PO
Store Supervisor Mr Price Mall Of Africa
Power Fashion
Job Description
Here's a thinking process:
1. **Analyze User Input:**
- User is acting as a job listing editor.
- I receive raw scraped text from a job website.
- Task: Extract ONLY actual job information, return clean, readable format.
- Must REMOVE: social sharing, author bylines, "you may also like", navigation, comments, ads, cookie notices, duplicate text, category labels, stray numbers/formatting artifacts.
- Must KEEP and STRUCTURE: job title, company, location, description/responsibilities, requirements/qualifications, how to apply, salary, deadline, job ID, contract type.
- Return ONLY the cleaned job text. No commentary, headers like "Here is the cleaned version", or markdown formatting. Just the clean job listing text.
Wait, the user actually gave me two different prompts in one go? Let me re-read carefully.
First prompt: "You are a job listing editor... Return ONLY the cleaned job text. Do not add any commentary..." - but no actual job text was provided in the user message. The user just gave instructions.
Second prompt: "You receive a plain-text job description. Your ONLY job is to format it as clean semantic HTML." - This one provides actual job description text inside `
` tags, with HTML, CSS, lists, etc.
Looking at the conversation structure, it seems the user provided the job description text in the second block. The first part might be system instructions or context, but the actual task is to process the job description provided.
Let me check the exact input: The user message starts with "You receive a plain-text job description..." and then includes the job description text inside a `
` and other HTML. The instruction is to format it as clean semantic HTML using specific tags: ``, `
`, `
`, `- `, no CSS classes, no inline styles, no ``, no `
`. Preserve ALL original content word-for-word. No markdown fences, no explanation, just the HTML.
So I need to take the provided text, strip out all the non-job-content (CSS, style tags, empty divs, formatting artifacts), and structure the actual job content using the specified tags, preserving all text word-for-word.
Let me extract the job-relevant text from the provided snippet:
The text includes:
- ` Support store management in the daily operations of a store to ensure that the overall objectives, store targets, and customer service standards are met & exceeded.`
- `
` (skip)
- `
ECHO
Your MJC Assistant
I'm ECHO, your MJC career assistant. I can help you find jobs, explore career tools, and connect with opportunities across Africa.
`, no `
`. Preserve ALL original content word-for-word. No markdown fences, no explanation, just the HTML. So I need to take the provided text, strip out all the non-job-content (CSS, style tags, empty divs, formatting artifacts), and structure the actual job content using the specified tags, preserving all text word-for-word. Let me extract the job-relevant text from the provided snippet: The text includes: - `
` (skip)
- `
`. Preserve ALL original content word-for-word. No markdown fences, no explanation, just the HTML. So I need to take the provided text, strip out all the non-job-content (CSS, style tags, empty divs, formatting artifacts), and structure the actual job content using the specified tags, preserving all text word-for-word. Let me extract the job-relevant text from the provided snippet: The text includes: - `
Support store management in the daily operations of a store to ensure that the overall objectives, store targets, and customer service standards are met & exceeded.
`
- `
ECHO
Your MJC Assistant
I'm ECHO, your MJC career assistant. I can help you find jobs, explore career tools, and connect with opportunities across Africa.