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Jobsite.co.uk Jobs Scraper

Collect UK job listings from Jobsite.co.uk at scale. This scraper reads the structured data the site renders into every search page, so it returns 35+ clean fields per job without opening a browser. Search by keyword, location, and filters, or paste search URLs directly. An optional detail mode opens each job page for the full description, GPS coordinates, employment type, and company profile.

Why this scraper

• 35+ fields per job straight from the listing page, including parsed salary (min, max, currency, period), the original posting source, skills, and a text snippet.
• Listing pages run on Datacenter connections, so a basic run is fast and inexpensive and works on the free plan.
• Optional full details add the complete job description, latitude and longitude, employment type, valid-through date, apply type, and company profile (benefits, videos, industries).
• Two modes: build a search from filters, or paginate any Jobsite.co.uk search URL.
• Server-side filters match the website: keyword, location, job type, advertiser type, minimum salary, posted-within, and sort order.
• Built-in connection management: country rotation, automatic failover, retry handling, and a residential request cap so a run can never overspend.

Data you get

Sample shape: values are illustrative placeholders, not from a live listing.

When fetchDetails is enabled, each record is also enriched with:

contactPhones and contactEmails are a best-effort harvest of any contact details a recruiter typed into the job description (or exposed as a tel/mailto link). The platform does not publish structured company contact details, so these are populated only on the minority of posts (mostly recruitment agencies) that include them; most records return empty arrays.

How to use

Basic search by location:

{
"mode":"search",
"locations":["London"],
"maxPages":3
}

Keyword search with filters:

{
"mode":"search",
"locations":["Manchester"],
"keywords":"java developer",
"jobType":"permanent",
"minSalary":50000,
"salaryType":"annual",
"postedWithin":7,
"sortBy":"date",
"maxListings":100
}

Full details (needs Apify Residential GB):

{
"mode":"search",
"locations":["London"],
"keywords":"nurse",
"fetchDetails":true,
"maxListings":50,
"proxy":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"],"apifyProxyCountry":"GB"}
}

Paginate search URLs directly (multiple supported):

{
"mode":"url",
"urls":[
"https://www.jobsite.co.uk/jobs/in-london",
"https://www.jobsite.co.uk/jobs/contract/in-leeds?postedWithin=3"
],
"maxPages":5
}

Input parameters

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape — the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each record — not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify → Settings → Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Output example

Sample shape: values are illustrative placeholders, not from a live listing.

{
"rowType":"job",
"jobId":100000001,
"harmonisedId":"00000000-0000-0000-0000-000000000000",
"jobUrl":"https://www.jobsite.co.uk/job/sample-job-title/sample-company-job100000001",
"sourceSite":"Totaljobs.com",
"title":"Sample Job Title",
"datePosted":"2026-01-01T00:00:00.000Z",
"employer":{
"id":0,
"name":"Sample Company",
"url":"https://www.jobsite.co.uk/jobs/sample-company?cmpId=0&cmp=1",
"logoUrl":"https://www.jobsite.co.uk/CompanyLogos/0.png",
"isAnonymous":false
},
"location":{
"text":"Sample Town, Sample County (AA0), AA0 0AA",
"postalCode":"AA0 0AA",
"locality":"Sample Town",
"region":"Sample County",
"country":"GB",
"latitude":51.0000,
"longitude":0.0000
},
"salary":{"rawText":"£30,000 - £40,000 per annum","min":30000,"max":40000,"currency":"GBP","period":"year"},
"skills":["Sample Skill A","Sample Skill B"],
"textSnippet":"Short preview of the job description appears here.",
"crossPostedCount":1,
"partnership":{"isBackfilled":true,"isCrossPosted":false,"sourceSiteFriendlyName":"Totaljobs.com"},
"employmentType":["FULL_TIME"],
"industry":"Sample Industry",
"applyType":"DirectApply",
"descriptionText":"Full plain-text job description appears here.",
"company":{"jobsCount":10,"industries":[],"benefits":[]}
}

Plan requirement

• Listing mode works on any Apify plan using the default Apify proxy (Datacenter).
• Full details (fetchDetails) require Apify Residential with country GB. Datacenter and non-GB residential connections are refused on job pages. Residential is available on the Starter plan and above.
• Use maxResidentialRequests to put a hard cap on residential usage per run.