# Wallapop.com product search (`data_alchemist/wallapop-search`) Actor Extracting products from wallapop.com search - **URL**: https://apify.com/data\_alchemist/wallapop-search.md - **Developed by:** [Dennis](https://apify.com/data_alchemist) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 search page scraped (up to 40 items)s This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Wallapop Search Scraper Scrapes search results from [Wallapop](https://wallapop.com) using their internal API. No browser required — fast, lightweight, and easy to configure. Supports Spain, Portugal, UK, France, and Italy listings. Returns structured item data including price, location, images, and direct item URLs. ### Features - Searches Wallapop by keyword, price range, and location - Paginates automatically through results (up to 50 pages) - Adds human-readable `created_at`, `modified_at`, and `scraped_at` timestamps - Adds a direct `item_url` link for each listing - Preset city locations for quick setup - Configurable result limit ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `keywords` | string | Search query | `iphone 5c` | | `minPrice` | integer | Minimum price in EUR (0 = no minimum) | `0` | | `maxPrice` | integer | Maximum price in EUR (0 = no maximum) | `200` | | `city` | select | Preset city location (overrides `location`) | — | | `location` | string | Custom coordinates as `latitude, longitude` | `40.4165, -3.70256` | | `orderBy` | select | Sort order | `newest` | | `maxResults` | integer | Max items to collect (0 = unlimited) | `30` | #### Order By options - `newest` — most recently listed - `closest` — nearest to the search location - `most_relevance` — best keyword match - `price_low_to_high` - `price_high_to_low` #### City presets Includes the 4 largest cities from Spain, Portugal, UK, France, and Italy: | City | Country | |------|---------| | Madrid | Spain | | Barcelona | Spain | | Valencia | Spain | | Seville | Spain | | Zaragoza | Spain | | Lisbon | Portugal | | Porto | Portugal | | Braga | Portugal | | London | UK | | Birmingham | UK | | Manchester | UK | | Glasgow | UK | | Paris | France | | Marseille | France | | Lyon | France | | Toulouse | France | | Rome | Italy | | Milan | Italy | | Naples | Italy | | Turin | Italy | Select **Custom (use Location field)** to enter your own coordinates. #### Getting coordinates The `location` field accepts coordinates in `latitude, longitude` format, for example: ```` 40.42119938031212, -3.6949881171162775 ```` The easiest way to get coordinates for any place is directly from Google Maps: 1. Open [Google Maps](https://maps.google.com) 2. Navigate to the location you want to search near 3. Right-click on the map 4. The coordinates appear at the top of the context menu — click them to copy Paste the copied value directly into the `location` field. ### Output Each item in the dataset contains the full Wallapop listing data plus these added fields: | Field | Description | |-------|-------------| | `item_url` | Direct link to the listing on wallapop.com | | `created_at` | ISO 8601 timestamp of when the listing was created | | `modified_at` | ISO 8601 timestamp of the last modification | | `scraped_at` | ISO 8601 timestamp of when the item was scraped | #### Example output item ```json { "id": "ejkmwwwep9zx", "title": "iPhone 5c 16GB Blue", "price": { "amount": 25, "currency": "EUR" }, "location": { "city": "Madrid", "country_code": "es" }, "item_url": "https://es.wallapop.com/item/iphone-5c-16gb-blue-1234567", "created_at": "2025-04-29T14:33:09.580Z", "modified_at": "2025-04-29T14:33:24.851Z", "scraped_at": "2025-04-29T15:00:00.000Z" } ```` # Actor input Schema ## `keywords` (type: `string`): Search keywords (e.g. 'iphone 5c') ## `minPrice` (type: `integer`): Minimum sale price in EUR (0 = no minimum) ## `maxPrice` (type: `integer`): Maximum sale price in EUR (0 = no maximum) ## `city` (type: `string`): Pick a city to set the search location. Overrides the Location field. ## `location` (type: `string`): Latitude and longitude separated by a comma (e.g. '40.4165, -3.70256'). Ignored if City is selected. ## `orderBy` (type: `string`): Sort order for search results ## `maxResults` (type: `integer`): Maximum number of items to push to the dataset (0 = unlimited) ## Actor input object example ```json { "keywords": "iphone 5c", "minPrice": 0, "maxPrice": 200, "location": "40.4165, -3.70256", "orderBy": "newest", "maxResults": 30 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": "iphone 5c", "location": "40.4165, -3.70256", "maxResults": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("data_alchemist/wallapop-search").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": "iphone 5c", "location": "40.4165, -3.70256", "maxResults": 30, } # Run the Actor and wait for it to finish run = client.actor("data_alchemist/wallapop-search").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": "iphone 5c", "location": "40.4165, -3.70256", "maxResults": 30 }' | apify call data_alchemist/wallapop-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data_alchemist/wallapop-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wallapop.com product search", "description": "Extracting products from wallapop.com search", "version": "0.0", "x-build-id": "K3m7DdyLAqOHiifDB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data_alchemist~wallapop-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data_alchemist-wallapop-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data_alchemist~wallapop-search/runs": { "post": { "operationId": "runs-sync-data_alchemist-wallapop-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data_alchemist~wallapop-search/run-sync": { "post": { "operationId": "run-sync-data_alchemist-wallapop-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "string", "description": "Search keywords (e.g. 'iphone 5c')", "default": "iphone 5c" }, "minPrice": { "title": "Min Price", "minimum": 0, "type": "integer", "description": "Minimum sale price in EUR (0 = no minimum)", "default": 0 }, "maxPrice": { "title": "Max Price", "minimum": 0, "type": "integer", "description": "Maximum sale price in EUR (0 = no maximum)", "default": 200 }, "city": { "title": "City", "enum": [ "custom", "40.4165, -3.70256", "41.3851, 2.1734", "39.4699, -0.3763", "37.3891, -5.9845", "41.6488, -0.8891", "38.7169, -9.1395", "41.1579, -8.6291", "41.5454, -8.4265", "51.5074, -0.1278", "52.4862, -1.8904", "53.4808, -2.2426", "55.8642, -4.2518", "48.8566, 2.3522", "43.2965, 5.3698", "45.764, 4.8357", "43.6047, 1.4442", "41.9028, 12.4964", "45.4654, 9.1859", "40.8518, 14.2681", "45.0703, 7.6869" ], "type": "string", "description": "Pick a city to set the search location. Overrides the Location field." }, "location": { "title": "Location", "type": "string", "description": "Latitude and longitude separated by a comma (e.g. '40.4165, -3.70256'). Ignored if City is selected.", "default": "40.4165, -3.70256" }, "orderBy": { "title": "Order By", "enum": [ "newest", "closest", "most_relevance", "price_low_to_high", "price_high_to_low" ], "type": "string", "description": "Sort order for search results", "default": "newest" }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of items to push to the dataset (0 = unlimited)", "default": 30 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```