Michaelpage Jobs Scraper

What does Michael Page Jobs Scraper do?

Michael Page Jobs Scraper collects live job listings from Michael Page market sites and returns structured records with titles, locations, salaries, contract types, sectors, full descriptions, and application links. Search by keyword and location, start from a prepared search URL, or choose one of 21 country sites. The result is a clean dataset ready for hiring research, salary checks, and job alert workflows.

Why use Michael Page Jobs Scraper?

• One dataset for 21 markets - Search the United States, United Kingdom, France, Germany, and 17 other Michael Page markets without changing tools.
• Full job detail - Each record can include the complete description, salary range, sector, sub sector, consultant name, and job reference.
• Search control - Use a keyword, a location, a prepared search URL, or a whole market. The Actor follows the mode you choose.
• Reliable collection - Requests are paced and retried, so a short block does not end the run.
• Partial progress is kept - Results are saved in batches as the run proceeds.
• Automation ready - Export to JSON, CSV, Excel, or XML, or send results to Sheets, webhooks, Make, or Zapier.

What data can you extract from Michael Page?

Field	Description
title	Job title
company	Hiring organization
location	Job location, including region and country when published
salary	Salary text from the listing, for example USD90,000 - USD140,000 per year
base_salary	Structured salary with currency, minimum, maximum, and pay period
job_type	Contract type such as Permanent, CDI, or Festanstellung
job_nature	Work arrangement when the market publishes it, such as Home Office
company_type	Company type when the market publishes it
sector	Michael Page sector
sub_sector	Michael Page sub sector
industry	Industry label from the job record
date_posted	Posting date
description_html	Full description as HTML
description_text	Full description as plain text
summary	Short summary from the search result
bullet_points	Highlight bullets from the search result
consultant	Consultant name when published
job_reference	Michael Page job reference, for example JN-102026-7132007
url	Direct job page
apply_url	Direct application link
employment_type	Structured employment type, for example FULL_TIME
job_location	Structured location object
hiring_organization	Structured company object
source_domain	Market site that supplied the record
scrapedAt	Collection timestamp

How to use Michael Page Jobs Scraper

1. Open the Actor on Apify Store.
2. Enter a keyword, a location, or a prepared Michael Page search URL.
3. Choose a country site if you do not want the United States.
4. Set the result limit and page cap.
5. Run the Actor and download the dataset or connect it to a workflow.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	-	A Michael Page search URL. Takes precedence over keyword, location, and market
keyword	String	No	project manager	Search term such as data analyst or operations manager
location	String	No	-	City, region, or postal code used to narrow the search
domain	String	No	www.michaelpage.com	Country site to search
results_wanted	Integer	No	20	Maximum number of jobs to save
max_pages	Integer	No	10	Maximum number of search pages to read
maxConcurrency	Integer	No	10	Parallel job-detail requests, from 1 to 20
includeJobDetails	Boolean	No	true	Read each job page for the full description and extra fields
proxyConfiguration	Object	No	Apify datacenter	Apify datacenter proxy, residential proxy, custom proxies, or no proxy

Supported country sites

United States, United Kingdom, France, Germany, Spain, Italy, Netherlands, Switzerland, Belgium, Austria, Ireland, Portugal, United Arab Emirates, Australia, Canada, Singapore, Hong Kong, China, Japan, Mexico, and Brazil.

Output Data

Each item keeps the source field names. Empty values are omitted.

Field	Type	Description
title	String	Job title
company	String	Hiring organization
location	String	Job location
salary	String	Salary text
job_type	String	Contract type
sector	String	Sector
sub_sector	String	Sub sector
industry	String	Industry
date_posted	String	Posting date
description_html	String	Description HTML
description_text	String	Description text
url	String	Job page URL
apply_url	String	Application URL
job_reference	String	Michael Page reference
consultant	String	Consultant name
base_salary	Object	Structured salary
job_location	Object	Structured location
summary	String	Search result summary
bullet_points	Array	Search result highlights
source_domain	String	Market site
scrapedAt	String	Collection timestamp

Usage Examples

Basic keyword search

Collect 50 project manager jobs from the United States:

{
  "keyword": "project manager",
  "results_wanted": 50
}

Keyword and location

Collect finance jobs in Texas:

{
  "keyword": "finance manager",
  "location": "Texas",
  "results_wanted": 40,
  "max_pages": 3
}

Search a different market

Collect operations manager jobs from the United Kingdom:

{
  "keyword": "operations manager",
  "domain": "www.michaelpage.co.uk",
  "results_wanted": 60,
  "max_pages": 4
}

