# Takealot Price & Stock Tracker (`loopwalker-owner/takealot-price-tracker`) Actor Track prices, discounts, ratings, and stock for any Takealot search query as structured JSON. - **URL**: https://apify.com/loopwalker-owner/takealot-price-tracker.md - **Developed by:** [Armand Oberholzer](https://apify.com/loopwalker-owner) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 product results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Takealot Price & Stock Tracker ### What does Takealot Price Tracker do? This actor tracks **product prices, discounts, ratings, and stock availability on [Takealot](https://www.takealot.com)** — South Africa's largest online retailer. Give it search queries ("logitech mouse", "air fryer", a brand name) and it returns clean JSON for every matching product: current price in ZAR, list price, % saving, stock status, and a direct product URL. Schedule it on Apify to build price histories, get repricing signals, or fire alerts when something drops below your target. ### Why use it? - **Sellers & brands**: monitor competitor pricing and stock-outs daily. - **Deal hunters & affiliate sites**: detect discounts the moment they land. - **Analysts**: build ZA e-commerce price datasets without writing a scraper. ### How to use it 1. Enter one or more search queries in the input. 2. Run (or schedule) the actor. 3. Download the dataset or read it via the API — one row per product. ### Input ```json { "queries": ["logitech mouse", "dyson v8"], "maxResultsPerQuery": 20 } ```` ### Output ```json { "query": "logitech mouse", "plid": 94928735, "title": "Logitech M185 Wireless Mouse", "brand": "Logitech", "priceZar": 329, "listPriceZar": 399, "prettyPrice": "R 329", "saving": "18%", "inStock": true, "stockStatus": "In stock", "rating": 4.6, "reviews": 1240, "url": "https://www.takealot.com/logitech-m185-wireless-mouse/PLID94928735", "checkedAt": "2026-07-25T18:00:00.000Z" } ``` You can download the dataset in JSON, CSV, or Excel formats. | Field | Meaning | | --- | --- | | `priceZar` | Current buy-box price (ZAR) | | `listPriceZar` | Original list price | | `saving` | Discount percentage as shown on Takealot | | `inStock` / `stockStatus` | Availability | | `plid` / `url` | Takealot product id and canonical URL | ### Automate it: Tasks + scheduling (recommended) One-off runs answer a question; schedules build an asset. Two minutes of setup: 1. On this actor's page click **Create task** — it saves your input (your queries) as a reusable configuration. 2. Open the task's **Schedule** tab and pick a cadence — daily at 07:00 works well for price tracking. 3. Every run appends to your dataset history, so you get a **price time series per product** for free. 4. Use the task's **Integrations** tab to push results to Google Sheets, Slack, or a webhook (Make/Zapier supported) — e.g. alert when `priceZar` drops below your target. Pro pattern: one task per concern — "competitor-mice", "own-listings", "clearance-watch" — each with its own schedule and integration. ### Pricing Pay-per-event: a small flat fee per run plus a fraction of a cent per product row. Tracking 5 queries × 20 products daily costs a few cents per day. ### Disclaimers & support Reads the same public, unauthenticated search API the Takealot website uses; no login, no personal data. Use reasonable schedules (the actor rate-limits itself between queries). Issues tab is monitored within the Apify 14-day SLA. # Actor input Schema ## `queries` (type: `array`): Takealot search terms to track, e.g. product names, brands, or categories. ## `maxResultsPerQuery` (type: `integer`): Maximum products returned per query (1-100). ## Actor input object example ```json { "queries": [ "logitech mouse" ], "maxResultsPerQuery": 20 } ``` # 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 = { "queries": [ "logitech mouse" ] }; // Run the Actor and wait for it to finish const run = await client.actor("loopwalker-owner/takealot-price-tracker").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 = { "queries": ["logitech mouse"] } # Run the Actor and wait for it to finish run = client.actor("loopwalker-owner/takealot-price-tracker").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 '{ "queries": [ "logitech mouse" ] }' | apify call loopwalker-owner/takealot-price-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=loopwalker-owner/takealot-price-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Takealot Price & Stock Tracker", "description": "Track prices, discounts, ratings, and stock for any Takealot search query as structured JSON.", "version": "0.0", "x-build-id": "xeB3OafuY01qLmAB5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/loopwalker-owner~takealot-price-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-loopwalker-owner-takealot-price-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/loopwalker-owner~takealot-price-tracker/runs": { "post": { "operationId": "runs-sync-loopwalker-owner-takealot-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/loopwalker-owner~takealot-price-tracker/run-sync": { "post": { "operationId": "run-sync-loopwalker-owner-takealot-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Search queries", "type": "array", "description": "Takealot search terms to track, e.g. product names, brands, or categories.", "items": { "type": "string" } }, "maxResultsPerQuery": { "title": "Max results per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum products returned per query (1-100).", "default": 20 } } }, "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 } } } } } } } } } } ```