# prospects.ac.uk Scraper | Find Early Careers Jobs (`dakheera47/prospects-ac-uk-scraper`) Actor

Scrape graduate jobs, internships, placements, and early-career roles from Prospects.ac.uk. Get structured job details, employers, salaries, deadlines, locations, and optional UK & Netherlands sponsor-register enrichment

- **URL**: https://apify.com/dakheera47/prospects-ac-uk-scraper.md
- **Developed by:** [Shaheer Sarfaraz](https://apify.com/dakheera47) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 job scrapeds

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Prospects.ac.uk Jobs Scraper

Scrape graduate jobs, graduate schemes, internships, placements, and early-career opportunities from **Prospects.ac.uk** into structured JSON.

Use an optional **fuzzy search query** to find relevant jobs across titles, employers, descriptions, requirements, locations, and other job data, or leave the query blank to return all available jobs from the Prospects graduate jobs browse page.

Optionally enrich each employer with **visa sponsorship registry data for the UK and Netherlands**, including sponsor matches, registered company names, sponsorship routes, ratings, locations, and match confidence.

### Features

- Scrape graduate and early-career jobs from Prospects.ac.uk
- Extract full job descriptions from individual job pages
- Search jobs using an optional fuzzy `searchQuery`
- Leave `searchQuery` blank to return all available listings
- Extract salary, location, employer, requirements, degree subjects, closing dates, and application URLs
- Include employer/company descriptions where available
- Optionally check employers against official UK and Netherlands sponsor registers
- Return structured sponsorship metadata with match confidence
- Fetch job detail pages concurrently for faster runs
- Export results through the Apify Dataset as JSON, CSV, Excel, XML, and other supported formats

### What can I use this Prospects scraper for?

This Actor is useful for:

- graduate job search tools
- early-career job aggregators
- graduate scheme monitoring
- internship and placement discovery
- UK graduate recruitment research
- visa sponsorship job discovery
- international student job search tools
- job alerts and monitoring
- labour market analysis
- recruitment data pipelines
- AI job matching and recommendation systems

### Input

#### Search for specific jobs

Provide a search query:

````json
{
  "searchQuery": "software engineer"
}



# Actor input Schema

## `searchQuery` (type: `string`):

Optional fuzzy search across the full job listing and detail text. Leave blank to return all jobs.

## Actor input object example

```json
{
  "searchQuery": ""
}
````

# Actor output Schema

## `jobs` (type: `string`):

List of jobs captured from the Prospects listing page.

## `runSummary` (type: `string`):

Summary of the scrape run stored in the default key-value store under OUTPUT.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dakheera47/prospects-ac-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("dakheera47/prospects-ac-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 '{}' |
apify call dakheera47/prospects-ac-uk-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dakheera47/prospects-ac-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/WGscXlT32c8YeOABA/builds/8tdSENPHjo3fbCduo/openapi.json