SCRAPINGSOLUTION - Scraping Solution

Web Scraping and Advantages of Outsourcing/Scraping Partner

Web Scraping and Advantages of Outsourcing Partners Web scraping refers to the automated extraction of data from websites. It involves using software tools or scripts to retrieve information from web pages by sending HTTP requests, parsing the HTML or XML code and extracting the desired data. Web scraping enables organizations to gather vast amounts of data from multiple sources on the internet in a structured and usable format. Companies may choose to outsource web scraping to other agencies for several reasons. Outsourcing your data scraping tasks can offer several advantages compared to scraping data yourself. Here are some key benefits: Expertise and Experience: Outsourcing allows you to tap into the expertise and experience of professional software development teams. These teams specialize in building data scraping solutions and deeply understand the technologies and best practices involved. They can develop a high-quality, efficient and scalable software product that meets your requirements. Time and Cost Savings: Building a data-scraping scripts product requires significant time, effort and resources. Outsourcing eliminates the need for you to invest in hiring and training an in-house development team. It also reduces the time required for development as experienced outsourcing teams can deliver projects faster. By outsourcing, you can focus on your core business activities while the experts handle the software development process, resulting in cost savings in the long run. Access to Advanced Technologies: Scraping Specialist companies like Scraping Solution are well-versed in the latest technologies and tools used for Web Scraping. They stay updated with the evolving landscape of web scraping and have access to advanced software libraries, frameworks, and APIs that can enhance the functionality and efficiency of your data scraping solution. This ensures that your software product is developed using cutting-edge technologies and provides better results. Scalability and Flexibility: Data scraping requirements may vary and your software product must adapt accordingly. Outsourcing provides the flexibility to scale your data scraping solution based on your evolving needs. Outsourcing teams can easily accommodate changes, upgrades or expansions to your software or data, ensuring it remains effective and efficient as your data scraping requirements grow. Maintenance and Support: Building a software product or data is not a one-time task; it requires ongoing maintenance and support. By outsourcing, you can rely on the development team’s expertise for continuous maintenance, bug fixes and enhancements. This frees you from the burden of managing and maintaining the software product yourself, allowing you to focus on utilizing the scraped data to drive insights and make informed business decisions. Legal and Ethical Compliance: Web scraping involves navigating legal and ethical considerations. Outsourcing teams are experienced in handling these aspects and can ensure that your data scraping solution complies with relevant laws, terms of service and ethical guidelines. This helps mitigate the risk of legal issues and ensures that your data scraping activities are conducted in an ethical and responsible manner. Faster development cycles: Outsourcing web scraping tasks can significantly reduce development time. Specialized companies already have established frameworks, libraries, and workflows in place, allowing them to quickly develop and deploy data scraping solution. This enables software development companies to focus on their core product development, rather than spending valuable time on building and maintaining data scraping capabilities. Conclusion: Overall, outsourcing your data scraping tasks or software developments provides access to specialized expertise, reduces costs, saves time, improves scalability and ensures compliance with legal and ethical considerations. It allows you to leverage the capabilities of professional software development teams while you focus on utilizing the scraped data to gain insights and drive business growth. However, it’s important to note that when outsourcing web scraping, companies should choose reputable agencies that adhere to legal and ethical standards, respect website terms of service and prioritize data privacy and security. Written By: Umar Khalid CEO Scraping Solution follow us on Facebook Linkedin Instagram

