# Blocket.se Scraper | Swedish Classifieds Marketplace (`longanimous_bracken/blocket-se-scraper`) Actor Scrape Blocket.se (Swedish marketplace). Extracts title, price, location, image, item ID. Optional detail pages for description, condition, brand, category path. Multi-page pagination, price/region filters, CSV/JSON output. - **URL**: https://apify.com/longanimous\_bracken/blocket-se-scraper.md - **Developed by:** [petteri mähönen](https://apify.com/longanimous_bracken) (community) - **Categories:** E-commerce, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results 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 ## Blocket.se Scraper Scrape **Blocket.se**, Sweden's largest classifieds marketplace. Extracts listing titles, prices, locations, and images from search results. Optionally crawls detail pages for full descriptions, condition, brand, and category data. ### Features - **Search result extraction** — title, price, location, image URL, item ID - **Detail page extraction** — description, condition, brand, category path, all images - **Multi-page pagination** — scrape multiple pages of results - **Price filtering** — filter by min/max price (SEK) - **Region filtering** — filter by Swedish county (län) - **Sort options** — relevance, newest, cheapest, most expensive - **Output formats** — dataset, CSV, JSON, or all - **Webhook delivery** — POST results to your webhook URL on completion - **Anti-detection** — stealth mode, random delays with jitter ### Input | Field | Type | Default | Description | |---|---|---|---| | `searchQuery` | string | `"iphone"` | Search term | | `maxPages` | number | `1` | Number of search pages to scrape | | `priceMin` | number | — | Minimum price in SEK | | `priceMax` | number | — | Maximum price in SEK | | `regions` | stringList | — | Filter by Swedish counties | | `sort` | select | `relevance` | Sort: relevance, newest, cheapest, most_expensive | | `fetchDetails` | checkbox | false | Visit detail pages for extra data | | `detailDelaySecs` | number | `2` | Delay between detail page visits | | `outputFormat` | select | `dataset` | Output: dataset, csv, json, all | | `webhookUrl` | string | — | Webhook URL for POST delivery | ### Output Each listing includes: | Field | Source | |---|---| | `title` | Search results | | `price` | Search results (formatted, e.g. "6 500 kr") | | `price_numeric` | Search results (parsed, e.g. 6500) | | `location` | Search results | | `region` | Search results | | `url` | Search results | | `image_url` | Search results | | `item_id` | Search results | | `search_query` | Input | | `page_number` | Search results | | `scraped_at` | ISO timestamp | | `description` | Detail page (if `fetchDetails: true`) | | `condition` | Detail page (NewCondition → "Kuin uusi") | | `brand` | Detail page (e.g. "Apple") | | `category_path` | Detail page (breadcrumb) | | `images` | Detail page (array of URLs) | ### Example ```json { "searchQuery": "iphone", "maxPages": 2, "sort": "newest", "priceMin": 1000, "priceMax": 10000, "regions": ["Stockholm", "Västra Götaland"], "fetchDetails": true, "outputFormat": "all" } ```` ### Performance - \~30 listings per search page - \~1-2 seconds per search page - \~2 seconds per detail page visit - 2 GB RAM allocation (PlaywrightCrawler) ### Notes - Region filtering is applied **post-extraction** (Blocket.se strips URL filter params) - Detail fields are `null` when `fetchDetails: false` - The `condition` field is mapped from schema.org (`NewCondition` → "Kuin uusi", `UsedCondition` → "Käytetty") ### 💬 Quick Start for AI Assistants Copy and paste this into ChatGPT, Claude, or another AI assistant to get help using this actor: *** You are helping me use the "Blocket.se Scraper" on Apify (actor ID: dpxoWnzoNLSJeWH4n). It extracts listings from blocket.se, Sweden's largest classifieds marketplace. Input fields: - searchQuery: string, e.g. "iphone" - maxPages: number, pages to scrape (default: 1) - priceMin, priceMax: number, filter by SEK (default: none) - regions: string array, e.g. \["Stockholm", "Västra Götaland"] - sort: string, "relevance" | "newest" | "cheapest" | "most\_expensive" - fetchDetails: boolean, visit detail pages for descriptions, condition, brand - detailDelaySecs: number, seconds between detail visits (default: 2) - outputFormat: "dataset" | "csv" | "json" | "all" - webhookUrl: string, optional HTTPS URL for POST delivery Output fields: title, price, price\_numeric, location, region, url, image\_url, item\_id, search\_query, page\_number, scraped\_at + detail fields (description, condition, brand, category\_path, images). ## Help me with the right input, output processing, or troubleshooting. ### 📋 Changelog | Version | Date | Changes | |---------|------|---------| | 0.0.6 | 2026-07-15 | Added AI assistant prompt block, enriched README, updated actor title with keywords | | 0.0.5 | 2026-07-15 | Multi-page pagination working — 30 listings across 3 pages (Stockholm + Göteborg), 0 errors, 17s runtime | | 0.0.1 | 2026-07-13 | Initial release — Blocket.se listing extraction with PlaywrightCrawler | # Actor input Schema ## `searchQuery` (type: `string`): Search term — Swedish or English keywords (e.g. 