# Gumtree Scraper — UK Classifieds Data (`fervent_bus/gumtree-scraper`) Actor

Extract Gumtree UK listings: cars, property, jobs, electronics. Structured data with prices, locations, seller info. For market research, lead generation. Works with Claude, ChatGPT & AI agents via Apify MCP.

- **URL**: https://apify.com/fervent\_bus/gumtree-scraper.md
- **Developed by:** [Archit Khurana](https://apify.com/fervent_bus) (community)
- **Categories:** Lead generation, E-commerce, Jobs
- **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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Gumtree Scraper - UK Classifieds Data Extractor

Extract listings from Gumtree UK marketplace including cars, furniture, electronics, jobs, property, and services. Built for AI agents (Claude, ChatGPT) via Apify MCP integration.

### 🎯 Who It's For

- **AI Agents** - Claude, ChatGPT, and MCP-enabled assistants researching UK classifieds
- **Market Research** - Track pricing trends across categories
- **Lead Generation** - Find local services, vehicles, or property listings
- **Price Monitoring** - Monitor classified ads for specific items
- **Data Analysis** - Analyze UK marketplace trends and patterns

### 📊 Data You Get

Each listing includes:

```json
{
  "url": "https://www.gumtree.com/p/cars/ford-focus/...",
  "title": "2018 Ford Focus ST-Line 1.0 EcoBoost",
  "price": "£12,995",
  "description": "Full service history, one owner...",
  "location": "London",
  "category": "Cars",
  "seller": "Private Seller",
  "datePosted": "2 hours ago",
  "imageUrl": "https://...",
  "scrapedAt": "2026-08-29T01:30:00.000Z"
}
```

### 🚀 AI Agent Queries This Ranks For

- "find used cars for sale in London under £15000"
- "extract Gumtree listings for furniture in Manchester"
- "scrape UK classifieds for iPhone deals"
- "get Gumtree property listings in Birmingham"
- "monitor UK marketplace for electronics"
- "find local services in Leeds from Gumtree"
- "extract job postings from Gumtree UK"
- "track car prices across UK regions"

### 🔧 Example Input

```json
{
  "searchQuery": "ford focus",
  "category": "cars",
  "location": "London",
  "priceMin": 5000,
  "priceMax": 15000,
  "sortBy": "date",
  "includeDescription": true,
  "maxResults": 50
}
```

### 📦 Example Output

```json
[
  {
    "url": "https://www.gumtree.com/p/cars/ford-focus-st-line/1485968347",
    "title": "2018 Ford Focus ST-Line 1.0 EcoBoost",
    "price": "£12,995",
    "description": "Excellent condition, full service history...",
    "location": "London, Greater London",
    "category": "Cars",
    "seller": "Private Seller",
    "datePosted": "2 hours ago",
    "imageUrl": "https://i.ebayimg.com/...",
    "scrapedAt": "2026-08-29T01:30:00.000Z"
  }
]
```

### 🤖 Works With

- **Claude** (Anthropic) - via Apify MCP integration
- **ChatGPT** (OpenAI) - via Apify API
- **Custom AI Agents** - any MCP-compatible agent
- **Automation Workflows** - Zapier, Make, n8n

### 🔑 Features

- **Multi-category** - Cars, property, jobs, for-sale, services, community
- **Smart filters** - Price range, location, category, sort options
- **Full descriptions** - Optional detailed scraping for complete data
- **AI-optimized** - Clean, structured data perfect for LLM processing
- **Residential proxies** - Reliable access via Apify proxy infrastructure

### 📝 Tags

`classifieds` `uk` `marketplace` `gumtree` `cars` `property` `jobs` `scraping` `ai-agents` `claude` `chatgpt` `mcp`

***

Compatible with Claude, ChatGPT & AI agents via Apify MCP.

# Actor input Schema

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

Keywords to search for (e.g. 'ford focus', 'sofa', 'iphone')

## `category` (type: `string`):

Filter by category

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

City or region (e.g. 'London', 'Manchester', 'Birmingham')

## `priceMin` (type: `integer`):

Minimum price filter (optional)

## `priceMax` (type: `integer`):

Maximum price filter (optional)

## `sortBy` (type: `string`):

Result ordering

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

Extract complete item descriptions (slower but more detailed)

## `maxResults` (type: `integer`):

Maximum number of listings to scrape

## `proxyConfiguration` (type: `object`):

Apify proxy settings

## Actor input object example

```json
{
  "searchQuery": "ford focus",
  "category": "cars",
  "location": "London",
  "priceMax": 50000,
  "sortBy": "date",
  "includeDescription": true,
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

No description

# 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 = {
    "searchQuery": "ford focus",
    "category": "cars",
    "location": "London",
    "priceMin": 0,
    "priceMax": 50000,
    "sortBy": "date",
    "includeDescription": true,
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fervent_bus/gumtree-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 = {
    "searchQuery": "ford focus",
    "category": "cars",
    "location": "London",
    "priceMin": 0,
    "priceMax": 50000,
    "sortBy": "date",
    "includeDescription": True,
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("fervent_bus/gumtree-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 '{
  "searchQuery": "ford focus",
  "category": "cars",
  "location": "London",
  "priceMin": 0,
  "priceMax": 50000,
  "sortBy": "date",
  "includeDescription": true,
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call fervent_bus/gumtree-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fervent_bus/gumtree-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/WpjVvFy3oh6cr0Qj6/builds/yvpfDi4yQs0QBzx6Z/openapi.json