How Scraping Solution Captured its market share in 2022

Web Scraping, Data Mining /

How Scraping Solution Captured its market share in 2022 In the post-pandemic era, the IT industry has seen a significant growth due to the shift towards remote work and digitalization. However, the market has also become highly competitive with a large number of IT service providers entering the market. In order to stay competitive and continue to grow, IT companies, particularly software houses, need to diversify their revenue streams by offering a variety of products and services, and exploring new market opportunities. Scraping-Solution has gained market share by diversifying its operations and expanding into different areas of the market by using strong marketing strategies and branding. By forming partnerships with other IT companies and organizations, the company has offered tailored services that meet the specific needs of its clients. This not only brings in more revenue but also provides valuable insights into the local market and potential opportunities for further expansion and diversifying its skill pool and operations. Therefore, For a software house to succeed in the market, it is essential to have a diverse range of skills and services to offer. Initially, Scraping-Solution only offered web scraping and data mining services, but it has expanded its portfolio to include web development, desktop applications, web applications, and backend development. This diversification proved to be successful and beneficial in the first year of offering these new services. Some of our successful gigs on top freelance marketplaces are mentioned here along with the services detials Web Scraping Service on Fiverr Scraping solution has very strong and versatile portfolio at #fiverr in web scraping and data mining niche. Infact we are the TOP SELLER and MOST REVIEWED seller in this marketplace and competing all other with a huge gap due to our versatile skills, unbeatable customer care and record completion time. Have a look at our service mentioned below by clicking on image below Web Scraping Service on Fiverr Web Scraping and Web Development Service on PPH Scraping-Solution’s second most successful venture was on PeoplePerHour where it offered two services: Web Scraping and Web Automation and Web Design and Development. Within a year, the company was able to serve around 200 clients from all over the world, particularly in the UK and the USA, and it established itself as a top-rated seller with the most reviews on the platform. You can visit the our profile and services here and here Scraping Service on PeoplePerHour Other than that, scraping solution has very strong appearance on linkedin other social media platforms which doesn’t only do branding for us but also bring us many opportunities by many ways. Conclusion For small or medium IT firms to be successful in the competitive market, they must diversify their skill set and focus on building a strong online presence. Without these efforts, it may be difficult for the company to sustain itself and compete with others in the market. Even the simplest of offerings can benefit from a proper diversification plan to stay afloat in the market. Written By Umar Khalid follow us on Facebook Linkedin Instagram

Why do we need Web Scraping?

Web Scraping, Data Mining /

Why do we need Web Scraping? Web scraping is a technique that utilizes automated intelligence to quickly and efficiently collect large amounts of data from websites, rather than manually obtaining it. This process can save time and effort and is particularly useful for gathering large amounts of information. In this blog, we will provide detailed information about the process of web scraping to give you a better understanding of it. What is Web Scraping? Web scraping is a method of automatically gathering large amounts of data from websites, typically in HTML format. This data is then converted into a structured format using databases or spreadsheets for various purposes. Professionals can use various techniques for web scraping, including APIs, online services, or creating custom code. Many well-known websites like Twitter, Google, and Facebook offer APIs for accessing their data in a structured format. However, some websites do not provide such access, making web scraping tools necessary. The process of web scraping consists of two parts: How Web Scraper Works? Web scraping can be used to extract specific data or all data from a website, depending on the user’s needs. It’s more efficient to specify what data is needed so that the web scraper can complete the task quickly. For example, when scraping a website for home appliances, one might only want data on the different models of juicers available, rather than customer testimonials and reviews. The scraping process begins by providing URLs, then loading the HTML code for those websites. Advanced scrapers may also extract JavaScript and CSS elements. The scraper then extracts the specified data from the HTML code and outputs it in a format defined by the user, such as an Excel spreadsheet or CSV file, or other formats like JSON files. Types of Web Scrapers: There are several types of web scrapers available, each with its own advantages and limitations. Benefits of Web Scraping: Web scraping can be used in various ways to gain a competitive edge in the digital retail market. follow us on Facebook Linkedin Instagram

