# Apilayer Products Spider (`getdataforme/apilayer-products-spider`) Actor The Apilayer Products Spider is a robust web scraper that extracts detailed product data from Apilayer's pages, including titles, descriptions, categories, and metadata.... - **URL**: https://apify.com/getdataforme/apilayer-products-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, NaN 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 ### Description The Apilayer Products Spider is a robust web scraper that extracts detailed product data from Apilayer's pages, including titles, descriptions, categories, and metadata.... --- ## Apilayer Products Spider ### Introduction The Apilayer Products Spider is a powerful web scraping tool designed to extract detailed product information from Apilayer's product pages. It automates the collection of data such as product titles, descriptions, categories, and metadata, enabling users to gather insights efficiently without manual effort. This actor is ideal for developers, researchers, and businesses needing reliable, structured data from Apilayer's offerings. ### Features - **Comprehensive Data Extraction**: Scrapes key details including titles, descriptions, categories, tags, and links from Apilayer product listings. - **Flexible URL Input**: Supports multiple URLs for batch processing, allowing targeted or broad data collection. - **High Reliability**: Built on Apify's robust infrastructure for consistent performance and error resilience. - **Structured JSON Output**: Delivers clean, machine-readable data perfect for integration into applications or databases. - **Fast and Scalable**: Handles large volumes of data quickly, with options for parallel processing. - **Customizable**: Easily configurable input parameters to tailor scraping to specific needs. - **No Coding Required**: User-friendly interface in the Apify Store for non-technical users. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | No | A list of URLs to scrape for product data. Each URL must be a valid HTTP or HTTPS link. Defaults to the main Apilayer products page. | ["https://apilayer.com/products/", "https://apilayer.com/products/finance/"] | ### Example Usage To run the actor, provide input in JSON format like this: ```json { "Urls": [ "https://apilayer.com/products/" ] } ```` The actor will output a JSON array of product objects, such as: ```json [ { "tag": "FINANCE", "title": "Coinlayer", "category": "FINANCE", "description": "Real-time Crypto Currency Exchange Rates JSON Rest API", "link": "https://coinlayer.com", "metaTags": [ "crypto rates api", "bitcoin api", "convert crypto api", "crypto exchange rates", "crypto currency api" ], "actor_id": "YZnvqo2Dy7Y1NUEfP", "run_id": "mCQANinFPprVTTrDZ" }, { "tag": "FINANCE", "title": "Exchangerate.host", "category": "FINANCE", "description": "Real-time current and historical foreign exchange & crypto rates data solution.", "link": "https://exchangerate.host/", "metaTags": [ "Foreign exchange rates", "currency conversion", "API", "Fixer API", "current rates", "historical rates", "European Central Bank" ], "actor_id": "YZnvqo2Dy7Y1NUEfP", "run_id": "mCQANinFPprVTTrDZ" }, { "tag": "FINANCE", "title": "Currencylayer", "category": "FINANCE", "description": "Reliable Exchange Rates & Currency Conversion for your Business", "link": "https://currencylayer.com", "metaTags": [ "foreign exchange rates", "currency conversion", "currencylayer API", "free API", "reliable API", "real-time exchange rates", "historical exchange rates", "168 currencies" ], "actor_id": "YZnvqo2Dy7Y1NUEfP", "run_id": "mCQANinFPprVTTrDZ" } ] ``` ### Use Cases - **Market Research**: Analyze trends in API products and services offered by Apilayer. - **Competitive Intelligence**: Gather data on competitors' offerings for strategic planning. - **Price Monitoring**: Track pricing and features of financial APIs for comparison. - **Content Aggregation**: Build databases of API descriptions for content marketing. - **Academic Research**: Collect metadata for studies on API ecosystems. - **Business Automation**: Integrate scraped data into dashboards for automated reporting. ### Installation and Usage 1. Search for "Apilayer Products Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 of objects, each representing a scraped product. Key fields include: - `tag`: A category tag (e.g., "FINANCE"). - `title`: The product name. - `category`: The main category. - `description`: A brief overview. - `link`: URL to the product page. - `metaTags`: An array of relevant keywords. - `actor_id` and `run_id`: Identifiers for the Apify run. This structure ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://apilayer.com/products/" ] } ``` # 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/apilayer-products-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/apilayer-products-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/apilayer-products-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/apilayer-products-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apilayer Products Spider", "description": "The Apilayer Products Spider is a robust web scraper that extracts detailed product data from Apilayer's pages, including titles, descriptions, categories, and metadata....", "version": "0.0", "x-build-id": "bfbJjs3OYBwb6sNQQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~apilayer-products-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-apilayer-products-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~apilayer-products-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-apilayer-products-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~apilayer-products-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-apilayer-products-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://apilayer.com/products/" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```