# OfferUp Scraper — No Login Required (`crowdpull/offerup-scraper`) Actor Extract listings from OfferUp marketplace by keyword, location, price, and condition. No login or cookies needed. Supports detailed listing info, date filtering, and Smart Scrape dedup. - **URL**: https://apify.com/crowdpull/offerup-scraper.md - **Developed by:** [Crowd Pull](https://apify.com/crowdpull) (community) - **Categories:** E-commerce, Lead generation, Marketing - **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 listing extracteds 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 — No Login Required Extract listings from **OfferUp** marketplace by keyword, location, price, and condition — no login or cookies required. No browser automation — just fast, lightweight HTTP requests for reliable extraction. ### Features - **No login required** — extracts listings anonymously via OfferUp's internal API - **Smart Scrape (dedup)** — skip listings already scraped in previous runs, saving up to 75% on recurring scrapes - **Full listing details** — description, all photos, seller info, shipping, category, vehicle attributes - **Date filtering** — extract listings newer than a specific date (ISO or relative: `7d`, `30d`, `6m`) - **Location support** — search by city/state, ZIP code, or exact lat/lng coordinates - **Filters** — price range, condition (new, used, refurbished, etc.), delivery method - **Sorting** — newest, closest, price ascending/descending - **Low cost** — runs on 256MB memory, no browser overhead ### Smart Scrape: How It Saves You Money Enable **Smart Scrape** to skip listings you've already extracted. The scraper maintains a persistent cache per search query that survives across runs indefinitely. | | Without Smart Scrape | With Smart Scrape | |---|---|---| | **Run 1** (50 listings) | 50 x $0.00275 = **$0.1375** | 50 x $0.00275 = **$0.1375** | | **Run 2** (12 new) | 50 x $0.00275 = **$0.1375** | 12 new x $0.00275 + 38 skip x $0.001 = **$0.071** | | **Run 3** (12 new) | 50 x $0.00275 = **$0.1375** | 12 new x $0.00275 + 38 skip x $0.001 = **$0.071** | | **Run 4** (12 new) | 50 x $0.00275 = **$0.1375** | 12 new x $0.00275 + 38 skip x $0.001 = **$0.071** | | **Monthly total** | **$0.55** | **$0.35** | | **Unique listings** | 50 (+ 150 duplicates) | 86 (zero duplicates) | | **Cost per unique listing** | $0.011 | $0.004 | **36% cheaper per month. 64% cheaper per unique listing. Zero duplicate cleanup.** #### Refresh Window Set `refreshWindowDays` to re-check recent listings for updated data. For example, `refreshWindowDays: 7` re-scrapes listings from the last 7 days even if cached, so you always get fresh data on recent content. ### What you get per listing #### Search results (default) | Field | Description | |-------|-------------| | `listingId` | Unique OfferUp listing identifier | | `title` | Listing title | | `price` | Listing price | | `condition` | Item condition (New, Used, etc.) | | `locationName` | Seller's location | | `imageUrl` | Primary listing image URL | | `listingUrl` | Direct link to the listing on OfferUp | | `isFirmPrice` | Whether the price is firm (no negotiation) | | `vehicleMiles` | Odometer reading (vehicles only) | | `scrapedAt` | ISO 8601 timestamp of extraction | #### With detail enrichment (`includeDetails: true`) All fields above, plus: | Field | Description | |-------|-------------| | `description` | Full listing description text | | `photos` | Array of all photo URLs (full resolution) | | `sellerName` | Seller's display name | | `sellerId` | Seller's OfferUp user ID | | `sellerRating` | Seller's average rating | | `sellerReviewCount` | Number of seller reviews | | `category` | Category hierarchy (e.g., "Electronics > Phones") | | `postDate` | Original listing post date | | `shippingPrice` | Shipping cost (if available) | | `fulfillment` | Fulfillment methods (pickup, shipping, buy_it_now) | | `vehicleAttributes` | Vehicle details: make, model, year, VIN, color, drivetrain, fuel type, transmission | ### How it works 1. Establishes an anonymous session with OfferUp — no login, no cookies, no browser 2. Resolves location from city/state or ZIP code (or uses provided lat/lng) 3. Searches via OfferUp's internal GraphQL API with your filters 4. Checks each listing against the dedup cache (if Smart Scrape is enabled) 5. Optionally fetches full details for each listing (description, photos, seller info) 6. Applies date filtering on post date (requires `includeDetails`) 7. Saves updated cache for next run ### Input examples #### Basic search ```json { "searchQuery": "furniture", "location": "Chicago, IL", "maxListings": 50 } ```` #### With full details ```json { "searchQuery": "iPhone 15", "location": "Los Angeles, CA", "maxListings": 25, "includeDetails": true, "minPrice": 200, "maxPrice": 800, "condition": ["USED", "OPEN_BOX"] } ``` #### Smart Scrape (incremental monitoring) ```json { "searchQuery": "couch", "location": "Austin, TX", "maxListings": 50, "enableDedup": true, "refreshWindowDays": 7, "sortBy": "-posted" } ``` #### Date-filtered extraction ```json { "searchQuery": "bicycle", "location": "Portland, OR", "maxListings": 30, "includeDetails": true, "onlyListingsNewerThan": "30d" } ``` ### Output example ```json { "listingId": "1847293650", "title": "Mid-Century Modern Sofa - Excellent Condition", "price": "350", "condition": "Used - Good", "locationName": "Chicago, IL", "imageUrl": "https://images.offerup.com/abc123/photo.jpg", "listingUrl": "https://offerup.com/item/detail/1847293650", "isFirmPrice": false, "vehicleMiles": null, "scrapedAt": "2026-03-06T18:30:00.000Z", "description": "Beautiful mid-century modern sofa in excellent condition. No stains or tears. Pet-free, smoke-free home. Dimensions: 84\"W x 36\"D x 32\"H.", "photos": [ "https://images.offerup.com/abc123/photo1_full.jpg", "https://images.offerup.com/abc123/photo2_full.jpg", "https://images.offerup.com/abc123/photo3_full.jpg" ], "sellerName": "Sarah M.", "sellerId": "98765432", "sellerRating": 4.8, "sellerReviewCount": 23, "category": "Home & Garden > Furniture", "postDate": "2026-03-01T10:15:00.000Z", "shippingPrice": null, "fulfillment": ["pickup"], "vehicleAttributes": null } ``` ### Cost estimate This Actor uses **no browser** — just lightweight HTTP requests. | Event | Cost | |-------|------| | Actor start | $0.005 (one-time per run) | | Listing extracted | $0.00275/listing | | Detail fetched | $0.004/listing | | Cache check (Smart Scrape skip) | $0.001/listing | Volume discounts available at higher tiers. ### Is it legal to scrape OfferUp? Our scrapers are ethical and do not extract any private user data, such as email addresses, gender, or location beyond what is publicly displayed. They only extract what the user has chosen to share publicly. We therefore believe that our scrapers, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. ### Limitations - OfferUp's API returns up to ~50 listings per search request - Date filtering (`onlyListingsNewerThan`) requires `includeDetails: true` since search results don't include post dates - OfferUp may change internal APIs — report issues if extraction stops - OfferUp rate limits apply; residential proxies recommended - Location resolution depends on OfferUp's cookie-based geolocation # Actor input Schema ## `searchQuery` (type: `string`): Keyword to search for (e.g. "furniture", "iPhone 15", "couch"). ## `location` (type: `string`): City, State or ZIP code. If provided, latitude/longitude are resolved automatically. Leave empty to use lat/lng fields or OfferUp's IP-based default. ## `latitude` (type: `number`): Override latitude for search center. Skips location resolution if provided with longitude. ## `longitude` (type: `number`): Override longitude for search center. Skips location resolution if provided with latitude. ## `maxListings` (type: `integer`): Maximum number of listings to extract. Set to 0 for unlimited. ## `radiusMiles` (type: `integer`): Search radius in miles from the location center. ## `minPrice` (type: `integer`): Minimum listing price in dollars. ## `maxPrice` (type: `integer`): Maximum listing price in dollars. ## `condition` (type: `array`): Filter by item condition. Select one or more, or leave empty for all conditions. ## `sortBy` (type: `string`): How listings are sorted in results. ## `delivery` (type: `string`): Filter by delivery method. ## `includeDetails` (type: `boolean`): Fetch full listing details (description, all photos, seller info, shipping, category). Adds one request per listing. ## `onlyListingsNewerThan` (type: `string`): Only extract listings newer than this date. Use ISO format (2024-01-15) or relative (7d, 30d, 6m). Leave empty for no date filter. ## `enableDedup` (type: `boolean`): Skip listings already scraped in previous runs. Uses a persistent cache per search query. ## `refreshWindowDays` (type: `integer`): Re-scrape listings from the last N days even if already cached. Set to 0 to never re-scrape. ## `proxyConfig` (type: `object`): Proxy settings. Residential proxies recommended for OfferUp. ## Actor input object example ```json { "searchQuery": "furniture", "maxListings": 50, "radiusMiles": 30, "sortBy": "-posted", "delivery": "p_s", "includeDetails": false, "enableDedup": false, "refreshWindowDays": 0, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "searchQuery": "furniture", "maxListings": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crowdpull/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 = { "searchQuery": "furniture", "maxListings": 50, } # Run the Actor and wait for it to finish run = client.actor("crowdpull/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 '{ "searchQuery": "furniture", "maxListings": 50 }' | apify call crowdpull/offerup-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crowdpull/offerup-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OfferUp Scraper — No Login Required", "description": "Extract listings from OfferUp marketplace by keyword, location, price, and condition. No login or cookies needed. Supports detailed listing info, date filtering, and Smart Scrape dedup.", "version": "1.0", "x-build-id": "mFUQmd46L4JaR1sRN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crowdpull~offerup-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crowdpull-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crowdpull~offerup-scraper/runs": { "post": { "operationId": "runs-sync-crowdpull-offerup-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crowdpull~offerup-scraper/run-sync": { "post": { "operationId": "run-sync-crowdpull-offerup-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for (e.g. \"furniture\", \"iPhone 15\", \"couch\")." }, "location": { "title": "Location", "type": "string", "description": "City, State or ZIP code. If provided, latitude/longitude are resolved automatically. Leave empty to use lat/lng fields or OfferUp's IP-based default." }, "latitude": { "title": "Latitude", "type": "number", "description": "Override latitude for search center. Skips location resolution if provided with longitude." }, "longitude": { "title": "Longitude", "type": "number", "description": "Override longitude for search center. Skips location resolution if provided with latitude." }, "maxListings": { "title": "Max Listings", "minimum": 0, "type": "integer", "description": "Maximum number of listings to extract. Set to 0 for unlimited.", "default": 50 }, "radiusMiles": { "title": "Search Radius (miles)", "minimum": 1, "maximum": 500, "type": "integer", "description": "Search radius in miles from the location center.", "default": 30 }, "minPrice": { "title": "Min Price ($)", "minimum": 0, "type": "integer", "description": "Minimum listing price in dollars." }, "maxPrice": { "title": "Max Price ($)", "minimum": 0, "type": "integer", "description": "Maximum listing price in dollars." }, "condition": { "title": "Condition", "type": "array", "description": "Filter by item condition. Select one or more, or leave empty for all conditions.", "items": { "type": "string", "enum": [ "NEW", "OPEN_BOX", "REFURBISHED", "USED", "BROKEN", "OTHER" ] } }, "sortBy": { "title": "Sort By", "enum": [ "-posted", "distance", "price", "-price" ], "type": "string", "description": "How listings are sorted in results.", "default": "-posted" }, "delivery": { "title": "Delivery Method", "enum": [ "p", "s", "p_s" ], "type": "string", "description": "Filter by delivery method.", "default": "p_s" }, "includeDetails": { "title": "Include Full Details", "type": "boolean", "description": "Fetch full listing details (description, all photos, seller info, shipping, category). Adds one request per listing.", "default": false }, "onlyListingsNewerThan": { "title": "Only Listings Newer Than", "type": "string", "description": "Only extract listings newer than this date. Use ISO format (2024-01-15) or relative (7d, 30d, 6m). Leave empty for no date filter." }, "enableDedup": { "title": "Enable Smart Scrape (Dedup)", "type": "boolean", "description": "Skip listings already scraped in previous runs. Uses a persistent cache per search query.", "default": false }, "refreshWindowDays": { "title": "Refresh Window (days)", "minimum": 0, "maximum": 90, "type": "integer", "description": "Re-scrape listings from the last N days even if already cached. Set to 0 to never re-scrape.", "default": 0 }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies recommended for OfferUp.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```