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CWJobs Scraper - UK Tech Jobs, Salaries, Employers and Company Profiles

Scrape tech and IT job listings from CWJobs.co.uk into clean, structured rows. Search by keyword and location with filters for work type, salary, posting date and sort order, or paste listing and job URLs you already have. Every job comes back with the title, salary, location with GPS, full description, posting and expiry dates, and a rich employer profile (company size, founded year, industry, total jobs, and a profile video where available).

Why this scraper

• 40+ fields per job, including employer profile data (company size, founded year, industry, jobs count, profile video) that other CWJobs scrapers do not return.
• Listing-first design walks about 25 jobs per request, so it is fast and light on connection usage.
• Structured salary parsing: minimum, maximum, currency and period pulled from the salary band.
• GPS coordinates, postal code and full address on every job that publishes them.
• Two modes: keyword and location search, or direct URL input (listing pages and single job pages).
• Server-side filters for work type, minimum salary, posting date and sort order, all verified to narrow results.
• Resilient connections: automatic retry on refused requests, connection rotation across regions, and a backup route, with a clear warning when a paid proxy is recommended.
• Optional detail fetching: turn it off for a faster, leaner run that still returns the core listing fields.

Data you get

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

How to use

Basic keyword and location search:

{
"mode":"search",
"keywords":["javascript"],
"locations":["london"],
"maxPages":3
}

Search with filters (permanent roles, at least £60k per year, posted in the last week, newest first):

{
"mode":"search",
"keywords":["data engineer","devops"],
"locations":["london","manchester"],
"workType":"permanent",
"minSalary":60000,
"salaryPeriod":"annual",
"postedWithin":"7",
"sortBy":"date",
"maxPages":5,
"maxListings":200
}

Lean run, no detail fetching (faster, fewer connections):

{
"mode":"search",
"keywords":["python"],
"locations":["remote"],
"fetchDetails":false,
"maxPages":2
}

Direct URL input (listing pages and a single job page in one run):

{
"mode":"url",
"urls":[
"https://www.cwjobs.co.uk/jobs/javascript/in-london",
"https://www.cwjobs.co.uk/jobs/devops/in-manchester",
"https://www.cwjobs.co.uk/job/sample-job-title/sample-employer-job00000001"
],
"maxPages":2
}

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",
"listingUrl":"https://www.cwjobs.co.uk/jobs/javascript/in-london",
"jobId":"00000001",
"externalId":"00000000-0000-0000-0000-000000000000",
"jobUrl":"https://www.cwjobs.co.uk/job/sample-job-title/sample-employer-job00000001",
"title":"Sample Senior Software Engineer",
"description":"Full job description HTML appears here when fetchDetails is on.",
"workType":"Permanent",
"industry":"IT, IT-Software Development",
"datePosted":"2026-01-01T00:00:00.000Z",
"validThrough":"2026-02-01T00:00:00.000Z",
"directApply":true,
"applyType":"internal",
"salaryText":"£60,000 - £70,000 per annum",
"salaryMin":60000,
"salaryMax":70000,
"salaryCurrency":"GBP",
"salaryPeriod":"annum",
"locationText":"Sample Town, Sample Region, AA1, GB",
"locationPostalCode":"AA1",
"latitude":51.5000,
"longitude":-0.1000,
"employerName":"Sample Employer",
"employerId":0000000,
"companyEmployees":"50 - 199",
"companyFounded":1999,
"companyIndustries":["IT & Internet"],
"companyJobsCount":12,
"employer":{
"name":"Sample Employer",
"employees":"50 - 199",
"founded":1999,
"industries":["IT & Internet"],
"jobsCount":12,
"description":"Company profile description appears here.",
"videoUrl":"https://player.vimeo.com/video/000000000"
},
"scrapedAt":"2026-01-01T00:00:00.000Z"
}

Plan requirement

CWJobs admits clean UK residential connections most reliably. Apify Residential with country United Kingdom is recommended and is the default. Datacenter connections also work, but a share of datacenter addresses are refused, so the actor retries automatically on a fresh connection; expect a few retries on datacenter. Residential proxy access is included on the Apify Starter plan and above. On the free plan, pick a residential proxy if your account includes it, otherwise the run may return few or no results.