# Yiddish24 Media Spider (`getdataforme/yiddish24-media-spider`) Actor Effortlessly scrape Yiddish-language audio and video content from Yiddish24.com with this Apify Actor. Extract detailed metadata, URLs, and more for research, archiving, or aggregation. Features flexible inputs, reliable JSON output, and efficient, error-resilient performance. - **URL**: https://apify.com/getdataforme/yiddish24-media-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 Effortlessly scrape Yiddish-language audio and video content from Yiddish24.com with this Apify Actor. Extract detailed metadata, URLs, and more for research, archiving, or aggregation. Features flexible inputs, reliable JSON output, and efficient, error-resilient performance. --- ## Yiddish24 Media Spider ### Introduction The Yiddish24 Media Spider is a powerful Apify Actor designed to scrape and extract media content from Yiddish24.com, a platform offering Yiddish-language audio and video clips. It efficiently collects detailed metadata, including titles, descriptions, audio/video URLs, and more, enabling users to gather rich multimedia data for analysis or archiving. This tool is ideal for researchers, journalists, and content aggregators seeking to access and preserve Yiddish media resources programmatically. ### Features - **Comprehensive Data Extraction**: Captures key details such as titles, dates, descriptions, audio/video URLs, images, and categories from Yiddish24 media pages. - **Flexible URL Input**: Supports multiple starting URLs, allowing targeted scraping of specific search results or categories. - **High-Quality Output**: Provides structured JSON data with reliable links to media files, ensuring easy integration into downstream workflows. - **Efficient Performance**: Built on Apify's scalable infrastructure for fast, reliable scraping without manual intervention. - **Error-Resilient**: Handles common web scraping challenges like dynamic content and rate limits gracefully. - **Customizable and Extensible**: Easily configurable for various use cases, with options for future enhancements. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-----------------------------------------------------------------------------|---------| | Urls | array | Yes | An array of URLs to start scraping from. Each URL should be a valid HTTP/HTTPS link pointing to a Yiddish24 search result or media page. At least one URL is required. | ["https://www.yiddish24.com/searchresult/trump"] | ### Example Usage To run the Yiddish24 Media Spider, provide the input parameters in JSON format. Here's an example: ```json { "Urls": [ "https://www.yiddish24.com/searchresult/trump" ] } ```` This will scrape media related to "trump" from Yiddish24. The output will be a JSON array of media objects, such as: ```json [ { "id": "145885", "title": "On Edge | Gershy Schwarcz", "date": "ג' שמות פ״ה", "description": "Neither your honey nor your sting! Trump is slashing the vaccine schedule from 17 to 11.\"", "audio_url": "https://cloudfront.yiddish24.com/20260106_103745_285_1767719265590_536_0_2_274895225.mp3", "image": "https://cloudfront.yiddish24.com/251111020608-457315251_1762887968.png", "category_title": "JUQ3JTkwJUQ3JTlGKyVENyVBMiVENyU5MyVENyU5NiVENyVBOSslRDclQTAlRDclOTklRDclOTklRDclQTIlRDclQTErLSslRDclQTIlRDclQTAlRDclOTIlRDclOUMlRDclOTklRDclQTk=", "category_color": "purple", "duration": "17:04", "video_image": "https://cdn.yiddish24.com/260106120828-902310930_1767719308.jpg", "video_url": "https://cdn.yiddish24.com/260106120828-902310930_1767719308.mp4", "actor_id": "RTQ4gFt2X8URdYWQW", "run_id": "6GmfPECRfjRdvwYCc" } ] ``` ### Use Cases - **Market Research**: Analyze trends in Yiddish media topics, such as political discussions or cultural events. - **Competitive Intelligence**: Monitor content from specific categories or creators on Yiddish24 for insights. - **Content Aggregation**: Build archives of Yiddish audio and video for educational or entertainment platforms. - **Academic Research**: Collect data for studies on Yiddish language, culture, or media consumption. - **Business Automation**: Automate the extraction of media for newsletters, podcasts, or social media sharing. - **Archiving and Preservation**: Preserve historical Yiddish media content for long-term access. ### Installation and Usage 1. Search for "Yiddish24 Media Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., provide URLs). 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 media item. Key fields include: - `id`: Unique identifier for the media item. - `title`: The title of the media clip. - `date`: Publication date in Hebrew format. - `description`: A brief summary or transcript snippet. - `audio_url`: Direct link to the audio file. - `video_url`: Direct link to the video file. - `image`: Thumbnail image URL. - `duration`: Length of the media in MM:SS format. - `category_title` and `category_color`: Encoded category information. - `actor_id` and `run_id`: Metadata from the scraping run. This structured format ensures easy parsing and integration with tools like databases or analytics platforms. ### 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://www.yiddish24.com/searchresult/trump" ] } ``` # 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/yiddish24-media-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/yiddish24-media-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/yiddish24-media-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/yiddish24-media-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yiddish24 Media Spider", "description": "Effortlessly scrape Yiddish-language audio and video content from Yiddish24.com with this Apify Actor. Extract detailed metadata, URLs, and more for research, archiving, or aggregation. Features flexible inputs, reliable JSON output, and efficient, error-resilient performance.", "version": "0.0", "x-build-id": "rh4gV3EK6fdoITmht" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~yiddish24-media-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-yiddish24-media-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~yiddish24-media-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-yiddish24-media-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~yiddish24-media-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-yiddish24-media-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://www.yiddish24.com/searchresult/trump" ], "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 } } } } } } } } } } ```