BI solution, it is important to think in these additional value adding lines.

Data warehousing

In the context of BI, data warehousing (DW) is also a critical resource to be implemented to maximize the effectiveness of the BI process. BI and DW are two terminologies that go in line. It has come to a level where a true BI system is ineffective without a powerful DW, in order to understand the reality behind this statement, it's important to have an insight in to what DW really is.

A data warehouse is one large data store for the business in concern which has integrated, time variant, non volatile collection of data in support of management's decision making process. It will mainly have transactional data which would facilitate effective querying, analyzing and report generation, which in turn would give the management the required level of information for the decision making.

The reasons to have BI together with DW

At this point, it should be made clear why a BI tool is more effective with a powerful DW. To query, analyze and generate worthy reports, the systems should have information available. Importantly, transactional information such as sales data, human resources data etc. are available normally in different applications of the enterprise, which would obviously be physically held in different databases. Therefore, data is not at one particular place, hence making it very difficult to generate intelligent information.

The level of reports expected today, are not merely independent for each department, but managers today want to analyze data and relationships across the enterprise so that their BI process is effective. Therefore, having data coming from all the sources to one location in the form of a data warehouse is crucial for the success of the BI initiative. In a business viewpoint, this message should be passed and sold to the managements of enterprises so that they understand the value of the investment. Once invested, its gains could be achieved over several years, in turn marking a high ROI.

Investment costs for a DW in the short term may look quite high, but it's important to re-iterate that the gains are much higher and it will span over many years to come. It also reduces future development cost since with the DW any requested report or view could be easily facilitated. However, it is important to find the right business sponsor for the project. He or she needs to communicate regularly with executives to ensure that they understand the value of what's being built. Business sponsors need to be decisive, take an enterprise-wide perspective and have the authority to enforce their decisions.

Process

Implementation of a DW itself overlaps with some phases of the above explained BI process and it's important to note that in a process standpoint, DW falls in to the first few phases of the entire BI initiative. Gaining highly valuable information out of DW is the latter part of the BI process. This can be done in many ways. DW can be used as the data repository of application servers that run decision support systems, management Information Systems, Expert systems etc., through them, intelligent information could be achieved.

But one of the latest strategies is to build cubes out of the DW and allow users to analyze data in multiple dimensions, and also provide with powerful analytical supporting such as drill down information in to granular levels. Cube is a concept that is different to the traditional relational 2-dimensional tabular view, and it has multiple dimensions, allowing a manager to analyze data based on multiple factors, and not just two factors. On the other hand, it allows the user to select whatever the dimension he wish to choose for analyzing purposes and not be limited by one fixed view of data, which is called as slice & dice in DW terminology.

BI for a serious enterprise is not just a phase of a computerization process, but it is one of the major strategies behind the entire organizational drivers. Therefore management should sit down and build up a BI strategy for the company and identify the information they require in each business direction within the enterprise. Given this, BA needs to analyze the organizational data sources in order to build up the most effective DW which would help the strategized BI process.

High level Ideas on Implementation

At the heart of the data warehousing process is the extract, transform, and load (ETL) process. Implementation of this merely is a technical concern but it's a business concern to make sure it is designed in such a way that it ultimately helps to satisfy the business requirements. This process is responsible for connecting to and extracting data from one or more transactional systems (source systems), transforming it according to the business rules defined through the business objectives, and loading it into the all important data model. It is at this point where data quality should be gained. Of the many responsibilities of the data warehouse, the ETL process represents a significant portion of all the moving parts of the warehousing process.

Creation of a powerful DW depends on the correctness of data modeling, which is the responsibility of the database architect of the project, but BA needs to play a pivotal role providing him with correct data sources, data requirements and most importantly business dimensions. Business Dimensional modeling is a special method used for DW projects and this normally should be carried out by the BA and from there onwards technical experts should take up the work. Dimensions are perspectives specific to a business that could be used for analysis purposes. As an example, for a sales database, the dimensions could include Product, Time, Store, etc. Obviously these dimensions differ from one business to another and hence for each DW initiative those dimensions should be correctly identified and that could be very well done by a person who has experience in the DW domain and understands the business as well, making it apparent that DW BA is the person responsible.

Each of the identified dimensions would be turned in to a dimension table at the implementation phase, and the objective of the above explained ETL process is to fill up these dimension tables, which in turn will be taken to the level of the DW after performing some more database activities based on a strong underlying data model. Implementation details are not important for a business stakeholder but being aware of high level process to this level is important so that they are also on the same pitch as that of the developers and can confirm that developers are actually doing what they are supposed to do and would ultimately deliver what they are supposed to deliver.

Security is also vital in this regard, since this entire effort deals with highly sensitive information and identification of access right to specific people to specific information should be correctly identified and captured at the requirements analysis stage.

