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Pay per result, no start fee.", "version": "0.1", "x-build-id": "XPA0chb7kwuK0adot" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~lazada-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-lazada-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~lazada-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-lazada-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~lazada-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-lazada-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "What to scrape", "enum": [ "search", "product", "category", "reviews" ], "type": "string", "description": "search = find products by keyword. product = scrape specific product URLs or item IDs. category = browse a product category by name. reviews = customer reviews for the given products. Each mode returns exactly ONE record type, so your CSV never has half-empty columns.", "default": "search" }, "market": { "title": "Lazada market", "enum": [ "SG", "MY", "PH", "ID", "TH", "VN" ], "type": "string", "description": "Which Lazada country site to scrape. Prices come back in that market's own currency.", "default": "SG" }, "searchTerms": { "title": "Search keywords", "type": "array", "description": "One or more keywords, e.g. \"wireless earbuds\". Used by the search mode. Leave empty and the actor runs a small sample search so it always returns real data.", "items": { "type": "string" } }, "productUrls": { "title": "Product URLs or item IDs", "type": "array", "description": "Lazada product page URLs (https://www.lazada.sg/products/...-i1234567890.html) or bare numeric item IDs. Used by the product and reviews modes.", "items": { "type": "string" } }, "categoryKeywords": { "title": "Category keywords", "type": "array", "description": "Category words to browse, e.g. \"laptop\", \"running shoes\". Used by the category mode.", "items": { "type": "string" } }, "catalogue": { "title": "Which Lazada catalogue to search", "enum": [ "all", "selling", "lazmall", "choice", "freeShipping", "trending" ], "type": "string", "description": "all = Lazada's main product sitemap (default; ~616,000 live products, measured 9/10 still listed). lazmall / choice / freeShipping / trending = Lazada's own curated shelves. selling = products that took orders in the last 30 days - demand-ranked, but Lazada regenerates that sitemap on a lag so roughly 40% of its entries are already delisted and return fewer results per run.", "default": "all" }, "maxItems": { "title": "Maximum results", "minimum": 0, "maximum": 5000, "type": "integer", "description": "How many records to return. 0 means as many as the run's time budget allows.", "default": 50 }, "includeReviews": { "title": "Include customer reviews in each product record", "type": "boolean", "description": "Nests the newest reviews inside every product record (rating, text, buyer, date, variant bought). The rating average, review count and 5-to-1 star histogram are always included regardless.", "default": true }, "maxReviewsPerProduct": { "title": "Reviews nested per product", "minimum": 0, "maximum": 20, "type": "integer", "description": "How many reviews to nest inside each product record when the option above is on.", "default": 10 }, "minPrice": { "title": "Minimum price", "minimum": 0, "type": "integer", "description": "Only keep products at or above this price, in the market's own currency." }, "maxPrice": { "title": "Maximum price", "minimum": 0, "type": "integer", "description": "Only keep products at or below this price, in the market's own currency." }, "minRating": { "title": "Minimum rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only keep products whose average customer rating is at least this (1-5)." }, "minReviews": { "title": "Minimum review count", "minimum": 0, "type": "integer", "description": "Only keep products with at least this many customer reviews - a good proxy for proven sales." }, "concurrency": { "title": "Parallel requests", "minimum": 1, "maximum": 12, "type": "integer", "description": "How many products to fetch at once. Each parallel worker uses its own proxy session (its own IP), which is what keeps Lazada from rate-limiting the run. Raise it for speed, lower it if you see throttling.", "default": 6 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxy is strongly recommended - Lazada throttles datacenter IPs. 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