# Takealot Scraper 🛒 $0.9/1k (`123webdata/takealot-scraper`) Actor $0.9/1k 💰 | Fast ⚡️ | Quick Support 🚀 | Scrape Takealot search and product pages; get prices and availability, seller details, ratings and reviews, and specifications and full-size images. Export JSON or CSV for price monitoring and market research. - **URL**: https://apify.com/123webdata/takealot-scraper.md - **Developed by:** [123 Webdata](https://apify.com/123webdata) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Takealot Scraper Collect structured marketplace product data from Takealot product, category, search, filtered, and seller URLs. ### Issues and feature requests If you encounter an issue or need a field added, open an issue on the Actor page or write to hello@123webdata.com. ### Output Example (simplified) The overview shows the most useful fields in a table. Product images are displayed as thumbnails when the website provides them. | Image | Product URL | Product ID | Product name | Current price | Maximum price | Regular price | Currency | In stock | Brand | Seller | Scraped at | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | https://www.takealot.com/packard-bell-mclaren-c128-11-6-inch-4gb-128gb-laptop/PLID98261808 | PLID98261808 | Packard Bell Mclaren-C128 11.6 Inch 4GB/128GB Laptop | 3799 | | 3999 | ZAR | true | Packard Bell | 360 Direct | 2026-08-19T17:11:05.270Z | ### How to scrape supported list pages This Actor accepts individual product links in `productUrls`. It accepts category pages, search result pages, filtered result pages, and seller pages in `categoryUrls`. 1. Open a supported list page in your browser. 2. Choose a category, run a search, apply the filters, and open a seller page you need. 3. Copy the final URL from the address bar and paste it into `categoryUrls`. The Actor follows the products shown on that page. ### Features - Scrapes detailed marketplace product information from Takealot product pages - Accepts individual product URLs and category pages, search result pages, filtered result pages, and seller pages - Lets you limit the number of saved products and choose whether to continue through additional result pages - Returns structured prices and availability, seller details, ratings and reviews, and specifications and full-size images for viewing, export, and analysis ### Pricing This Actor uses pay-per-event pricing. Its running costs are included. - **Actor start:** $0.02 once per run — One fixed charge for starting a run. - **Result:** $0.00089 each ($0.89 per 1,000) — A product record collected directly from a supported list page. - **Product detail:** $0.00199 each ($1.99 per 1,000) — A full product record collected from its product page. The start charge applies once per run. Each saved product is charged either as a Result or a Product detail, never both. | Results in one run | Result | Product detail | | ---: | ---: | ---: | | 100 | $0.11 | $0.22 | | 1,000 | $0.91 | $2.01 | [Apify's Free plan](https://apify.com/pricing) currently includes $5 in monthly usage credits. If the full $5 is available for this Actor, one run covers about 5,595 Results or 2,502 Product details. Other Apify usage reduces the available credit. ### Input The Actor accepts the following input parameters: | Field | Type | Description | | --- | --- | --- | | `productUrls` | array | Product URLs to scrape | | `categoryUrls` | array | Supported list pages: category pages, search result pages, filtered result pages, and seller pages | | `maxResultsPerScrape` | integer | Maximum number of product records to save | | `usePagination` | boolean | Whether to continue through additional result pages | | `scrapeProductDetails` | boolean | Enabled returns Product detail records with the product-page fields listed below. Disabled returns Result records with the list-level fields. | ### What data you get in