# 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:** 27 total users, 11 monthly users, 97.6% runs succeeded, 1 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 # 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": "gvoQAgyY3j4QFe1AU" }, "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 } } } } } } } } } } ```