Wallapop Scraper

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🎯 What this scrapes

Wallapop is Spain's largest classifieds marketplace — clothes, electronics, furniture, bikes, whatever people are reselling this week. It publishes no public API for third parties. This Actor talks to the same search endpoint the Wallapop web app uses: give it one or more keywords (and, optionally, a search-origin latitude/longitude), and it walks the result pages via Wallapop's own pagination cursor, pulling title, description, price, category, location, images, and listing metadata for every match. No login, no seller messaging, no per-listing detail fetches — just clean rows from the search results you'd see on the site.

🔥 What we handle for you

• 🧭 Cursor-accurate pagination — we follow Wallapop's own pagination token verbatim across every page, so listings never repeat or silently drop mid-walk.
• 🔁 Resilient to transient errors — automatic retries with backoff on 429/503/network hiccups, so one flaky response doesn't kill your run.
• 🧹 Deduplicated results — every listing ID is deduplicated within a run, even when it reappears across pages or queries.
• 🧊 Clean, typed dataset rows — Pydantic-validated, ISO-8601 timestamps, stable IDs, JSON / CSV / Excel export straight from the Apify Console.
• 💰 Pay-Per-Event pricing — you only pay for results that hit your dataset. No data, no charge.

💡 Use cases

• Price monitoring — track asking prices for specific keywords or product lines over time.
• Resale/arbitrage research — find underpriced listings matching a resale niche.
• Market research — analyze pricing and location trends on Spain's largest classifieds site.
• New-listing alerts — diff successive runs to catch fresh listings matching a saved search.

⚙️ How to use it

1. Click Try for free at the top of the page.
2. Fill in the input form — most fields have sensible defaults.
3. Click Start. Output streams into the run's dataset.
4. Export from Storage → Dataset as JSON, CSV, or Excel — or fetch via the API.

📥 Input

Field	Type	Required	Default	Notes
queries	array	yes	'—'	Wallapop search keywords, one per entry (e.g. bicicleta, iphone 13). At least one is required.
latitude	number	no	41.3851	Search-origin latitude used by Wallapop's search API. Defaults to Barcelona.
longitude	number	no	2.1734	Search-origin longitude used by Wallapop's search API. Defaults to Barcelona.
maxPagesPerQuery	integer	no	3	Stop following Wallapop's pagination cursor for a query after this many pages. Ceiling of 60 is the proven depth.
proxyConfiguration	object	yes	{'useApifyProxy': True, 'apifyProxyGroups': ['BUYPROXIES94952']}	Apify Proxy spec. Wallapop's search API clears on the datacenter tier — residential is not required for reach.

Example input

{
  "queries": [
    "bicicleta",
    "iphone 13"
  ],
  "latitude": 41.3851,
  "longitude": 2.1734,
  "maxPagesPerQuery": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ]
  }
}

📤 Output

Every row is one dataset item.

Field	Type	Notes
query	string	Echo of the input query this listing was found under.
listing_id	string	Wallapop listing ID.
title	string	Listing title.
description	string	Listing description text.
listing_url	string	Absolute URL to the listing detail page on es.wallapop.com.
price_amount	number	Asking price amount.
price_currency	string	ISO-4217 currency code (e.g. EUR).
category_id	string	Wallapop category identifier.
created_at	string	ISO-8601 listing creation timestamp.
modified_at	string	ISO-8601 listing last-modified timestamp.
city	string	City flattened from the listing's location object.
region	string	Region flattened from the listing's location object.
image_urls	array	Medium-size image URLs for the listing.
reserved	boolean	Whether the listing is marked reserved.
user_id	string	Seller user ID.

Example output

{
  "query": "bicicleta",
  "listing_id": "ejkmyrx97rzx",
  "title": "Bicicleta BH Montaña Amarilla",
  "description": "Bicicleta de montaña BH en buen estado, poco uso.",
  "listing_url": "https://es.wallapop.com/item/bicicleta-bh-montana-amarilla-123456789",
  "price_amount": 100.0,
  "price_currency": "EUR",
  "category_id": "12475",
  "created_at": "2026-08-01T10:15:00+00:00",
  "modified_at": "2026-08-15T09:30:00+00:00",
  "city": "Barcelona",
  "region": "Cataluña",
  "image_urls": [
    "https://cdn.wallapop.com/images/ejkmyrx97rzx/medium.jpg"
  ],
  "reserved": false,
  "user_id": "e65vxg3mmkjo"
}

💰 Pricing

Pay-Per-Event — you pay only when these events fire:

Event	USD	What it is
actor-start	$0.2	One-off warm-up charge per run
listing-scraped	$0.004	Once per unique listing pushed to your dataset

Example: 1 000 listings at the rates above ≈ $4.20. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.

🚧 Limitations

• No login, seller messaging, or account-gated content — keyword search results only.
• No per-listing detail-page fetches beyond what Wallapop's search response already returns.
• No seller profile pages or seller listing history.
• No historical/date-range search — each run walks forward from page 1 of the current search results.

❓ FAQ

Is this legal?

We only fetch content Wallapop's own search API returns publicly — the same data the wallapop.com search page shows. Respect Wallapop's terms of service before using the output commercially.

How do I export to Sheets?

After the run, click Storage → Dataset → Export and pick CSV. Google Sheets imports it directly.

How do I get more results per query?

Raise maxPagesPerQuery (up to 60). Each page returns up to 40 listings, so a higher page cap walks deeper into the search results.

Why did a query return zero rows?

Wallapop genuinely has no matches for that keyword/location combination — the run still succeeds, with a status message describing what was searched.

💬 Your feedback

Spotted a bug, hit a weird edge case, or need a new field? Open an issue on the Actor's Issues tab on Apify Console — we ship fixes weekly and we read every report.

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