Start from a prepared search URL

Use a saved Michael Page search page:

{
  "startUrl": "https://www.michaelpage.com/jobs?search=data+analyst&location=California",
  "results_wanted": 75,
  "max_pages": 5
}

Sample Output

{
  "title": "Project Manager",
  "company": "Michael Page",
  "location": "Branford, Connecticut, US",
  "salary": "USD90,000 - USD140,000 per year",
  "job_type": "Permanent",
  "sector": "Construction",
  "sub_sector": "Project Manager",
  "industry": "Construction",
  "date_posted": "2026-10-22",
  "description_html": "<p>Manage multiple civil and sitework construction projects from preconstruction through closeout.</p>",
  "description_text": "Manage multiple civil and sitework construction projects from preconstruction through closeout.",
  "url": "https://www.michaelpage.com/job-detail/project-manager/ref/jn-102026-7132007",
  "apply_url": "https://www.michaelpage.com/job-apply/project-manager/ref/jn-102026-7132007",
  "job_reference": "JN-102026-7132007",
  "consultant": "Rick Mancini",
  "base_salary": {
    "currency": "USD",
    "unitText": "YEAR",
    "minValue": "90000",
    "maxValue": "140000"
  },
  "employment_type": "FULL_TIME",
  "summary": "This is an excellent opportunity for a construction professional looking to manage multiple high-impact projects.",
  "bullet_points": [
    "Growth Potential",
    "Excellent backlog of work"
  ],
  "source_domain": "www.michaelpage.com",
  "scrapedAt": "2026-10-22T15:55:00.000Z"
}

Tips for Best Results

• Start with 20 to 50 results to confirm the search before scaling up.
• Use specific role names instead of broad terms to improve relevance.
• Keep max_pages aligned with the number of results you want. Most markets show 30 jobs per page; France and China show 20.
• Leave the country site on United States unless you need local listings from another market.
• If a market publishes no salary, the salary fields stay empty. That reflects the source page, not a failed run.
• Schedule repeat runs to track new openings and removed roles.
• For a fast listing-only run, set includeJobDetails to false. You get titles, locations, salaries, contract types, summaries, and job links without opening each job page.
• For large detail runs, use a proxy and raise maxConcurrency to 12 or 16. The Actor opens several proxy sessions and fetches listing pages in parallel.

Proxy guidance

Apify datacenter proxy is enabled by default. It avoids the site throttling that direct requests receive and keeps large runs fast.

In a 200-job test, datacenter with 16 concurrency finished in 46 seconds. With the default settings, the same run finished in 57 to 90 seconds. Residential finished in about one minute. No proxy took 4 to 7 minutes.

The Actor pins Apify Proxy to the market country automatically when you do not set one. For example, www.michaelpage.com uses US proxies and www.michaelpage.co.uk uses GB proxies.

• Datacenter proxy: the default. Recommended for large or repeated detail runs.
• Residential proxy: works and uses residential bandwidth. Use it when datacenter proxies are blocked or when you need a different network identity.
• No proxy: clear the proxy configuration for small or occasional runs, or when includeJobDetails is false.

Integrations

• Google Sheets - Build shared hiring trackers and salary tables.
• Webhooks - Send new roles to an internal job board or alerting service.
• Make or Zapier - Route records to CRM, ATS, or messaging tools.
• Apify API - Pull datasets into your own applications and dashboards.
• CSV, Excel, JSON, XML - Download results in the format your team uses.

Frequently Asked Questions

Can I scrape jobs from more than one country?

Yes. Choose a country site from the domain field. The Actor supports 21 Michael Page markets.

Can I search by city or region?

Yes. Add a value to location, for example New York, Texas, or London.

Does the Actor open each job page?

Yes. It reads the search results first, then collects the full description and structured details from each job page.

Why is a salary field missing?

Some employers do not publish a salary. In that case the salary fields are omitted for that job.

Can I export the dataset to CSV or Excel?

Yes. Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats.

Can I schedule the Actor?

Yes. Use Apify Schedules to run it hourly, daily, weekly, or at another interval.

What happens if a job page cannot be opened?

The run keeps the search result fields for that job and continues with the rest. A warning appears in the run log.

Can I use a prepared Michael Page URL?

Yes. Put the search URL in startUrl. It overrides the keyword, location, and market fields.

Support

For issues or feature requests, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor collects data from publicly available Michael Page job pages. Users are responsible for complying with applicable laws, website terms, and privacy rules, and for using the data responsibly.