'iphone', 'lägenhet', 'cykel'). ## `maxPages` (type: `integer`): Number of search result pages to scrape (~30 listings per page). Default: 1. ## `priceMin` (type: `integer`): Minimum price in SEK. Applied post-extraction. ## `priceMax` (type: `integer`): Maximum price in SEK. Applied post-extraction. ## `regions` (type: `array`): Filter by one or more Swedish regions/län (counties). Leave empty for all regions. Examples: Stockholm, Västra Götaland, Skåne, Uppsala. ## `sort` (type: `string`): Sort order: relevance, newest, cheapest, most\_expensive. ## `fetchDetails` (type: `boolean`): Visit each listing's detail page to extract description, brand, condition, images, category path, and dates. Adds ~2-5s per listing. ## `detailDelaySecs` (type: `integer`): Delay between detail page visits. Jitter (±25%) is added automatically. Only relevant when fetchDetails is true. ## `outputFormat` (type: `string`): Output format: dataset, csv, json, or all. ## `webhookUrl` (type: `string`): HTTPS URL to POST all listings to on completion. ## Actor input object example ```json { "searchQuery": "iphone", "maxPages": 1, "regions": [], "sort": "relevance", "fetchDetails": false, "detailDelaySecs": 2, "outputFormat": "dataset" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("longanimous_bracken/blocket-se-scraper").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 = {} # Run the Actor and wait for it to finish run = client.actor("longanimous_bracken/blocket-se-scraper").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 '{}' | apify call longanimous_bracken/blocket-se-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=longanimous_bracken/blocket-se-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Blocket.se Scraper | Swedish Classifieds Marketplace", "description": "Scrape Blocket.se (Swedish marketplace). Extracts title, price, location, image, item ID. Optional detail pages for description, condition, brand, category path. Multi-page pagination, price/region filters, CSV/JSON output.", "version": "0.0", "x-build-id": "aUkzQSHDmMBclAMEF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/longanimous_bracken~blocket-se-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-longanimous_bracken-blocket-se-scraper", "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/longanimous_bracken~blocket-se-scraper/runs": { "post": { "operationId": "runs-sync-longanimous_bracken-blocket-se-scraper", "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/longanimous_bracken~blocket-se-scraper/run-sync": { "post": { "operationId": "run-sync-longanimous_bracken-blocket-se-scraper", "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", "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term — Swedish or English keywords (e.g. 'iphone', 'lägenhet', 'cykel').", "default": "iphone" }, "maxPages": { "title": "Max Pages", "type": "integer", "description": "Number of search result pages to scrape (~30 listings per page). Default: 1.", "default": 1 }, "priceMin": { "title": "Minimum Price (kr)", "type": "integer", "description": "Minimum price in SEK. Applied post-extraction." }, "priceMax": { "title": "Maximum Price (kr)", "type": "integer", "description": "Maximum price in SEK. Applied post-extraction." }, "regions": { "title": "Regions", "type": "array", "description": "Filter by one or more Swedish regions/län (counties). Leave empty for all regions. Examples: Stockholm, Västra Götaland, Skåne, Uppsala.", "default": [], "items": { "type": "string" } }, "sort": { "title": "Sort Order", "type": "string", "description": "Sort order: relevance, newest, cheapest, most_expensive.", "default": "relevance" }, "fetchDetails": { "title": "Fetch Detail Pages", "type": "boolean", "description": "Visit each listing's detail page to extract description, brand, condition, images, category path, and dates. Adds ~2-5s per listing.", "default": false }, "detailDelaySecs": { "title": "Detail Page Delay (seconds)", "type": "integer", "description": "Delay between detail page visits. Jitter (±25%) is added automatically. Only relevant when fetchDetails is true.", "default": 2 }, "outputFormat": { "title": "Output Format", "type": "string", "description": "Output format: dataset, csv, json, or all.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "HTTPS URL to POST all listings to on completion." } } }, "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 } } } } } } } } } } ```