each mode Every saved product is stored as one record. `scrapeProductDetails` decides which mode you receive; the lists below name every field each mode can return. A field is empty when the website does not show that information. #### Result A list-level product record with 24 declared fields: `url`, `product_id`, `name`, `subtitle`, `price`, `max_price`, `regular_price`, `currency`, `in_stock`, `stock_status`, `availability_regions`, `delivery_text`, `sku`, `brand`, `main_image`, `images`, `image_count`, `rating_value`, `review_count`, `attributes`, `badges`, `promotion_text`, `canonical_url`, `scraped_at` #### Product detail A full product record with 34 declared fields: `url`, `product_id`, `name`, `price`, `regular_price`, `currency`, `in_stock`, `sku`, `mpn`, `gtin`, `brand`, `category`, `breadcrumbs`, `breadcrumb_urls`, `main_image`, `images`, `description`, `description_html`, `color`, `attributes`, `rating_value`, `review_count`, `seller_name`, `seller_url`, `variants`, `canonical_url`, `scraped_at`, `availability_regions`, `image_count`, `stock_status`, `subtitle`, `badges`, `delivery_text`, `promotion_text` ### Output Example (full) The Actor stores one structured record per product. Card-only records contain only fields available on the list; detail-only fields are omitted. ```json { "attributes": { "Brand": "Packard Bell", "CPU Type": "Intel Celeron", "Warranty": "Limited (6 months)", "RAM Types": "DDR", "Is Backlit": "No", "Screen Size": "11.6'", "Model": "Mclaren 128", "Is Certified Pre-Owned": "No", "What's in the box": "1 x Mclaren-C128 Laptop \n1 x Charger and Cable \n1 x Instruction Manual", "Display Standard": "720p HD Ready", "Device Operating Systems": "Windows", "Number of USB ports": "3", "Touchscreen Enabled": "No", "Number of HDMI Ports": "1", "Device Storage Capacity": "128GB", "Computer Graphics Processor": "Intel Integrated Graphics", "Basic Colours": "Black", "Barcode": "4895206612333" }, "brand": "Packard Bell", "breadcrumb_urls": [ "https://www.takealot.com/computers", "https://www.takealot.com/computers/laptops-27404", "https://www.takealot.com/computers/notebooks-29051" ], "breadcrumbs": [ "Computers & Tablets", "Laptops", "Notebooks" ], "canonical_url": "https://www.takealot.com/packard-bell-mclaren-c128-11-6-inch-4gb-128gb-laptop/PLID98261808", "category": "Notebooks", "color": "Black", "currency": "ZAR", "description": "Packard Bell McLaren-C128 11.6\" Laptop - Compact, Efficient, and Built for Everyday Use\n\nThe Packard Bell McLaren-C128 is a sleek, portable laptop designed for effortless productivity and on-the-go convenience. Powered by an Intel Celeron N4020 processor, 4GB of DDR RAM, and a 128GB storage capacity, it delivers reliable performance for everyday tasks like browsing, streaming, studying, and working remotely.\n\nIts 11.6-inch HD Ready display (1366 x 768) provides clear visuals in a compact frame, making it ideal for students, travelers, and anyone who values mobility. With built-in Wi-Fi (802.11 b/g/n/AC) and Bluetooth 5.0, you're always connected wherever you are.\n\nKey Features:\n11.6\" HD Ready Display (1366 x 768)\nIntel Celeron N4020 Processor\n4GB DDR RAM | 128GB Storage\nBuilt-in Wi-Fi & Bluetooth 5.0 for seamless connectivity\n2MP Front Camera for video calls and conferencing\nLong-lasting 7.4V 4000mAh Li-ion Battery\nSlim, lightweight design perfect for travel or school\n\nPorts & Connectivity:\n1x Mini HDMI\n1x USB 3.0 | 1 x USB 2.0\n1x USB Type-C (Data only)\n1x Audio Jack\n1x Micro SD Card Slot\n12V 2A Power Supply\n\nWhether you're working, learning, or just browsing, the Packard Bell McLaren-C128 offers the performance and portability you need-compact, capable, and ready to go wherever life takes you.\nWhat's in the box\n\n1 x Mclaren-C128 Laptop\n\n1 x Charger and Cable\n\n1 x Instruction Manual", "description_html": "

