REI Product Scraper
Pricing
from $4.75 / 1,000 overview products
Scrape REI products — price, ratings, images, colors, specs & features. Keyword or category search, full detail enrichment, clean JSON/CSV, no code.
You can access the REI Product Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "fYvigauxY87flL1Vn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sian.agency~rei-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sian.agency-rei-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/sian.agency~rei-product-scraper/runs": { "post": { "operationId": "runs-sync-sian.agency-rei-product-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/sian.agency~rei-product-scraper/run-sync": { "post": { "operationId": "run-sync-sian.agency-rei-product-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": { "keywords": { "title": "🔍 Search Keywords", "type": "array", "description": "🔍 **KEYWORD SEARCH:** Free-text REI searches — exactly what you'd type into the site's search bar.\n\n📝 **EXAMPLES:** `hiking boots` · `backpacking tent` · `down jacket` · `trail running shoes`\n\n💡 **TIP:** Add one keyword per line — each runs as its own search and all results land in the same dataset.\n\n🖊️ **BULK EDIT:** Click \"Bulk edit\" to paste many keywords at once (one per line).\n\n✅ **IMPORTANT:** Provide either keywords OR category paths (at least one is needed to have something to scrape).", "default": [ "hiking boots" ], "items": { "type": "string" } }, "categories": { "title": "🧭 Category Paths (Advanced)", "type": "array", "description": "🧭 **CATEGORY BROWSING (Advanced):** Scrape a whole REI category instead of a keyword search.\n\n🔧 **HOW TO GET IT:** Open any REI category page and copy the `/c/<category>` path from the URL (e.g. `/c/tents` from `rei.com/c/tents`). Paste either the full path (`/c/tents`) or just the slug (`tents`).\n\n💡 **TIP:** Leave this empty if you're only using keywords — it's purely an advanced alternative for category-level harvesting.\n\n🖊️ **BULK EDIT:** Add one category per line to sweep multiple categories in a single run.", "items": { "type": "string" } }, "scrapeMode": { "title": "⚙️ Scrape Mode", "enum": [ "overview", "detail" ], "type": "string", "description": "⚙️ **SCRAPE DEPTH:** Choose how much data to pull per product.\n\n⚡ **Overview (fast):** Search results only — title, brand, price (current/sale/compare-at), ratings, images, available colors and stock flags. Fastest and cheapest path.\n\n🔬 **Detail (enriched specs):** Everything in Overview PLUS the full technical specifications table, the complete feature list, the long product description, the rating histogram and category breadcrumbs scraped from each product page.\n\n💡 **TIP:** Start with Overview to scope your catalog, then switch to Detail when you need the complete spec sheet for feeds or comparisons.", "default": "overview" }, "sort": { "title": "🔃 Sort Order", "enum": [ "best_match", "top_rated", "price_low", "price_high", "newest", "bestselling" ], "type": "string", "description": "🔃 **RESULT ORDERING:** Order search results using REI's own native sort options — so you get the same ranking real shoppers see.\n\n🎯 **Best match** is REI's default relevance ranking · ⭐ **Top rated** leads with the highest-reviewed items · 💲 **Price** sorts ascending or descending · 🆕 **Newest** prioritizes the latest arrivals · 🔥 **Bestselling** surfaces the most popular products.", "default": "best_match" }, "maxResults": { "title": "🔢 Max Results", "minimum": 1, "type": "integer", "description": "🔢 **RESULT CAP:** Maximum number of products to return across all keywords and categories combined.\n\n🎁 **TIER-BASED LIMITS:**\n- **FREE users:** Up to 25 products per run\n- **PAID users:** Unlimited — scrape entire catalogs in a single run\n\n💡 **TIP:** Keep this low while you dial in your keywords, then raise it once the output looks right.", "default": 100 } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for REI Product Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: