Use Wallapop Listings by Keyword, Item & Seller with Python

Searches Wallapop by keyword and location, fetches a specific item by URL, or pulls a seller's full listing set, returning price, location, images, and seller details.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "category": "",
  "condition": "",
  "country": "ES",
  "includeItemDetails": false,
  "includeReviews": false,
  "includeSellerDetails": false,
  "itemUrls": [],
  "keywords": [
    "iphone"
  ],
  "maxItems": 1,
  "maxReviews": 1,
  "mode": "search",
  "orderBy": "most_relevance",
  "sellerIds": [],
  "shippableOnly": false,
  "subcategory": "",
  "timeFilter": ""
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	What to fetch from Wallapop.
`keywords`	array	optional	One or more search phrases. Each keyword is searched separately and results are merged without duplicates (mode=search).
`itemUrls`	array	optional	Wallapop item URLs or raw item IDs (mode=itemDetails).
`sellerIds`	array	optional	Seller IDs, profile URLs or item URLs whose seller should be used (mode=sellerListings and sellerProfile).
`country`	string	optional	Market centre used when latitude and longitude are empty.
`latitude`	number	optional	Optional search centre latitude. Leave empty to use the country centre.
`longitude`	number	optional	Optional search centre longitude. Leave empty to use the country centre.
`category`	string	optional	Top-level Wallapop category (mode=search).
`subcategory`	string	optional	Optional subcategory. It can be used alone or together with a category (mode=search).
`orderBy`	string	optional	Result order (mode=search).
`minPrice`	integer	optional	Minimum asking price (mode=search).
`maxPrice`	integer	optional	Maximum asking price (mode=search).
`condition`	string	optional	Item condition (mode=search).
`timeFilter`	string	optional	Only listings posted within this window (mode=search).
`shippableOnly`	boolean	optional	Only listings whose seller allows shipping (mode=search).
`distanceKm`	integer	optional	Maximum distance from the search centre. Leave empty to use the market default.
`includeItemDetails`	boolean	optional	Fetch full item details such as condition, attributes, views, favorites and conversations (mode=search and sellerListings).
`includeSellerDetails`	boolean	optional	Add seller name, rating, review count and verification to each search result (mode=search).
`includeReviews`	boolean	optional	Include the seller's latest reviews (mode=sellerProfile).
`maxReviews`	integer	optional	Maximum reviews per seller (mode=sellerProfile). Wallapop serves older reviews in pages.
`maxItems`	integer	optional	Maximum records to return for search, itemDetails and sellerListings.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/mGhZBe0V7WirMKlSs/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Wallapop listings and seller profiles with prices, condition, images, location, shipping, engagement counts and seller reputation.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build YTSKoUyzDC7iXiO8P and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.