Gumtree Category URLs Scraper

Extract all Gumtree UK category URLs, their filter dropdown options, and every vehicle make & model — all via HTTP, no browser needed.

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What It Does

This actor gives you the complete structure of Gumtree UK in clean, flat rows:

Feature	Output
Category tree	All 7 top-level + ~108 subcategory URLs
Filter dropdowns	Every filter value per subcategory (seller type, condition, colour, brand, fuel type, body type, transmission, etc.)
Vehicle makes & models	Every make + model for cars, vans, trucks, campers, and motorbikes
Price ranges	Min/max price options from each category

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How to Use

There are 2 simple modes:

1. Scrape main category URLs

No input needed. Outputs the full Gumtree category tree.

top_slug,top_name,sub_slug,sub_name,url
cars-vans-motorbikes,Cars & Vehicles,cars,Cars,https://www.gumtree.com/cars-vans-motorbikes/cars
for-sale,For Sale,kitchen-appliances,Appliances,https://www.gumtree.com/for-sale/kitchen-appliances

2. Scrape filters

Enter a Category URL and the actor automatically discovers all filter fields for that category. Main category URLs (e.g. /for-sale) auto-crawl all subcategories.

Input URL	What you get
/cars-vans-motorbikes/vans	69 filters + 52 makes + 150 models + prices
/cars-vans-motorbikes/cars	97 makes + 1011 models + prices
/for-sale	All 23 subcategories crawled automatically
/flats-houses/property-to-rent	Property type, bedrooms, bills, pets allowed

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Input Parameters

Field	Type	Default	Description
phase	select	categories	categories = scrape category tree, filters = scrape filters for a URL
target_url	string	empty	Category URL for filter scraping. Main categories auto-crawl all subcategories. Example: https://www.gumtree.com/cars-vans-motorbikes/vans
proxy	object	Apify proxy	Proxy configuration

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Output Schema (category tree mode)

When you select "Scrape main category URLs", each row in the dataset contains one subcategory entry.

Columns

Column	Type	Example
top_slug	string	cars-vans-motorbikes
top_name	string	Cars & Vehicles
sub_slug	string	cars
sub_name	string	Cars
url	string	https://www.gumtree.com/cars-vans-motorbikes/cars

Example row

{
  "top_slug": "cars-vans-motorbikes",
  "top_name": "Cars & Vehicles",
  "sub_slug": "vans",
  "sub_name": "Vans",
  "url": "https://www.gumtree.com/cars-vans-motorbikes/vans"
}

This full tree is also saved to the key-value store as OUTPUT.json.

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Dataset Schema (filters mode)

When you select "Scrape filters", every row shares the same 10-column schema — no "undefined" cells in your CSV export. The row_type column distinguishes the three kinds of data.

Columns

Column	Type	Populated for	Description
row_type	string	All rows	filter, make_model, or price_option
category	string	All rows	Human-readable category name
filter_name	string	filter / price_option	API filter field name (e.g. appliance_brand)
value	string	filter / price_option	Machine value for the option
label	string	filter / price_option	Human-readable label
make_label	string	make_model	Vehicle make name (e.g. Ford)
make_slug	string	make_model	Vehicle make API value (e.g. ford)
model_label	string	make_model	Vehicle model name (e.g. Transit Custom)
model_slug	string	make_model	Vehicle model API value (e.g. transit-custom)
source	string	make_model	dropdown or makes-only

Example rows

Filter row:

{
  "row_type": "filter",
  "category": "Kitchen Appliances",
  "filter_name": "appliance_brand",
  "value": "bosch",
  "label": "Bosch",
  "make_label": "",
  "make_slug": "",
  "model_label": "",
  "model_slug": "",
  "source": ""
}

Make/Model row:

{
  "row_type": "make_model",
  "category": "Vans",
  "filter_name": "",
  "value": "",
  "label": "",
  "make_label": "Ford",
  "make_slug": "ford",
  "model_label": "Transit Custom",
  "model_slug": "transit-custom",
  "source": "dropdown"
}

Price row:

{
  "row_type": "price_option",
  "category": "Vans",
  "filter_name": "price-price-min",
  "value": "5000",
  "label": "\u00a35,000",
  "make_label": "",
  "make_slug": "",
  "model_label": "",
  "model_slug": "",
  "source": ""
}

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Use Cases

• Market research — Understand Gumtree's category structure and available filters
• Price monitoring — Extract price ranges for each category
• Automotive catalogues — Get all vehicle makes and their models (97 makes, 1000+ models)
• Scraper infrastructure — Feed category URLs into a listing scraper
• Competitor analysis — Track what filters Gumtree offers per category

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Technical Notes

• No browser required — All extraction is HTTP-based using Gumtree's own AJAX API
• Proxy included — Uses Apify's built-in proxy to avoid rate limits
• Fast — Category tree in <1 second, single category filters in ~15 seconds
• Categories auto-detected — The actor reads Gumtree's SSR filtersDictionary to discover available filters dynamically (no hardcoded mapping)
• Rate-limit aware — 0.5s delay between subcategory requests

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Pricing

Priced at $10 per 1000 results with a $5 free monthly credit:

Scenario	Rows	Price
Category tree	~108	$1.08
Vans filters + makes/models	~219	$2.19
Cars filters + makes/models	~1,180	$11.80
For-sale auto-crawl (23 subcats)	~746	$7.46
Flats-houses auto-crawl (9 subcats)	~250	$2.50

Your $5 free credit covers:

• ~4 category tree runs, or
• ~2 filter runs (vans, for-sale, etc.), or
• ~1 full vehicle run (cars with all makes/models)