Steps to open a CSV File in Excel without breaking it or formatting


1.  Open a blank workbook in Excel

2.  Chose “Data” -> “From Text”.


3.  Select the CSV file to open.

4.  In “Text Import Wizard – Step 1 of 3”, chose options “Delimited” and check the box “My data has headers.”


5.  In “Text Import Wizard – Step 2 of 3”, check “Comma” as Delimiter and select double quote symbol as Text qualifier.


6.  In “Text Import Wizard – Step 3 of 3”, with the first column in the “Data Preview” selected, scroll across to the last column and select it while holding the SHIFT key (all columns should now be selected). Then select “Text” as the Column Data Format and click “Finish”.


7.  In the final step under “Import Data”, select “Existing worksheet:” and click on “OK”.


You should now have a spreadsheet with the imported data but without Excel breaking the formatting required and all values as text. Remember to export the file from Excel to CSV again if you have made changes in the file.

Data Scraping – Make the Best of Data




Data scraping or more preferably web scraping is extracting data from a website into a local file or spreadsheet on your computer. It is a method of importing information to a human-readable output. Data scraping also termed as Web Harvesting or Web Data Extraction is employed to extract a large chunk of data and save it to a database in spreadsheet format. It is most efficiently used to collect data from various websites. Even data scraping helps in channeling information from one website to another. Generally, data transfer from one program to another is totally computer-centric. No involvement of human interaction is required. Data scraping is generally considered, inelegant technique, often used only as a “last resort” when no other mechanism for data interchange is available. Data displayed by websites can only be seen using browsers. There are no functionality of the option for saving an offline version in your device. One has to manually copy and paste the data which is a very tedious and time-consuming job It can take days to extract data and import it to a local file in your device. To curb this problem and to make the process easier data scraping software is used. They perform the same task within a fraction of second. This web scraping software would automatically load and extract data from multiple sites depending upon your preference and requirements. Just one click away you can file and document the information directly from the websites. The basics for web scraping is relatively easy to master.

Popular uses of data scraping

Data scraping is used popularly to channel constructive data from website to another or from multiple websites to your local file on computer. Data scraping Popular uses of web data scraping includes

  • Research purposes- Generally when we intend to do research on a particular topic, this technology comes handy in analyzing and channeling data directly between various websites offering you the information as per requirement.
  • Comparing cost and price change monitoring – It is also used for travel booking of tickets in various price comparing sites.
  • Contact scraping- It is used to obtain access to customer’s email account for marketing purposes.
  • Sending product details from an e-commerce site to another online vendor.
  • Weather data comparison.
  • Gathering real estate listings.
  • Web data integration and web mashup.



Web scraping is process of automatically mining and extracting information from internet and document it. The field is actively developing. It ranges from fully automatic computerized programs to programs requiring human-computer interaction. Data scraping are structured on basis of- Human manual copy-and-paste, Text pattern matching, HTTP programming and parsing, computer vision webpage analysis and so on.


Dark side of Data Scraping

Despite having the positive views, data scraping technology gets abused by a small proportion. The most prevalent misuse being email harvesting leading to scamming and spamming of email addresses of the customers. There is an ongoing legal battle prevalent between the data scrappers and website developers.


Data scraping in modern times has advanced the internet usage, marketing and management to a whole new dimension. The job which demanded days can be finished within few seconds. Extensively used in marketing and artificial intelligence analysis it’s importance cannot be ignored.

Website Scraping – Extract Your Data


Website scraping, also known as Web Data Extraction, Web harvesting or Screen Scraping is the process of extracting large amounts of data from any given website, which is then stored locally in the local disk of the computer or in the form of a spreadsheet format. Data that is displayed by most websites can mainly be used for the purpose of viewing by consumers. These data are not open for copying on a large scale process locally. In such cases, one might be forced to copy the relevant data and simply paste in the computer file location. However, this is a tedious job as it takes up hours, days and even months, depending on the size of the date needed to be downloaded. This is where website scraping comes into the picture. Website scraping helps to automate this process of copying and pasting by loading and extracting the relevant data from many website pages at a single time, thereby saving man-hours and manpower.

The various techniques of Web Scraping

  1. Human copy paste – Some websites set up intricate barriers that do not allow Web Scraping to mine data from those websites. In such cases, human copy-pasting is the only method that comes in handy to get the desired data.
  2. Text Pattern Matching – The UNIX grep command or regular expression-matching facilities like Python offer simple methods of matching texts that have been set to be mined from the data, thereby facilitating easy web scraping.
  3. HTTP programming – In the case of static and dynamic websites, socket programming is used to post HTTP requests to the remote web servers to allow seamless data mining.

Benefits of Web Scraping

  1. Businesses require data on e-commerce websites to learn about the prices, discounts, and quality of products provided by them to get a better idea about their rivals and improve their own situation in the business market.
  2. Data mined regarding an individual or a company can be later used for statistical processes like analytics, comparisons and even investment decisions in the future.
  3. All websites depend on the choice of the consumers. The reputations of the websites depend on the liking of its users. So, by scraping data from the social media pages, the online website company can get a clear picture about its position in the market, what changes it must accomplish in order to satisfy customers and draw in new customers into the website.
  4. Online shopping mainly depends on past reviews. In order to catch fraudulent fake reviews that may affect the business in an adverse manner, web scraping comes into play to detect and locate such fake reviews.