TotalJobs Scraper 🎯

TotalJobs Scraper 🎯

Scrape job listings from TotalJobs.com. Extract detailed job information including titles, companies, locations, salaries, and more. Perfect for job market analysis, recruitment research, and tracking employment trends.

JOBSLEAD_GENERATIONINTEGRATIONSApify
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Powerful scraper for extracting job listings data from TotalJobs.com, one of UK's leading job boards. This actor helps you gather comprehensive job market intelligence efficiently.

Features ✨

  • 🔍 Scrape job listings from any TotalJobs search URL
  • 📊 Extract detailed job information including:
    • Job title and unique ID
    • Company details (name, logo, URL)
    • Location and postcode
    • Salary information
    • Posting dates and validity period
    • Job labels and skills
    • Full job description snippets
  • ⚡ Fast and efficient pagination handling
  • 🛡️ Built-in proxy support
  • 🤖 Stealth browsing capabilities
  • ⏱️ Customizable delay between requests

Usage 💡

Simply provide one or more TotalJobs search URLs and set your desired maximum number of items to scrape. The actor will automatically handle pagination and extract all matching job listings.

Input Parameters 📝

  • jobSearchUrls: Array of TotalJobs search URLs to scrape
  • maxItems: Maximum number of job listings to collect (optional)
  • proxyConfiguration: Proxy settings (optional)

Output 📋

The actor stores results in a dataset, with each item containing detailed job information including:

  • Job details (ID, title, URL)
  • Company information
  • Location data
  • Salary details
  • Posting dates
  • Labels and skills
  • Text snippets
  • Metadata

Use Cases 🎯

  • Market research and analysis
  • Recruitment and HR intelligence
  • Salary benchmarking
  • Job market trend analysis
  • Competitive intelligence
  • Data aggregation for job boards

Tips 💪

  • Use specific search URLs with filters for more targeted results
  • Adjust maxItems based on your needs
  • Enable proxy configuration for better reliability

Need help or have questions? Feel free to reach out! 🤝

Input Example

A full explanation of an input example in JSON.

1{
2    "jobSearchUrls": [
3        "https://www.totaljobs.com/jobs/sale/in-city-of-london?action=facet_selected%3bage%3b1&postedWithin=1"
4    ],
5    "maxItems": 50
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "jobSearchUrl": "https://www.totaljobs.com/jobs/sale/in-city-of-london?action=facet_selected%3bage%3b1&postedWithin=1",
4        "id": 104278874,
5        "title": "Sale Manager - Working From_",
6        "labels": [],
7        "url": "https://www.caterer.com/job/sale-manager-working-from/the-hoxton-southwark-job104278874?src=search&page=1&position=1&WT.mc_id=A_PT_CrossBrand_Totaljobs",
8        "companyId": 1060493,
9        "companyName": "The Hoxton Southwark",
10        "companyUrl": "https://www.totaljobs.com/jobs/the-hoxton-southwark?cmp=1",
11        "companyLogoUrl": "https://www.caterer.com/companylogos/2c0ea70acdef440ab02c5f3708e5f819.png",
12        "datePosted": "2025-02-15T02:04:14.293",
13        "location": "Southwark, SE1 8NY",
14        "isAnonymous": false,
15        "salary": "Unspecified",
16        "postCode": "SE1 8NY",
17        "partnership": {
18            "isPartnershipJob": false,
19            "showPartnershipLabel": false,
20            "isBackfilled": true,
21            "sourceSiteFriendlyName": "Caterer.com",
22            "isCrossPosted": false
23        },
24        "unifiedSalary": null,
25        "workFromHome": "",
26        "metaData": {
27            "positionOnPage": 1,
28            "positionAbsolute": 1
29        },
30        "jobPostingSequence": 1,
31        "periodPostedDate": "2025-02-15T02:04:14.293",
32        "publishFromDate": "2025-02-06T18:55:38.783",
33        "publishToDate": "2025-03-20T18:55:38.783",
34        "hasFuturePosting": false,
35        "fingerprintCount": 1,
36        "section": "main",
37        "topLabels": [
38            {
39                "label": "NEW",
40                "type": "NEW"
41            }
42        ],
43        "skills": [],
44        "textSnippet": "We are looking for a <strong>Sales</strong> Manager at Working From_. As aSales Manager,you will be responsible for achieving all membership <strong>sales</strong> targets and driving the initiatives set for membership growth. * The <strong>Sales</strong> Manager will ensure the product reflects the brand and the diverse community in Southwark and beyond. Taking full ownership of the <strong>sales</strong> process conducting training when needed. * Work closely with both the Membership Engagement Manager and Coordinator creating accurate contracts and maintaining the membership CRM from a <strong>sales</strong> perspective. * Prepare weekly <strong>sales</strong> meeting <strong>sales</strong> reports, forecasts, and pipeline. * Prepare quarterly and yearly <strong>sales</strong> plans to ensure the best opportunity to achieve financial targets. * Oversee the LinkedIn",
45        "cvToJobScore": 0,
46        "isHighlighted": false,
47        "isSponsored": false,
48        "travelTime": null,
49        "unifiedTravelTime": null,
50        "isTopJob": false,
51        "isTrafficFromPartner": false,
52        "scrapedAt": "2025-02-15T11:27:14.593Z"
53    },
54    ...
55]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!