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Creating a tool to generate weekly reports of newly formed recruitment agencies in the UK using Companies House data involves several steps. Here’s a structured approach to achieve this: 1. Define the Scope and Requirements Target Audience: Recruitment agencies, business developers, and market analysts. Data Source: Companies House information. Output: Weekly reports of newly formed recruitment agencies, including relevant details. 2. Collect and Preprocess Data A. Access Companies House Data API Access: Obtain API access to Companies House for retrieving company information. Data Fields: Extract relevant fields such as: Company Name Company Number Date of Incorporation SIC (Standard Industrial Classification) Code Registered Address B. Filter for Recruitment Agencies SIC Codes for Recruitment: Identify SIC codes related to recruitment agencies. Examples include: 78109 - Other activities of employment placement agencies 78200 - Temporary employment agency activities 78300 - Human resources provision and management of human resources functions 3. Develop the Weekly Update System A. Data Collection Fetch Data Weekly: Set up a scheduled job to fetch data from Companies House on a weekly basis. Filter by Incorporation Date: Filter companies based on the incorporation date to get only newly formed companies. B. Filter by SIC Code Filter Recruitment Agencies: Filter the fetched data to include only companies with SIC codes related to recruitment agencies. 4. Report Generation A. Data Formatting Structure Data: Organize the filtered data into a structured format (e.g., CSV, Excel). Include Relevant Details: Ensure the report includes key details such as company name, incorporation date, address, and SIC code. B. Automate Report Creation Script for Report Generation: Write a script to automatically generate the report in the desired format. Save/Send Reports: Save the report to a designated location or send it via email to the intended recipients. 5. Automate the Process A. Scheduling CRON Jobs: Use CRON jobs or a similar scheduling tool to automate the weekly data fetching and report generation. Notification System: Set up a notification system to alert relevant stakeholders when the new report is available. 6. Validate and Iterate Testing: Test the system with real-world data and refine the process based on feedback. Iteration: Continuously improve the filtering and report generation process. Tools and Technologies Data Collection: Python (requests), Companies House API. Data Processing: Pandas for data manipulation. Report Generation: Pandas, Openpyxl for Excel files, or CSV module. Automation: CRON jobs, Celery for task scheduling. Notification: Email libraries such as smtplib for sending emails.
Technology & Programming peopleperhour Overseas
372 days ago