{ "openapi": "3.0.1", "info": { "title": "Lidl.es Products, Weekly Offers, Prices & Reviews Scraper", "description": "Scrape Lidl.es grocery and non-food products across weekly offers, tools, home, garden, kitchen, fashion, kids, sport and more. Search by keyword, department or URL. Extract prices, was-prices, discounts, package formats, images, ratings and full shopper reviews.", "version": "1.0", "x-build-id": "pycdrKdGIQwPLDTNg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~lidl-es-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-lidl-es-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/abotapi~lidl-es-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-lidl-es-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/abotapi~lidl-es-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-lidl-es-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "url" ], "type": "string", "description": "'search' browses the Lidl.es catalogue (grocery weekly offers + the bazaar/non-food range) by keyword, department, brand and filters. 'url' scrapes any product, search/specials, or category link you paste.", "default": "search" }, "searchTerm": { "title": "Search keyword", "type": "string", "description": "Free-text keyword against Lidl's own search index, e.g. 'bateria' or 'sandia'. Leave empty (with a Department set) to browse a whole department." }, "category": { "title": "Department", "enum": [ "", "bricolaje-jardin", "cocina-hogar", "hogar-decoracion", "deporte-tiempo-libre", "moda-accesorios", "bebe-infantil-juguetes", "alimentacion" ], "type": "string", "description": "Narrow to one of Lidl.es's real top-level departments, spanning both the bazaar/non-food weekly range and grocery. Leave as 'Any' to search across the whole catalogue.", "default": "" }, "brand": { "title": "Brand", "type": "string", "description": "Only return products from this brand, exactly as Lidl shows it (e.g. 'PARKSIDE', 'SILVERCREST', 'CRIVIT'). Leave empty for all brands." }, "specialsOnly": { "title": "Weekly offers only", "type": "boolean", "description": "Narrows to Lidl's own genuine weekly-offer markdowns (real strike-through was-price + discount %) -- the same set as the site's own 'Descuentos' page.", "default": false }, "minPrice": { "title": "Minimum price (EUR)", "type": "number", "description": "Only return products priced at or above this amount, in euros." }, "maxPrice": { "title": "Maximum price (EUR)", "type": "number", "description": "Only return products priced at or below this amount, in euros." }, "minRating": { "title": "Minimum rating (1-5)", "type": "number", "description": "Only return products with a shopper rating at or above this value." }, "sortBy": { "title": "Sort order", "enum": [ "RELEVANCE", "PRICE_ASC", "PRICE_DESC", "NEWEST", "TOP_RATED", "BESTSELLERS", "BIGGEST_DISCOUNT" ], "type": "string", "description": "Sort order for the results, using Lidl's own real sort options.", "default": "RELEVANCE" }, "urls": { "title": "URLs to scrape", "uniqueItems": true, "type": "array", "description": "Paste one or more Lidl.es product pages (lidl.es/p//p), search/specials pages (lidl.es/q/query/), or department listing pages (lidl.es/h//h or lidl.es/c//s). Filter fields above are ignored in this mode.", "items": { "type": "string" } }, "fetchDetails": { "title": "Fetch shopper reviews", "type": "boolean", "description": "Adds the site's own full review feed (rating breakdown, star histogram, per-review text/author/votes) for each product. Current price, was-price, unit price, images, description and the rating summary are already included without this toggle. Always on for a pasted product URL.", "default": false }, "maxPages": { "title": "Max search pages", "minimum": 0, "type": "integer", "description": "Stop after fetching this many result pages. Leave empty for no limit -- the run stops at Max products total." }, "maxItems": { "title": "Max products total", "minimum": 0, "type": "integer", "description": "Hard cap on total products returned across the run. 0 = unlimited (still bounded by Max search pages).", "default": 20 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy configuration used to route requests. The default works out of the box.", "default": { "useApifyProxy": true } }, "mcpConnectors": { "title": "Pipe results into your apps (optional)", "type": "array", "description": "Optionally send the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize a connector once under Apify -> Settings -> Integrations, then select it here. The connector receives a condensed, human-readable summary per item (title + key fields), not the full JSON; the complete record stays in the dataset. Leave empty to skip. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com)." }, "notionParentPageUrl": { "title": "Notion parent page (Notion connector only)", "type": "string", "description": "URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors." }, "maxNotifyListings": { "title": "Max items to export per connector", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on items written to each connector per run. Does not affect the dataset.", "default": 50 } } }, "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 } } } } } } } } } }