Writing A Ground Breaking Research Paper


Data scraping, the process of extracting data from websites or other sources, can be a valuable tool in academic research. It can aid researchers in gathering, organizing, and analyzing vast amounts of information that may be otherwise difficult or time-consuming to collect manually. This data can then be analyzed to help write academic research papers.


Our client, a research organization, required a complete list of non-profit organizations located within a specific geographic area. As the necessary information was not readily available, our team employed the use of a web scraper for data scraping from a large non-profit directory website.

Solution Overview

Understanding Client Needs

Understanding the client's specific needs was paramount to successfully executing the project. Our initial consultations involved detailed discussions with the client to pinpoint the exact geographic location and the scope of information required about the non-profit organizations. From there, we were able to create a blueprint that outlined what steps would be needed to extract the relevant data, clean it, and feed it into a final report generation for analysis.

Data Scraping Layer

Our web scraper systematically navigated through the non-profit directory website to extract essential data points such as organization name, location, website, and contact information. To handle a large amount of data, we utilized distributed resources, which allowed us to distribute the workload across several servers to extract the required data efficiently.

Data Engineering Layer

After the web scraping/data scraping process, we performed data cleaning and verification to ensure the accuracy of the information obtained. Our team eliminated duplicate entries and corrected any errors found in the dataset. We also verified the contact information for each organization to ensure that the information was up-to-date and accurate.

Report Generation

We delivered the final data set in CSV format, which our client could easily integrate into their internal database. The CSV file contained an analytic report to help filter and focus on the points of the data that were most relevant to her academic research. Additionally, we provided our client with the web scraper script to update the data set periodically to maintain the accuracy of the information.

Conclusion & Next Steps

Overall, the data scraping process using our custom web scraper was instrumental in providing our client with a comprehensive list of non-profit organizations in their target area. By utilizing distributed web scraping, we were able to extract the necessary data efficiently. Our data cleaning and verification process ensured that the final data set delivered to our client was free from errors and duplicates. The client was impressed with the ease of integration of the data set into their internal database and was pleased with the web scraper script provided to update the data periodically.