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Automated Extraction of Company Tickers and Associated Details from LSE for Enhanced Decision-Making

Web Data Automation for Finance Case Study

Problem Statement

Our client, a leading global provider of business information solutions and legal databases, requires accurate extraction of company tickers from the London Stock Exchange (LSE) website. This data includes market, listing category, and FTSE index. Maintaining optimal data accuracy and integrity holds paramount importance for the client’s operational success.

Our solution

  • Automated Data Scraping: Implement web scraping tools to extract company tickers and associated details (market, listing category, FTSE index) from the LSE website.
  • Data Parsing and Structuring: Parse the scraped data and organize it into a structured format suitable for the client’s database system.
  • Deduplication Process:  Eliminate Content Duplication from Trusted Sources like Investegate and Morningstar by Utilizing RNS Numbers as Unique Identifiers for Efficient Removal of Duplicates
  • Quality Control (QC): Implement a QC process to verify the accuracy of the scraped and cleaned data, aiming for a 98% accuracy rate.
  • Data Delivery: Integrate the cleaned and validated data into the client’s existing allocation system, ensuring seamless data update and accessibility.

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    Benefits

    • High Data Accuracy: Achieved 98% accuracy through automated scraping, deduplication, and stringent QC processes.
    • Efficiency and Time Savings: Automation reduces the manual effort required for data collection and cleaning, allowing the client to focus on more strategic tasks.
    • Enhanced Data Integrity: Deduplication using RNS numbers ensures that the dataset is free from redundant entries, improving the overall quality of the data.

    The implementation of automated data extraction from the London Stock Exchange and the elimination of duplicate content from trusted sources addresses the client’s requirements effectively. This solution not only enhances data accuracy and integrity but also improves operational efficiency, providing a robust framework for future scalability. By leveraging advanced data scraping and cleaning techniques, the client can ensure their business information solutions remain reliable and up-to-date.

    Contact us for a solutions demo: