Education Data Scraping Services

Yes! iWeb Scraping has the ability to gather data from multiple educational sources at once. For example, we collect data from university websites, an array of online learning portals, various academic directories, and research portals. Then we aggregate all of that information into one location, turning disparate sources into structured datasets. This method allows organizations access to meaningful and accurate content from around the world that comprises both education and EdTech.

Yes! iWeb Scraping creates custom scraping solutions based on the needs of each organization. This means that each organization controls what sources they want to scrape. They can also control how frequently they want their scraped data and what format they would like to receive the data in. Plus they can control what data fields they would like to have scraped. With such a high level of control, each organization’s datasets will align closely with their own business goals.

Yes! We have the ability to scrape information from educational institutions around the globe by employing our data scraping technology. This is done no matter where they are located or the type of platform being used. iWeb Scraping uses technology to extract education data from all parts of the world. This is regardless of the website structure, language, or format of the data being scraped.

Yes! iWeb Scraping provides structured data in a format that can be easily imported into most analytics tools. Businesses can also utilize the scraped data to develop dashboards or reporting systems that provide a broader view of course and university trends, provide information on existing and emerging educational institutions, or quantify trends in EdTech development, and provide both meaningful insights and data for decision-making purposes.

Yes! iWeb Scraping can continuously monitor individual universities’ and educational providers’ course catalogs and programs for updates. Our monitoring system will notify you when a new course is added or an existing course is modified or removed from a listing. Based on your data scraping, we will update your results based on our monitoring frequency. Having this proactive approach allows colleges, universities, and EdTech companies to respond in real-time to any changes that may affect academic curriculum and the demand for student services.

An example of an educational website might be Coursera, an online platform for offering courses from various universities as well as job training programs and courses. Another example is edX, a MOOC (massive open online course) provider that provides online learning through MOOC courses. Both of these sites are good examples of how educational websites can offer a variety of different options for users.

At iWeb Scraping, we utilize structured validation and normalization processes to ensure data consistency. Our systems compare the records that have just been collected with those that are already present, and organize them based on standard formatting. Version control allow us to see how our datasets have changed through time. This means that even though a source website may change, an organization can still look at historical data for trends and have reliable datasets of data.

Absolutely! We, iWeb Scraping, provide a multilingual education data extraction solution for all corners of the globe and have created systems that facilitate the extraction and collection of educational data from virtually all types of global education institutions and platforms, regardless of their language. Our language parsing technology converts this information into a common format that can be analyzed, allowing for organizations to analyze the global education market.

We monitor all educational institutions’ source web pages in real time 24 hours a day via web scraping and have automated systems that alert us to webpage layout and/or structural changes. If a site has changed its layout/structure we will update our scrape script/workflow accordingly so we can continue to pull that data post changes. Our systematic approach will alleviate any disruption to our organizations’ ability to obtain reliable information from educational institution source web pages.

Yes! iWeb Scraping is based on an enterprise-level architecture; we provide a scalable environment that can be used to collect large amounts of data from educational institutions in various countries. We can utilize distributed systems to enable the collection of large volumes of data from multiple educational institutions, regions and online platforms. Our scalable architecture provides the capability to support high levels of performance, reliability, and accuracy, regardless of the size of the project, which allows us to collect millions of academic records in a short period of time and with little effort.

Yes, when done in accordance with the law and ethically, it is legal to scrape data. iWeb Scraping collects only publicly accessible data, adheres to the terms of service (‘TOS’) of each website we scrape, and is compliant with the various data protection laws (i.e., GDPR). We believe that using data responsibly and transparently is critical, which provides organizations with education datasets that have been obtained as legally as possible while protecting individuals’ privacy and complying with applicable laws.

Do you collect private student information?

iWeb Scraping meets the requirements of relevant regulations with GDPR and other global data protection legislation by employing stringent data handling and processing procedures. Our data collection procedures are based on collecting a limited amount of data that has been made publicly available with responsible data management practices. Our compliance to international standards of privacy and security is achieved through the utilization of secure data storage and limited access rights while monitoring data handling workflows.

iWeb Scraping applies numerous methods of protecting both the integrity of and confidentiality of education datasets. We always use an encrypted data transmission process, a secure data storage network infrastructure, and a strict access policy to ensure only authorized personnel have access to education datasets. Education datasets are protected by various security processes as they are collected, processed and delivered to the organization to be analyzed or used by the company that purchased the dataset.

iWeb Scraping employs data governance practices to minimize the risk of abuse of education data. Education data sets are controlled using role-based access permissions and internal monitoring software. Data sets are also accompanied by complete guidelines for use at the time they are received by organizations. These steps ensure that all education data sets are only used for legitimate purposes such as research, analytics and business intelligence.