# Reed UK Jobs Scraper — job offers UK (`skillsvaults/reed-jobs-uk-scraper`) Actor

Scrape job offers from Reed.co.uk by keyword and location. Optionally fetch full job descriptions, then export a deduplicated dataset with salary, employment type, recruiter and direct URL. No Reed login or API key.

- **URL**: https://apify.com/skillsvaults/reed-jobs-uk-scraper.md
- **Developed by:** [skills vaults](https://apify.com/skillsvaults) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$6.00 / 1,000 job offers

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/platform/actors/running/actors-in-store#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 Jobs UK Scraper

Scrapes public job listings from [reed.co.uk](https://www.reed.co.uk) by **keyword** and **location**.

### What it does

- Searches Reed's public job board (no login, no API key).
- Fetches up to 25 jobs per result page.
- Collects: title, salary label, location, employment type, recruiter, posted date, URL.
- Optionally fetches each job's detail page for the **full description**.
- Deduplicates by Reed job ID (Reed repeats a few listings between pages).
- Stops cleanly at the configured page limit, result cap, or runtime budget.

### What it does NOT do

- No login-based features (saved jobs, applications).
- No recruiter contact details.
- No jobs behind the Reed API (which requires a key).

### Input

| Field | Type | Default | Notes |
|---|---|---|---|
| `keywords` | string | — | **Required.** e.g. `software developer` |
| `location` | string | — | **Required.** e.g. `London`, `Manchester` |
| `includeDescription` | boolean | `true` | Fetch detail pages for full descriptions (more requests) |
| `maxPages` | integer | `40` | Result pages (25 jobs/page), max 2000 |
| `maxTotalResults` | integer | `2000` | Hard cap on saved jobs, max 50000 |

### Output (dataset item)

| Field | Type | Description |
|---|---|---|
| `id` | string | Reed job ID |
| `source` | string | `reed` |
| `country` | string | `uk` |
| `title` | string | Job title |
| `url` | string | Absolute job URL |
| `salaryLabel` | string | Salary as displayed |
| `location` | string | Job location |
| `employmentType` | string | Contract type + working time |
| `postedBy` | string | Recruiter/company |
| `postedDate` | string | Date as displayed |
| `description` | string | Full description (empty when `includeDescription` is false) |

### Limits

- Global result cap: `maxTotalResults` (applied in code, not just declared).
- Page cap: `maxPages` (25 jobs per page).
- Runtime budget: 2 hours, checked between pages.
- Response size cap: 10 MB per page.
- HTTP retries (3) with backoff on 429/5xx, respecting `Retry-After`.

### Local development

```bash
python3 -m unittest discover -s tests -v            # unit tests (offline)
RUN_LIVE_VOLUME_TESTS=1 python3 -m unittest tests/test_live_volume.py -v   # live test (100 jobs)
```

### Deploy

```bash
apify push
```

# Actor input Schema

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

Job title or keywords to search, e.g. "software developer".

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

Location to search in, e.g. "London" or "Manchester".

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

Fetch each job detail page to include the full description (more requests).

## `maxPages` (type: `integer`):

Maximum result pages to fetch (25 jobs per page).

## `maxTotalResults` (type: `integer`):

Hard cap on the number of jobs saved to the dataset.

## Actor input object example

```json
{
  "keywords": "software developer",
  "location": "London",
  "includeDescription": true,
  "maxPages": 40,
  "maxTotalResults": 2000
}
```

# Actor output Schema

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

Link to the dataset items.

# 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 developer",
    "location": "London"
};

// Run the Actor and wait for it to finish
const run = await client.actor("skillsvaults/reed-jobs-uk-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 developer",
    "location": "London",
}

# Run the Actor and wait for it to finish
run = client.actor("skillsvaults/reed-jobs-uk-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 developer",
  "location": "London"
}' |
apify call skillsvaults/reed-jobs-uk-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,skillsvaults/reed-jobs-uk-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/1XDyBsTpRe0OCwuif/builds/gpz2vSgLVPp2qde5H/openapi.json