![ResellerRatings Scraper [$2.10/1K๐ฐ] | Merchants | Reviews avatar](https://images.apifyusercontent.com/NphluNTir-CWSqEtbYgZ1iXaOHpR90wNzxY0umjbeRE/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZHRSN3FuVGJRck5pU0NtajctYWN0b3ItSE8ydjlIZnM3MDJIdmRsZTUtdGt5WFVBQURHci1yZXNlbGxlcnJhdGluZ3MucG5n.webp){kind=avatar}
ResellerRatings Scraper [$2.10/1K๐ฐ] | Merchants | Reviews
Pricing
from $1.05 / 1,000 reviews
Scrape merchant profiles and full review archives from ResellerRatings - store ratings, sub-ratings, verified-buyer flags, review text, votes, sentiment and merchant replies. Discover 35,500+ sellers from the sitemap. No browser needed.
You can access the ResellerRatings Scraper [$2.10/1K๐ฐ] | Merchants | Reviews programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in API & Integrations in Apify Console.
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{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "tIPbfPHgTS2pOIfw6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahmed_jasarevic~resellerratings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahmed_jasarevic-resellerratings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/ahmed_jasarevic~resellerratings-scraper/runs": { "post": { "operationId": "runs-sync-ahmed_jasarevic-resellerratings-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/ahmed_jasarevic~resellerratings-scraper/run-sync": { "post": { "operationId": "run-sync-ahmed_jasarevic-resellerratings-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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Store profile URLs (https://www.resellerratings.com/store/Pro_star) or category landing pages (https://www.resellerratings.com/category/adult). Bare slugs such as \"Pro_star\" also work. Category URLs are discovered into their stores, then each store is crawled. Ignored if empty.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "storeSlugs": { "title": "Store slugs", "type": "array", "description": "Store SEO names to crawl, e.g. [\"Pro_star\", \"JustAnswer\"]. Used when startUrls is empty.", "items": { "type": "string" } }, "categoryUrls": { "title": "Category URLs", "type": "array", "description": "Category landing pages whose stores should be scraped, e.g. [\"https://www.resellerratings.com/category/adult\"]. Each URL is read as JSON, the merchants it lists are ranked, and the top maxStores are crawled. Bare slugs (\"adult\") work too.", "items": { "type": "string" } }, "categories": { "title": "Category discovery", "type": "array", "description": "Discover merchants by category slug through the internal /search JSON endpoint, e.g. [\"adult\"], [\"Computers & Electronics\"]. Unlike categoryUrls this walks every /search page, so it finds more merchants in the same category.", "items": { "type": "string" } }, "discoverySort": { "title": "How discovered stores are ranked", "enum": [ "reviewCount", "rating", "site" ], "type": "string", "description": "Which stores survive maxStores. 'reviewCount' (default) picks the merchants with the deepest review archives - the site's own default order ranks 10.00-rated shops with a single review first, which returns almost no reviews. 'site' keeps the endpoint order (see searchSort).", "default": "reviewCount" }, "minReviewsPerStore": { "title": "Min reviews per store", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Skip discovered stores that advertise fewer than this many reviews. 0 = no filter. Use it with a high maxStores to crawl only the merchants worth paginating.", "default": 0 }, "maxDiscoveryPages": { "title": "Max discovery pages", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many /search result pages to read per category before ranking (20 stores per page). Raise it when a category is larger than the top stores you need. Ignored for categoryUrls, whose landing page is not paginated.", "default": 1 }, "searchSort": { "title": "Search sort (discoverySort = site only)", "type": "string", "description": "Sort passed to /search when discoverySort is 'site'. Try: \"overallscore desc\", \"reviewcount desc\", \"replyrate desc\".", "default": "overallscore desc" }, "useSitemap": { "title": "Use seller sitemap", "type": "boolean", "description": "When no startUrls/storeSlugs/categories are given, seed store URLs from the seller_info sitemap index (~35.5k merchants). Set to false for an empty run.", "default": false }, "sort": { "title": "Review sort order", "type": "string", "description": "Optional review sort: date, rating, overallscore, relevance, updated. Empty = site default (newest first).", "default": "" }, "mode": { "title": "Output mode", "enum": [ "all", "stores", "reviews" ], "type": "string", "description": "all = store profiles + reviews (default). stores = merchant profiles only. reviews = review archive only.", "default": "all" }, "maxStores": { "title": "Max stores", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of stores to crawl per category/discovery source. Applied after discoverySort ranking.", "default": 10 }, "maxReviewsPerStore": { "title": "Max reviews per store", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Stop paginating a store after this many reviews.", "default": 5 }, "maxRequestsPerCrawl": { "title": "Max requests per crawl", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Hard cap on total HTTP requests for this run. Each store page holds ~15 reviews, so budget roughly maxRequestsPerCrawl / 4 stores, plus maxDiscoveryPages.", "default": 200 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "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 ResellerRatings Scraper [$2.10/1K๐ฐ] | Merchants | Reviews from the options below:
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