Packard Bell McLaren-C128 11.6\" Laptop - Compact, Efficient, and Built for Everyday Use

The Packard Bell McLaren-C128 is a sleek, portable laptop designed for effortless productivity and on-the-go convenience. Powered by an Intel Celeron N4020 processor, 4GB of DDR RAM, and a 128GB storage capacity, it delivers reliable performance for everyday tasks like browsing, streaming, studying, and working remotely.

Its 11.6-inch HD Ready display (1366 x 768) provides clear visuals in a compact frame, making it ideal for students, travelers, and anyone who values mobility. With built-in Wi-Fi (802.11 b/g/n/AC) and Bluetooth 5.0, you're always connected wherever you are.

Key Features:

Ports & Connectivity:

Whether you're working, learning, or just browsing, the Packard Bell McLaren-C128 offers the performance and portability you need-compact, capable, and ready to go wherever life takes you.

What's in the box
\n1 x Mclaren-C128 Laptop
\n1 x Charger and Cable
\n1 x Instruction Manual

", "gtin": "4895206612333", "images": [ "https://media.takealot.com/covers_images/3bb442502c3a423ca3032142496e4201/s-zoom.file", "https://media.takealot.com/covers_images/9d2b8fc614e2460fb3ca8b8595d2a31c/s-zoom.file", "https://media.takealot.com/covers_images/c7b18a2d6fb94a4ab6d5ccea0b10fb58/s-zoom.file", "https://media.takealot.com/covers_images/9376a5405f894493a143dea223943497/s-zoom.file", "https://media.takealot.com/covers_images/5d2353ad135b4114a786eed806d86157/s-zoom.file" ], "in_stock": true, "main_image": "https://media.takealot.com/covers_images/3bb442502c3a423ca3032142496e4201/s-zoom.file", "mpn": "Mclaren 128", "name": "Packard Bell Mclaren-C128 11.6 Inch 4GB/128GB Laptop", "price": 3799, "product_id": "PLID98261808", "rating_value": 4.1, "regular_price": 3999, "review_count": 228, "scraped_at": "2026-08-19T17:11:05.270Z", "seller_name": "360 Direct", "seller_url": "https://www.takealot.com/seller/360-direct?sellers=29847777", "sku": "222692638", "url": "https://www.takealot.com/packard-bell-mclaren-c128-11-6-inch-4gb-128gb-laptop/PLID98261808", "variants": [] } ``` ### Use Cases - Monitor marketplace prices and availability - Compare seller offers and product specifications - Build South African ecommerce research datasets ### Integrate with AI and automation #### Use with AI through MCP Connect your AI assistant to the [Apify MCP server](https://docs.apify.com/integrations/mcp). It can discover and run Actors, then access the results in the same conversation. For example, ask your assistant to scrape a list of products from Takealot, compare prices, or summarize the collected data. #### Run on a schedule After one successful run, use [Apify Schedules](https://docs.apify.com/actors/running/schedules) to repeat the same task hourly, daily, weekly, or with a custom cron schedule. Saved tasks are useful when you want to keep the same URLs and settings for every run. #### Connect with n8n [Create an n8n account](https://n8n.partnerlinks.io/ezvl1qy3f990) and add the verified Apify node to a workflow. Choose **Run an Actor and Get Dataset** when the workflow should start this Actor, wait for completion, and receive the product rows for the next node. See the [Apify integration for n8n](https://n8n.io/integrations/apify/). #### Connect with Make [Create a Make account](https://www.make.com/en/register?pc=vasarmilan) and add the Apify **Run an Actor** module. Follow it with **Get Dataset Items** to pass the product rows to Google Sheets, a database, email, or another Make module. For longer runs, use **Watch Actor Runs** followed by **Get Dataset Items**. [Read the Make integration guide](https://docs.apify.com/integrations/make). # Actor input Schema ## `productUrls` (type: `array`): Product URLs on Takealot. ## `categoryUrls` (type: `array`): Category URLs on Takealot. ## `maxResultsPerScrape` (type: `integer`): Maximum number of product records to save. ## `usePagination` (type: `boolean`): Enqueue the bounded pagination lookahead exposed by this actor. ## `scrapeProductDetails` (type: `boolean`): Enabled returns Product detail records with the product-page fields listed in the README. Disabled returns Result records with the list-level fields. ## Actor input object example ```json { "productUrls": [ "https://www.takealot.com/packard-bell-laptop/PLID98261808" ], "categoryUrls": [ "https://www.takealot.com/computers/laptops-27404" ], "maxResultsPerScrape": 20, "usePagination": true, "scrapeProductDetails": true } ``` # Actor output Schema ## `dataset` (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 = { "productUrls": [ "https://www.takealot.com/packard-bell-laptop/PLID98261808" ], "categoryUrls": [ "https://www.takealot.com/computers/laptops-27404" ] }; // Run the Actor and wait for it to finish const run = await client.actor("123webdata/takealot-scraper").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 = { "productUrls": ["https://www.takealot.com/packard-bell-laptop/PLID98261808"], "categoryUrls": ["https://www.takealot.com/computers/laptops-27404"], } # Run the Actor and wait for it to finish run = client.actor("123webdata/takealot-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "productUrls": [ "https://www.takealot.com/packard-bell-laptop/PLID98261808" ], "categoryUrls": [ "https://www.takealot.com/computers/laptops-27404" ] }' | apify call 123webdata/takealot-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,123webdata/takealot-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/CIROdbCuYp3yAZgwa/builds/wARhTbjRHgoPC3Z87/openapi.json