Job Data Aggregation Solution

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Job Data Aggregation Solution

Web Data Automation for Recruitment Case Study

Problem Statement

An American multinational company handed Mobius the responsibility of weekly job data aggregation from specific sources. This task involved extracting key job data points from diverse job listing websites, with a focus on maintaining accuracy and reliability throughout.

Our solution

Mobius devised a comprehensive solution to address the challenges associated with job data aggregation:

The task encompassed job data aggregation services for the client from specified sources. The process involved analyzing the provided source, crafting data crawl agents capable of efficiently harvesting the required job data points, and delivering the data output as per the client’s specifications. A one-time setup of crawl agents was performed with weekly refresh cycles to ensure updated job listings.

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The solution encompassed the following steps:

Source Analysis and Agent Build/Set-Up: Thorough analysis of the designated source led to the development of tailored data crawl agents proficient in efficiently harvesting essential job data points.
Agent Execution and Data Extraction: Configured agents were deployed to scrape job data from the specified source, capturing essential data points outlined by the client.
Delta Capture and Quality Audit: Comprehensive checks captured any changes or updates in job listings during refresh cycles. A rigorous quality audit ensured the accuracy and completeness of the extracted data.
Output Delivery: The aggregated job data was compiled into CSV files, adhering to the client’s specified format and including more than 10 essential data points such as Title, Title URL, Request , Job Status, Functional Area, Region, Overtime Eligibility, Position Overview, Date, Organization Overview, City, State, and Country.

Benefits

Enhanced Data Accuracy: Implementation of meticulous data aggregation processes and rigorous quality audits ensured a high level of data accuracy, boasting a remarkable 99% accuracy rate. Clients received reliable job information for analysis and decision-making.
Time Efficiency: Streamlined processes and automated data extraction techniques significantly reduced the time required for job data aggregation. Efforts were reduced by 45%, enabling the prompt delivery of updated job listings.
Improved Decision-Making: With access to comprehensive and up-to-date job data, the client gained valuable insights into job market trends. This enabled informed decision-making regarding recruitment strategies and talent acquisition efforts.