Wallapop Scraper
Pricing
from $0.30 / 1,000 results
Wallapop Scraper
Scrape Wallapop listings by keyword with optional location, sorting, pagination, and full item details. Export structured marketplace data (price, title, images, seller and metadata) to JSON or CSV on Apify for research, monitoring, and lead generation.
Pricing
from $0.30 / 1,000 results
Rating
0.0
(0)
Developer
Iñigo Garcia Olaizola
Actor stats
0
Bookmarked
3
Total users
1
Monthly active users
9 days ago
Last modified
Categories
Share
What this actor does
Wallapop Scraper extracts public Wallapop marketplace listings. Use it to monitor prices, track product availability, collect listing intelligence, and export structured data to JSON or CSV from Apify.
The actor supports keyword search, location-based results, pagination, and optional per-listing detail enrichment.
Key use cases
- Track Wallapop prices over time for phones, furniture, electronics, vehicles, and more.
- Build market research datasets for resale, ecommerce, and competitive analysis.
- Monitor new listings for product sourcing or lead generation.
- Feed BI dashboards and automations with clean marketplace data.
How it works
Set your query and optional filters (location, sorting, max items), then run the actor. It collects matching Wallapop listings and stores results in your dataset.
If fetchDetails is enabled, each listing is enriched with a _details object containing additional listing information.
Input fields
| Field | Type | Description |
|---|---|---|
query | string | Search keyword(s), for example iphone, ps5, or sofa. |
maxItems | integer | Maximum number of listings to return. |
postalCode | string | Spain postal code fallback (for example 28001) used when coordinates are not provided. |
latitude | number | Optional latitude to localize results. |
longitude | number | Optional longitude to localize results. |
distance | string | Optional maximum distance in km from your location (for example 5, 10, 50). |
orderBy | string | Sort mode: most_relevance, newest, closest, price_low_to_high, price_high_to_low. |
fetchDetails | boolean | If true, enriches each listing with _details using an extra request per item. |
proxyConfiguration | object | Proxy settings. Residential proxies are recommended for reliability. |
Location resolution priority:
- Use
latitude+longitudewhen both are set. - Otherwise use
postalCode.
Output
The dataset returns one object per listing with fields such as:
id,title,descriptionprice,location,imagescreated_at,modified_at,web_slug_details(whenfetchDetails=true)
This makes it easy to export Wallapop data to JSON/CSV and plug it into spreadsheets, analytics tools, or automated workflows.
Why use this Wallapop scraper
This actor is designed for dependable Wallapop data extraction at scale with pagination support, optional deep listing details, and proxy-ready execution on Apify.
