TotalJobs Scraper - UK Jobs & Salaries

Extract UK job listings from TotalJobs.com. Returns title, company, salary (min/max/currency/period), full description, employment type, location, posting date, apply URL, and 30+ more fields. Search by keyword, location, or URL. Pay-per-result: $3 per 1,000 jobs.

Open on Apify →

Pricing

$3.00 / 1,000

Runtime

Cloud (Apify)

Proxy

Datacenter

What You Can Scrape

Native JSON API: uses TotalJobs' own JSON endpoint, faster and more reliable than HTML scraping
3 description formats: plain text, HTML, and Markdown ready for any downstream use
CSS artifact removal: Emotion CSS-in-JS pollution stripped before delivery
Company website deny-list: blocks self-referential job-board URLs from appearing as employer websites
Fleet-standard schema: ISO dates, array contact fields, and source_platform metadata
Streaming results: jobs appear in the dataset as each one is extracted, no waiting for full run

What you get

title + company_name + company_logo_url — job title, employer name, and CDN logo
salary_min / salary_max / salary_currency / salary_period — structured GBP pay range
description + description_html + description_md — three formats: plain, HTML, Markdown
employment_type + location + postcode — contract type, city, and postcode
posted_at_datetime + expires_at — ISO 8601 posting and expiry timestamps
contact_emails + contact_phones + contact_urls — arrays extracted from description
company_website — employer website (deny-listed job boards excluded)
source_platform — always "totaljobs.com" for pipeline routing

Input example

{
  "searchQueries": ["software engineer", "backend developer"],
  "location": "London",
  "includeJobDetails": true,
  "maxResultsPerQuery": 100,
  "maxResults": 200
}

Output example

{
  "_type": "job",
  "id": "107247777",
  "title": "Senior Software Engineer",
  "company_name": "McGregor Boyall Associates Limited",
  "company_logo_url": "https://www.totaljobs.com/CompanyLogos/c8ddb65522b549209fafb5ab49f14314.png",
  "location": "London",
  "salary_min": 65000,
  "salary_max": 75000,
  "salary_currency": "GBP",
  "salary_period": "year",
  "employment_type": "Full-time",
  "posted_at_datetime": "2026-05-07T09:22:20Z",
  "expires_at": "2026-06-18T09:22:20Z",
  "contact_emails": [],
  "source_platform": "totaljobs.com",
  "scraped_at": "2026-09-02T10:00:00Z"
}

Who should use this

UK job board operators use TotalJobs as one of their primary sources for the full UK market inventory, relying on the native JSON API path and streaming output to keep their feeds current without rate-limit risk.

HR analytics teams tracking UK salary trends and location distributions get structured salary_min / salary_max / salary_period fields on every row, unlike raw HTML scrapers that embed pay in description text.

Lead generation teams use contact_emails and contact_urls extracted from employer job postings to reach hiring managers directly, with the deny-list ensuring only genuine employer domains surface.

Integrations

n8n / Make / Zapier — trigger runs and process results via webhook
AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
Python / Node.js — Apify SDK for programmatic access
Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run totaljobs-scraper in your browser - no code, no install. In the Apify console you get:

One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

Sign up for a free Apify account (Google, GitHub, or email).
Go to Settings → Integrations → API tokens.
Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~totaljobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/totaljobs-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/totaljobs-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/totaljobs-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/totaljobs-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/totaljobs-scraper

Example prompt once connected:

"Use <code>totaljobs-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
Set Actor to santamaria-automations/totaljobs-scraper.
Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).

Create a new Zap with any trigger.
Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~totaljobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Body: your input JSON. Content-Type: application/json.

Create a new scenario.
Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~totaljobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
Parse the response with a JSON module to iterate items downstream.

Create a new workflow.
Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~totaljobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Access steps.http.$return_value in subsequent steps.

Install the API Connector plugin.
Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~totaljobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
Initialize the call with your input, then reference the response array in workflow actions.