# Myfavouritevouchercodes Parser Spider (`getdataforme/myfavouritevouchercodes-parser-spider`) Actor Efficiently scrape and extract voucher codes from Myfavouritevouchercodes, providing structured JSON output for easy integration. Features include customizable item limits, high-quality data extraction, user-friendly configuration, and scalable performance for large data volumes.... - **URL**: https://apify.com/getdataforme/myfavouritevouchercodes-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 --- ## Myfavouritevouchercodes Parser Spider ### Introduction The Myfavouritevouchercodes Parser Spider is designed to efficiently scrape and extract voucher codes from the Myfavouritevouchercodes website. This tool allows users to gather valuable promotional data, enabling businesses and individuals to leverage discounts and offers effectively. ### Features - **Comprehensive Data Extraction**: Scrapes detailed information about vouchers and offers. - **Customizable Item Limits**: Allows setting a maximum number of items to scrape per run. - **High-Quality Data Output**: Provides structured JSON output for easy integration. - **User-Friendly Configuration**: Simple setup with clear input parameters. - **Scalable Performance**: Efficiently handles large volumes of data. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|---------| | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "item_limit": 5 } ```` #### Output JSON ```json [ { "voucher_id": "voucher-936096", "nid": "936096", "title": "10% OFF Dog Friendly Bookings at Away Resorts", "url": "https://www.myfavouritevouchercodes.co.uk/away-resorts-voucher-codes#voucher-936096", "out_link": "https://www.myfavouritevouchercodes.co.uk/out/away-resorts/936096", "type": "voucher", "code": "DOGFRIENDLY10", "added": "31 Dec 2026", "clicks": "200", "expired": false, "description": "", "actor_id": "lhdDaJQ0zmHKuDgYG", "run_id": "NsPgFhd7M60SHBPXv" }, { "voucher_id": "voucher-936080", "nid": "936080", "title": "Get up to 20% off bookings at Away Resorts", "url": "https://www.myfavouritevouchercodes.co.uk/away-resorts-voucher-codes#voucher-936080", "out_link": "https://www.myfavouritevouchercodes.co.uk/out/away-resorts/936080", "type": "voucher", "code": "AWRAF7", "added": "31 Dec 2026", "clicks": "312", "expired": false, "description": "", "actor_id": "lhdDaJQ0zmHKuDgYG", "run_id": "NsPgFhd7M60SHBPXv" }, { "voucher_id": "voucher-960530", "nid": "960530", "title": "SEN-friendly Holidays at Away Resorts", "url": "https://www.myfavouritevouchercodes.co.uk/away-resorts-voucher-codes#voucher-960530", "out_link": "https://www.myfavouritevouchercodes.co.uk/out/away-resorts/960530", "type": "offer", "code": "", "added": "101", "clicks": "101", "expired": false, "description": "", "actor_id": "lhdDaJQ0zmHKuDgYG", "run_id": "NsPgFhd7M60SHBPXv" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on current voucher trends. - **Competitive Intelligence**: Monitor competitor offers and promotions. - **Price Monitoring**: Track changes in promotional pricing strategies. - **Content Aggregation**: Compile a database of available vouchers for marketing purposes. - **Academic Research**: Analyze consumer behavior related to discounts. - **Business Automation**: Integrate with CRM systems for automated discount management. ### Installation and Usage 1. Search for "Myfavouritevouchercodes Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array containing objects with the following fields: - `voucher_id`: Unique identifier for the voucher. - `nid`: Numeric ID of the voucher. - `title`: Title of the voucher or offer. - `url`: URL to the voucher on Myfavouritevouchercodes. - `out_link`: Direct link to use the voucher. - `type`: Type of promotion (e.g., voucher, offer). - `code`: Voucher code if applicable. - `added`: Date when the voucher was added. - `clicks`: Number of times the voucher has been clicked. - `expired`: Boolean indicating if the voucher is expired. - `description`: Additional details about the voucher. - `actor_id`: Identifier for the actor instance. - `run_id`: Identifier for the run. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/myfavouritevouchercodes-parser-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/myfavouritevouchercodes-parser-spider").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 '{}' | apify call getdataforme/myfavouritevouchercodes-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/myfavouritevouchercodes-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Myfavouritevouchercodes Parser Spider", "description": "Efficiently scrape and extract voucher codes from Myfavouritevouchercodes, providing structured JSON output for easy integration. Features include customizable item limits, high-quality data extraction, user-friendly configuration, and scalable performance for large data volumes....", "version": "0.0", "x-build-id": "OBg0LJcsbmXCeLUrc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~myfavouritevouchercodes-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-myfavouritevouchercodes-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~myfavouritevouchercodes-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-myfavouritevouchercodes-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~myfavouritevouchercodes-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-myfavouritevouchercodes-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```