Advantages

There are so many advantages of BI system. More presentation of analytics directly to the customer or supply chain partner will be possible. Customer scores, customer campaigns and new product bundles can all be produced from analytic structures resulting in high customer retention and creation of unique products. More collaboration within information can be achieved from effective BI. Rather than middle managers getting great reports and making their own areas look good, information will be conveyed into other functions and rapidly shared to create collaborative decisions increasing the efficiency and accuracy. The return on human capital will be greatly increased.

Managers at all levels will save their time on data analysis, and hence saving money for the enterprise, as the time of managers is equal to money in a financial perspective. Since powerful BI would enable monitoring internal processes of the enterprises more closely and allow making them more efficient, the overall success of the organization would automatically grow. All these would help to derive a high ROI on BI together with a strong DW. It is a common experience to notice very high ROI figures on such implementations, and it is also important to note that there are many non-measurable gains whilst we consider most of the measurable gains for the ROI calculation. However, at a stage where it is intended to take the management buy-in for the BI initiative, it's important to convert all the non measurable gains in to monitory values as much as possible, for example, saving of managers time can be converted in to a monitory value using his compensation.

The author has knowledge in both Business and IT. Started career as a Software Engineer and moved to work in the business analysis area of a premier US based software company.

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How to Scrape a Website into Excel without programming

How to Scrape a Website into Excel without programming

This web scraping tutorial will teach you visually step by step how to scrape or extract or pull data from websites using import.io(Free Tool) without programming skills into Excel.

Personally, I use web scraping for analysing my competitors’ best-performing blog posts or content such as what blog posts or content received most comments or social media shares.

In this tutorial,We will scrape the following data from a blog:

    All blog posts URLs.
    Authors names for each post.
    Blog posts titles.
    The number of social media shares each post received.

Then we will use the extracted data to determine what are the popular blog posts and their authors,which posts received much engagement from users through social media shares and on page comments.

Let’s get started.

Step 1:Install import.io app

The first step is to install import.io app.A free web scraping tool and one of the best web scraping software.It is available for Windows,Mac and Linux platforms.Import.io offers advanced data extraction features without coding by allowing you to create custom APIs or crawl entire websites.

After installation, you will need to sign up for an account.It is completely free so don’t worry.I will not cover the installation process.Once everything is set correctly you will see something similar to the window below after your first login.

Step 2:Choose how to scrape data using import.io extractor

With import.io you can do data extraction by creating custom APIs or crawling the entire websites.It comes equipped with different tools for data extraction such as magic,extractor,crawler and connector.

In this tutorial,I will use a tool called “extractor” to create a custom API for our data extraction process.

To get started click the “new” red button on the right top of the page and then click “Start Extractor” button on the pop-up window.

After clicking  “Start Extractor” the Import.io app internal browser window will open as shown below.

Step 3:Data scraping process

Now after the import.io browser is open navigate to the blog URL you want to scrape data from. Then once you already navigated to the target blog URL turn on extraction.In this tutorial,I will use this blog URL bongo5.com  for data extraction.

You can see from the window below I already navigated to www.bongo5.com but extraction switch is still off.

Turn extraction switch “ON” as shown in the window below and move to the next step.

Step 4:Training the “columns” or specifying the data we want to scrape

In this step,I will specify exactly what kind of data I want to scrape from the blog.On import.io app specifying the data you want to scrape is referred to as “training the columns”.Columns represent the data set I want to scrape(post titles,authors’ names and posts URLs).

In order to understand this step, you need to know the difference between a blog page and a blog post.A page might have a single post or multiple posts depending on the blog configuration.

A blog might have several blog posts,even hundreds or thousands of posts.But I will take only one session to train the “extractor” about the data I want to extract.I will do so by using an import.io visual highlighter.Once the data extraction is turned on the-the highlighter will appear by default.

I will do the training session for a single post in a single blog page with multiple posts then the extractor will extract data automatically for the remaining posts on the “same” blog page.
Step 4a:Creating “post_title” column

I will start by renaming “my_column” into the name of the data I want to scrape.Our goal in this tutorial is to scrape the blog posts titles,posts URLs,authors names and get social statistics later so I will create columns for posts titles,posts URLs,authors names.Later on, I will teach you how to get social statistics for the post URLs.

After editing “my_column” into “post_title” then point the mouse cursor over to any of the Posts title on the same blog page and the visual highlighter will automatically appear.Using the highlighter I can select the data I want to extract.

You can see below I selected one of the blog post titles on the page.The rectangular box with orange border is the visual highlighter.

The app will ask you how is the data arranged on the page.Since I have more than one post in a single page then you have rows of repeating data.This blog is having 25 posts per page.So you will select “many rows”.Sometimes you might have a single post on a page for that case you need to select “Just one row”.

Source: http://nocodewebscraping.com/web-scraping-for-dummies-tutorial-with-import-io-without-coding/