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Broadband Communications, Networks, and Systems. 14th EAI International Conference, BROADNETS 2024, Hyderabad, India, February 16–17, 2024, Proceedings, Part II

Research Article

SearchScrapeAssistant Application Using RPA Tool

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-81171-5_16,
        author={S. Adityeshwar Goud and Sindhuja Ramala and PavanTeja Modugu and Ravi Kumar and Amit Lathigara and M. Vinay Kumar Redy},
        title={SearchScrapeAssistant Application Using RPA Tool},
        proceedings={Broadband Communications, Networks, and Systems. 14th EAI International Conference, BROADNETS 2024, Hyderabad, India, February 16--17, 2024, Proceedings, Part II},
        proceedings_a={BROADNETS PART 2},
        year={2025},
        month={2},
        keywords={Robotic Process Automation (RPA) UiPath Web Scrapping Data Extraction Linkedin},
        doi={10.1007/978-3-031-81171-5_16}
    }
    
  • S. Adityeshwar Goud
    Sindhuja Ramala
    PavanTeja Modugu
    Ravi Kumar
    Amit Lathigara
    M. Vinay Kumar Redy
    Year: 2025
    SearchScrapeAssistant Application Using RPA Tool
    BROADNETS PART 2
    Springer
    DOI: 10.1007/978-3-031-81171-5_16
S. Adityeshwar Goud1, Sindhuja Ramala1, PavanTeja Modugu1, Ravi Kumar1,*, Amit Lathigara2, M. Vinay Kumar Redy2
  • 1: Department of Information, Technology
  • 2: Department of Information, RK University
*Contact email: ravikumar.e@gmail.com

Abstract

The goal is to develop a solution using UiPath Studio’s Robotic Process Automation (RPA) capabilities to scrape relevant data from LinkedIn profiles and pages efficiently and accurately. The solution should be able to navigate through LinkedIn’s web interface, search for specific profiles or keywords, ex-tract desired information from profiles and pages, and store the extracted data for further analysis or integration with other systems. The specific challenges to address include Authenticating and accessing LinkedIn’s website, Navigating and interacting with LinkedIn’s user interface, Extracting structured data, Handling pagination and multiple search results, Error handling and resilience. By addressing these challenges, the goal is to develop a UiPath Studio automation workflow that can extract relevant data from LinkedIn web pages efficiently and reliably. The extracted data can then be used for various business purposes, providing valuable insights and streamlining processes that rely on LinkedIn data. And also to develop the solution in such a way that if the user doesn’t want anything from LinkedIn then it will ask for any other query that the user wants to know and navigates that input to the chat GPT and finds the answer for the query and displays it to the user.

Keywords
Robotic Process Automation (RPA) UiPath Web Scrapping Data Extraction Linkedin
Published
2025-02-07
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-81171-5_16
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