
Weekly updated database, data sourced via Companies House API
- or -
Post a project like this£350(approx. $467)
- Posted:
- Proposals: 15
- Remote
- #4221365
- OPPORTUNITY
- Expired
PHP | Python | NodeJS | Laravel | React | HTML | CSS | JS | Data Scraping | Data Mining | Data Processing | Pandas | Excel work,
Ranked #1 In WordPress Development on PPH | SEO Specialist | Web Design & Development

AI Developer | Go from +AI to AI+ | Book Free Audit | Driving $100K+/year savings through AI-powered autonomy
⚡ Data Scientist & Data Extraction Expert | Python, Excel Dashboards, Tableau, VA Support |PowerPoint Presentation

software engineer|Full-Stack Software Developer| web developer| App developer | AI Engineer | WordPress
Full Stack Developer : PHP| React | Angular | Node.js | IONIC | React Native | Mobile App Development

Web Scraping & Automation Expert | 500M+ Records Delivered | SaaS and Custom Web App Development

41379731129494210889716844514311193042931581517144403427171632917274413843324741309748





Description
Experience Level: Expert
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.
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.

Nitin S.
0% (0)Projects Completed
-
Freelancers worked with
-
Projects awarded
0%
Last project
15 Oct 2025
United Kingdom
New Proposal
Login to your account and send a proposal now to get this project.
Log inClarification Board Ask a Question
-
There are no clarification messages.
We collect cookies to enable the proper functioning and security of our website, and to enhance your experience. By clicking on 'Accept All Cookies', you consent to the use of these cookies. You can change your 'Cookies Settings' at any time. For more information, please read ourCookie Policy
Cookie Settings
Accept All Cookies