Beginner’s Guide for Web Scraping

Web Scraping, Data Mining /

Beginner’s Guide for Web Scraping Suppose we have a website that has tons of useful data e.g.: Millions of email address or Names of Hospitals in the whole state, which needs to be downloaded, manually it would be very difficult to extract them into the computer for further process, Here comes web scraping. Web scraping makes it easier to extract data or information from websites or web pages into a personal computer in much lesser time without doing much manual work. It is done by writing code of programs that will reach the website, parse the HTML of the pages, and extract the data predefined tags of HTML. Programming languages varies but the most recommended programming language for web scraping is Python due to its processing speed, simplified syntax, mature python community and overwhelming adoption by all corporate sectors. Let’s understand by a scenario: Suppose you have a website that contains 30 thousand schools in USA, UK or say New York, and you need the names and contact numbers of these schools. Would you open 30K links and copy-paste the names and contact numbers manually? NO. So, the developer writes python code and executes it. The code will send HTTPS requests to the website and get the response back from the website in HTML. It parses this HTML, searches for names and contact numbers of schools in that HTML effectively and stores them in excel or JSON on the local computer. And this all takes much less time than doing it manually. Why Python: Easy to learn for beginners with simple syntax yet powerful programming language with collections of more than 100 thousand libraries with huge community support. Python is also known for lesser numbers of lines for large tasks as compared to other programming languages like Java or C#. What you should know before learning Web Scraping: Basic Programming in Python: Loops, if-else, try-except, list, dictionary, sets, Data Frame, typecasting etc. Built in functions like Len, type, range, break, pass, etc. Boolean operators: ‘or’, ‘and’, ‘not’. HTML: HTML (Hypertext Markup Language) is used for creating the structure of web pages and formatting its content. It is standard for creating web pages as almost all the websites on the internet have html for their structuring. It consists of elements represented by html tags, these tags contain content like text, links, images enclosed between them or sometimes enclosed in them. Applications of web scraping: Extract Data Images Contacts Customized Data E-commerce Products Scraping Comparison of Products and/or Prices Events Betting Statistics Scraping How data is delivered: The scraped data or content can be delivered in various forms. MS Excel (.xlsx) or (.csv) files are most commonly deliverables. Although JSON, SQL Database could also be good options for data storage. Main Libraries for Beginners: Pandas BS4 or Beautiful Soup Requests Selenium Extras: Basics of Servers: Servers in web scraping are used to execute time taking scraping scripts that need more computational power. Linux Commands: Proficiency in basic Linux commands is necessary for effectively utilizing Linux servers for web scraping tasks. Converting (.py) to (.exe):pyinstaller is used to convert script.py into script.exe file. Future: Web scraping could be helpful in future for data analysis, market analysis and sentiment analysis to drive the results and make data oriented decisions. Further web scraping can be extended as data mining, data preparation, Data Visualization etc. If you have any question or curious to learn and don’t know where to start from or if you have a task you want done, don’t hesitate to reach Scraping Solution by email or WhatsApp live chat follow us on Facebook Linkedin Instagram

Is web scraping legal?

Web Scraping, Data Mining /

Is web scraping legal? There has been a great talk about the legality of the scraping information from internet in past decade since the boom of IT specially the automation. Companies in marketing and other business sectors were hunting the data from all available sources but there question was always there that is scraping legal at all? This discussion was not only among the netizens but many courts in UK, Europe and USA discussed the legality of this for many years and different rulings has been passed depending upon the nature of data but none have banned them in any country. This kind of data is mostly advertised on business directories, maps or public or government databases by the companies themselves to get digital exposure. This data is legal to scrape all around the work and laws allow you to get and use this data for marketing or business purposes. Private/Personal data According to GDPR the definition of personal data is as follows “Personal data means any information relating to an identified or identifiable natural person”. Although this data is not publically available on any directories but sometimes this data comes online stolen or sold by different apps or websites. Recently, due to increasing trend of using social media, sometimes users publish their information on the websites like Facebook, Instagram or LinkedIn as well and can be easily scraped from there sources at small level. But scraping this data is not legal in most of the world, except California where you can scrape this information if published by the user itself on his/her profile from 2023. Therefore for time being is a good practice to deal with personal data and lets just focus on business-to-business data which in itself is a big field and still has unknown dimensions to explore. Ethics of Scraping Even if you are dealing with public records which is totally legit to scrape Scraping solution still uses some ethics in its process of web scraping to keep things transparent and ethical and if you are dealing with scraping you should consider these as well follow us on Facebook Linkedin Instagram