Tes.com UK Education Jobs Scraper

Extract teaching jobs from Tes.com, the UK's leading education job board. Returns title, employer, salary, teaching stage (primary/secondary/sixth form), subject, position type, contract, start date, closing date, and school type across UK and international schools.

Open on Apify →

Pricing

$4.00 / 1,000

Runtime

Cloud (Apify)

Proxy

Datacenter

What You Can Scrape

Two contact popups extracted: per-vacancy recruiter email/phone AND school-wide contact info, which competitors miss
Teaching stage: primary, secondary, sixth-form, nursery, all-through
Subject: Maths, English, Science, SEND, MFL, PE, Art, Music, Drama, Computing, Business, RE, History, Geography
Position type: leadership, classroom, support, HLTA, SEN
Contract type: permanent, fixed-term, supply, maternity
School profile enrichment: About text, phase, funding status, gender intake, age range, denomination, gallery images

What you get

title + employer_name + employer_logo_url — role title, school name, and logo
teaching_stage + subject + position_type — curriculum stage, subject, and role type
salary_range — min, max, currency, period from schema.org JobPosting data
job_contact_email + job_contact_phone — per-vacancy recruiter contact (unique to this actor)
company_phone + company_website — school-wide contact from School contact details popup
contract_type + start_date + closing_at — employment terms and key dates
company_address_street / city / postcode — full postal address from schema.org
company_active_jobs — other open roles at the same school (with includeCompanyDetails)

Input example

{
  "searchQueries": ["SEND teacher", "head of maths"],
  "location": "Kent",
  "maxResults": 100,
  "includeJobDetails": true,
  "includeCompanyDetails": true
}

Output example

{
  "_type": "job",
  "id": "2339227",
  "title": "Primary Teacher",
  "employer_name": "The School of Research Science - SRS Dubai",
  "location": "Al Warqa 4, Dubai",
  "teaching_stage": "primary",
  "position_type": "classroom",
  "contract_type": "permanent",
  "start_date": "2026-09-01",
  "closing_at": "2026-08-30",
  "job_contact_email": "[email protected]",
  "job_contact_phone": "4 6011011",
  "company_website": "http://www.srsdubai.ae/",
  "company_phone": "+971 4 6011011",
  "company_address_display": "Noakchott Street, Al Warqa 4, Dubai, UAE",
  "source_platform": "tes.com",
  "scraped_at": "2026-09-02T12:00:00Z"
}

Who should use this

Teaching recruitment agencies use this actor to reach the exact recruiter responsible for each vacancy via job_contact_email, rather than routing every application through the school's central mailbox and losing it in the pile.

MATs and school groups benchmark competitor pay bands, contract types, and subject demand across their region using the structured salary and subject fields.

Ed-tech vendors building account lists of UK schools by size, type, and phase use company_phase, company_funding_status, and company_age_range to segment their target market without additional data enrichment.

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 tes-uk-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~tes-uk-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/tes-uk-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/tes-uk-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/tes-uk-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/tes-uk-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/tes-uk-scraper

Example prompt once connected:

"Use <code>tes-uk-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/tes-uk-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~tes-uk-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~tes-uk-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~tes-uk-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~tes-uk-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.