# Reed UK Jobs Scraper — Salary, Type & Description (`seemuapps/reed-jobs-scraper`) Actor

Scrape UK job listings from Reed by keyword, location, job type and salary — with full descriptions, employers and posting dates. No login.

- **URL**: https://apify.com/seemuapps/reed-jobs-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Jobs, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Reed UK Jobs Scraper — Salary, Type & Description

Scrape live UK job listings from Reed by keyword, location, job type and salary — with full descriptions, employers and posting dates. No login required.

### What you get

- Job title, employer name and employer profile link
- Location, region, country and working option (remote / hybrid / on-site)
- Salary range (parsed to numeric min/max) and job type (permanent, temporary, contract, full time, part time)
- Full job description in HTML and plain text (optional, on by default)
- Listing and last-updated dates, sector, featured/easy-apply flags
- Paginated output: each run returns a cursor so you can fetch thousands of listings across multiple runs

### Use cases

- **Recruiter and staffing lead generation** — build a live feed of open roles and hiring employers
- **Market and salary research** — track advertised salary ranges by role, sector or location
- **ATS and job board aggregation** — pull structured UK listings into your own product
- **Competitor hiring intelligence** — see what roles a company is actively hiring for and where
- **Job alert automation** — run on a schedule to catch new postings matching your criteria

### How to use

1. Enter **Keywords** (e.g. `software engineer`) and/or a **Location** (e.g. `London`)
2. Optionally filter by **Job type**, **Minimum/Maximum salary**, and **Posted within**
3. Toggle **Include full job description** on for complete details, or off for a faster search-only run
4. Set **Max jobs** (default 200 per run; set `0` for unlimited)
5. Run the actor — results appear in the **Dataset** tab

#### Fetching more than one run's worth

The actor paginates automatically to fill your **Max jobs**. To keep going past that, open the **Key-value store** tab after the run → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run. If `NEXT_PAGE_ID` is `null`, you've fetched every matching listing.

### Output format

Each dataset record:

```json
{
  "jobId": "57250514",
  "url": "https://www.reed.co.uk/jobs/software-engineer/57250514",
  "title": "Software Engineer",
  "companyName": "Tiro Partners Limited",
  "location": "London",
  "region": "London",
  "country": "United Kingdom",
  "workingOption": "Hybrid",
  "listedAt": "2026-08-18T12:06:02.763",
  "salary": "£70000 - £75000",
  "salaryMin": 70000,
  "salaryMax": 75000,
  "jobType": "Full time",
  "sector": "Engineer",
  "descriptionText": "Software Developer (C# / .NET) London-based | Hybrid | Up to 75k + benefits...",
  "isFeatured": false,
  "isEasyApply": true
}
```

### Pricing

Pay-per-event — you're charged **$5 per 1,000 job listings** actually returned to your dataset. No charge for empty searches.

# Actor input Schema

## `keywords` (type: `string`):

Job title or keywords to search for, e.g. 'software engineer' or 'registered nurse'. Leave empty to browse a location only.

## `location` (type: `string`):

Where to search, e.g. 'London', 'Manchester' or a postcode. Leave empty to search all of the UK.

## `jobType` (type: `string`):

Restrict results to one employment type. Leave empty for all job types.

## `salaryMin` (type: `integer`):

Lowest advertised salary to include, in GBP. Set 0 to ignore.

## `salaryMax` (type: `integer`):

Highest advertised salary to include, in GBP. Set 0 for no upper limit.

## `postedWithin` (type: `string`):

Only return jobs posted within this window — useful for monitoring runs.

## `includeDescription` (type: `boolean`):

Fetch the complete job description, employer and location details for every listing. Turn off for a much faster run that returns search-card fields only.

## `maxItems` (type: `integer`):

Maximum number of jobs to return in this run. Set 0 for unlimited (the run paginates until every match is fetched or the run times out).

## `pageId` (type: `string`):

Paste NEXT\_PAGE\_ID from the previous run's Key-value store to continue where that run stopped.

## Actor input object example

```json
{
  "keywords": "software engineer",
  "location": "London",
  "jobType": "",
  "salaryMin": 0,
  "salaryMax": 0,
  "postedWithin": "anytime",
  "includeDescription": true,
  "maxItems": 200
}
```

# Actor output Schema

## `results` (type: `string`):

One job per record. Fields: jobId, url, title, companyName, companyProfileUrl, location, region, country, workingOption, listedAt, updatedAt, salary, salaryMin, salaryMax, jobType, sector, descriptionSnippet, descriptionHtml, descriptionText, isFeatured, isEasyApply.

## `nextPageId` (type: `string`):

NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when every matching job has been fetched.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": "software engineer",
    "location": "London"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/reed-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": "software engineer",
    "location": "London",
}

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/reed-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": "software engineer",
  "location": "London"
}' |
apify call seemuapps/reed-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/reed-jobs-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/XYl1Vt72m90fPXbCa/builds/k5a1ugnykj8t5TOnh/openapi.json