Reed.co.uk Jobs Scraper · No Login Needed

Scrape job postings from Reed.co.uk, one of the UK's largest job boards, and get clean structured data: title, company, salary when published, location, employment type and full description.

At a glance

What you get	UK job postings from Reed: title, company, city, region, postcode, salary range, employment type, dates, full description.
Price	$5.00 per 1,000 postings: a 50-posting test run costs about $0.26, start fee included.
Speed	50 postings in about 20 seconds. No login, no proxy, no browser to configure.
Try it	Click Try for free: the form is already filled with keywords developer, location Manchester, maxItems 50.
Keep it fresh	Schedule it daily and keep only the new postings: see "Monitor new postings daily" below.

What you can do with it

• Monitor the UK job market: new postings by job title and location, with salary data when the employer discloses it.
• Feed a job alert or an aggregator: run it daily on a title and dedupe by id to catch only the new postings.
• Find companies that are hiring: which employers recruit for a given role right now, in which city.
• Benchmark salaries: published salary ranges by role, in annual, daily or hourly rates.

Input

Field	What it does
Keywords	Job title or skill, for example developer or nurse. Empty browses every posting.
Location	UK city or region, for example Manchester or London. Empty searches nationwide.
Maximum number of postings	The run stops once this many postings are saved.
Include full descriptions	Adds the full job description as plain text.

Output

One record per posting:

{
  "id": "57430191",
  "url": "https://www.reed.co.uk/jobs/sen-teaching-assistant/57430191",
  "title": "SEN Teaching Assistant",
  "companyName": "Nala Group DMCC",
  "city": "Kimberworth",
  "region": "Yorkshire and Humberside",
  "postalCode": "S61",
  "country": "GB",
  "salaryMin": 100,
  "salaryMax": 130,
  "salaryCurrency": "GBP",
  "salaryPeriod": "day",
  "employmentType": ["FULL_TIME"],
  "datePosted": "2026-10-07T07:34:26.000Z",
  "validThrough": "2026-11-18T23:55:00.000Z",
  "description": "…"
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Why this one

• No login, no CV upload. Everything comes from Reed's own public search and posting pages.
• Half the leading Reed scraper's price, at $5.00 per 1,000 postings.
• Salary period kept explicit (year, day or hour), not left for you to guess from the raw numbers.

Good to know

• Reed's own sortBy parameter is off-limits to robots; this actor never uses it, so it reads results in the site's default order instead.
• employmentType can carry more than one value at once (for example ["FULL_TIME", "CONTRACTOR"]): that is how Reed itself tags the posting, not a scraping artifact.
• Salary fields are empty when the employer does not publish a figure.
• A handful of older Reed postings have a corrupted emoji in their own description (one half of the character lost upstream, on Reed's side): the leftover unprintable half is stripped, the rest of the text is untouched.
• The dataset contains job postings only. No candidate or recruiter personal data is collected; a line that carries a recruiter's e-mail address is dropped from the description.

Who uses it

• Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
• Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
• B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
• Labour-market research: salaries, skills in demand, remote share and hiring volume over time.

Pricing

Pay per result: $5.00 per 1,000 postings, plus $0.01 per run start with the default 4 GB of memory. For example, 100 postings cost about $0.51. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/reed-jobs-scraper').call({
  keywords: 'developer',
  location: 'Manchester',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/reed-jobs-scraper").call(run_input={
    "keywords": "developer",
    "location": "Manchester",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Reed? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Need another site, a missing field or a new filter? Open an issue in the Issues tab and say what you need, with an example URL if you have one. Requests are read, and the most asked ones are built next.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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