# OfferUp Classifieds Scraper (`crawlerbros/offerup-scraper`) Actor Scrape OfferUp.com listings by keyword search or by category. Get price, condition, description, category, location, and photos for local classifieds. - **URL**: https://apify.com/crawlerbros/offerup-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, E-commerce, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## OfferUp Scraper Scrape local classifieds listings from [OfferUp](https://offerup.com) — one of the largest mobile-first marketplaces in the US. Search by keyword or browse by category, and get price, condition, description, category, seller location, and photos for every listing. No login and no browser required. ### What this actor does - **Search by keyword** — free-text search across OfferUp's live listing feed (e.g. `bike`, `iphone`, `couch`, `power tools`) - **Browse by category** — pick any of OfferUp's 14 top-level categories (Electronics & Media, Home & Garden, Vehicles, Collectibles & Art, and more) - **Built-in filters** — price range and seller-reported condition (New / Like New / Good / Fair / Poor) - **Enriched detail** — every listing is enriched with its full description, condition, category, and post date straight from the listing page - **Clean output** — every field is real data pulled straight from OfferUp; empty fields are simply omitted, never left blank or null ### Output per listing - `listingId` - `title`, `description` - `price`, `currency` (USD) - `condition` — New / Like New / Good / Fair / Poor - `category` — resolved category name (e.g. `Bikes & Cycling`, `Computers & Accessories`) - `location` — seller's posted city/state - `imageUrl` — listing photo - `listingUrl` — direct link to the OfferUp listing - `postedAt` — when the listing was posted - `sourceUrl`, `scrapedAt`, `recordType` ### Input | Field | Type | Default | Description | |---|---|---|---| | `mode` | string | `search` | `search` (keyword) or `byCategory` (browse) | | `searchQuery` | string | `bike` | Free-text search (mode=search) | | `category` | string | `Electronics & Media` | Category to browse (mode=byCategory) | | `minPrice` / `maxPrice` | int | – | Price range in USD | | `condition` | string | – | Keep only listings of this condition | | `maxItems` | int | `20` | Hard cap on emitted records | #### Example: keyword search with a price cap ```json { "mode": "search", "searchQuery": "iphone", "maxPrice": 500, "condition": "Good" } ```` #### Example: browse a category ```json { "mode": "byCategory", "category": "Sports & Outdoors", "maxItems": 30 } ``` ### FAQ **Do I need an OfferUp account or cookies?** No. This actor reads OfferUp's public listing pages directly — no login, no API key, no cookies. **How many listings does one run return?** OfferUp renders a single results page per unique search or category, typically up to ~49 listings. Run different keyword searches to explore more of the live feed. **Why does location look generic for some listings?** OfferUp's search results are centered on the scraping infrastructure's own network location; each listing's own seller-posted location (city/state) is still shown whenever OfferUp publishes it. **Why are some fields missing on certain listings?** Only fields OfferUp actually publishes for a given listing are included — not every seller writes a description, for example. Fields are never filled with placeholder or guessed values. **What does `condition` mean?** It reflects OfferUp's own seller-reported condition scale: New, Like New, Good, Fair, or Poor. # Actor input Schema ## `mode` (type: `string`): What to fetch. ## `searchQuery` (type: `string`): Free-text search, e.g. `bike`, `iphone`, `couch`. ## `category` (type: `string`): Browse listings from a top-level OfferUp category. ## `minPrice` (type: `integer`): Drop listings priced below this amount. ## `maxPrice` (type: `integer`): Drop listings priced above this amount. ## `condition` (type: `string`): Only keep listings with this seller-reported condition. ## `maxItems` (type: `integer`): Hard cap on emitted records. OfferUp renders a single results page per search/category (typically up to ~49 listings); run additional searches to explore more inventory. ## Actor input object example ```json { "mode": "search", "searchQuery": "bike", "category": "Electronics & Media", "maxItems": 20 } ``` # Actor output Schema ## `listings` (type: `string`): Dataset containing all scraped OfferUp listings. # 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 = { "mode": "search", "searchQuery": "bike", "category": "Electronics & Media", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/offerup-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 = { "mode": "search", "searchQuery": "bike", "category": "Electronics & Media", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/offerup-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 '{ "mode": "search", "searchQuery": "bike", "category": "Electronics & Media", "maxItems": 20 }' | apify call crawlerbros/offerup-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/offerup-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OfferUp Classifieds Scraper", "description": "Scrape OfferUp.com listings by keyword search or by category. Get price, condition, description, category, location, and photos for local classifieds.", "version": "1.0", "x-build-id": "P0Qn6WhGaM6fZEgfe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~offerup-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-offerup-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~offerup-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-offerup-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~offerup-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-offerup-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "byCategory" ], "type": "string", "description": "What to fetch.", "default": "search" }, "searchQuery": { "title": "Search query (mode=search)", "type": "string", "description": "Free-text search, e.g. `bike`, `iphone`, `couch`.", "default": "bike" }, "category": { "title": "Category (mode=byCategory)", "enum": [ "Electronics & Media", "Home & Garden", "Clothing, Shoes, & Accessories", "Baby & Kids", "Vehicles", "Toys, Games, & Hobbies", "Sports & Outdoors", "Collectibles & Art", "Pet supplies", "Health & Beauty", "Wedding", "Business equipment", "Tickets", "General" ], "type": "string", "description": "Browse listings from a top-level OfferUp category.", "default": "Electronics & Media" }, "minPrice": { "title": "Min price (USD)", "minimum": 0, "maximum": 1000000, "type": "integer", "description": "Drop listings priced below this amount." }, "maxPrice": { "title": "Max price (USD)", "minimum": 0, "maximum": 1000000, "type": "integer", "description": "Drop listings priced above this amount." }, "condition": { "title": "Condition", "enum": [ "New", "Like New", "Good", "Fair", "Poor" ], "type": "string", "description": "Only keep listings with this seller-reported condition." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 49, "type": "integer", "description": "Hard cap on emitted records. OfferUp renders a single results page per search/category (typically up to ~49 listings); run additional searches to explore more inventory.", "default": 20 } } }, "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 } } } } } } } } } } ```