# Kie Ai Model Info Parser Spider (`getdataforme/kie-ai-model-info-parser-spider`) Actor The Kie Ai Model Info Parser Spider is a web scraping tool for extracting detailed AI model data from Kie.ai, including features, pricing, and API documentation. It offers comprehensive data extraction, flexible URL configuration, customizable item limits, and delivers structured JSON output.... - **URL**: https://apify.com/getdataforme/kie-ai-model-info-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, 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 --- ## Kie Ai Model Info Parser Spider ### Introduction The **Kie Ai Model Info Parser Spider** is a powerful web scraping tool designed to extract detailed information about AI models from the Kie.ai platform. It efficiently gathers data on various video generation APIs, providing insights into features, pricing, and usage details. ### Features - **Comprehensive Data Extraction**: Captures extensive model information including descriptions, tags, API documentation links, and pricing. - **Flexible URL Configuration**: Allows users to specify multiple URLs for targeted scraping. - **Customizable Item Limits**: Users can set a maximum number of items to scrape per run, optimizing performance. - **High-Quality Output**: Delivers structured JSON output with detailed group data for easy analysis. - **User-Friendly Setup**: Simple configuration and execution process on the Apify platform. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | Url | array | Yes | The URL(s) for the spider to scrape. Must be a valid HTTP/HTTPS link. | `["https://kie.ai/wan-2-7-video"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Url": [ "https://kie.ai/wan-2-7-video" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "title": "Wan 2.7 Video API ā€“ T2V, I2V, R2V & Video Edit | Kie.ai", "description": "Access Wan 2.7 Video API on Kie.ai. Generate AI videos from text, images, or references with T2V, I2V, R2V, and VideoEdit modes. 720Pā€“1080P output, flexible duration, one unified API.", "tagline": "Wan 2.7 Video API is Alibaba Tongyi Lab's AI video suite, covering four generation modes ā€“ Text-to-Video, Image-to-Video, Reference-to-Video, and Video Edit. It supports full-modality input (text, image, video, audio) and outputs 720Pā€“1080P video. Access all four modes through a single API on Kie.ai.", "groupData": [ { "userPath": "wan", "path": "2-7-text-to-video", "channel": "fal_request", "apiDocumentUrl": "https://docs.kie.ai/market/wan/2-7-text-to-video", "pricingDesc": "Pricing: 16 credits per second for 720p (~$0.08) and 24 credits per second for 1080p (~$0.12). High-tier top-ups (+10% bonus) bring effective pricing down to ~$0.072 per second for 720p and ~$0.108 per second for 1080p.", "model": "wan/2-7-text-to-video", "urls": [ "https://static.aiquickdraw.com/tools/example/1775568062605_MPXfAL3r.mp4" ] }, { "userPath": "wan", "path": "2-7-image-to-video", "channel": "fal_request", "apiDocumentUrl": "https://docs.kie.ai/market/wan/2-7-image-to-video", "pricingDesc": "Pricing: 16 credits per second for 720p (~$0.08) and 24 credits per second for 1080p (~$0.12). High-tier top-ups (+10% bonus) bring effective pricing down to ~$0.072 per second for 720p and ~$0.108 per second for 1080p.", "model": "wan/2-7-image-to-video", "urls": [ "https://static.aiquickdraw.com/tools/example/1775568830969_fuvjlzzL.mp4" ] }, { "userPath": "wan", "path": "2-7-r2v", "channel": "fal_request", "apiDocumentUrl": "https://docs.kie.ai/market/wan/2-7-r2v", "pricingDesc": "Pricing: 16 credits per second for 720p (~$0.08) and 24 credits per second for 1080p (~$0.12). High-tier top-ups (+10% bonus) bring effective pricing down to ~$0.072 per second for 720p and ~$0.108 per second for 1080p.", "model": "wan/2-7-r2v", "urls": [ "https://static.aiquickdraw.com/tools/example/1775571133705_Syux4gRV.mp4" ] }, { "userPath": "wan", "path": "2-7-videoedit", "channel": "fal_request", "apiDocumentUrl": "https://docs.kie.ai/market/wan/2-7-videoedit", "pricingDesc": "Pricing: 16 credits per second for 720p (~$0.08) and 24 credits per second for 1080p (~$0.12). High-tier top-ups (+10% bonus) bring effective pricing down to ~$0.072 per second for 720p and ~$0.108 per second for 1080p.", "model": "wan/2-7-videoedit", "urls": [ "https://static.aiquickdraw.com/tools/example/1775570281446_LQwTWxMW.mp4" ] } ], "link": "https://kie.ai/wan-2-7-video", "actor_id": "X7uwR7r5cYfIxU1nt", "run_id": "6sA8VmMan5SzpoyxV" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather competitive intelligence on AI video generation tools. - **Competitive Intelligence**: Monitor pricing and feature updates from competitors. - **Price Monitoring**: Track changes in API pricing for budgeting and cost analysis. - **Content Aggregation**: Compile comprehensive data on AI models for research or reporting. - **Academic Research**: Use detailed model information for studies in AI technology trends. - **Business Automation**: Automate the collection of AI tool data to streamline business processes. ### Installation and Usage 1. Search for "Kie Ai Model Info 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 detailed information about each AI model. Key fields include: - `title`: The title of the API or feature set. - `description`: A brief description of the API's capabilities. - `tagline`: Additional context or promotional text. - `groupData`: An array of objects detailing specific paths, channels, and URLs related to the API. - `link`: The URL where more information can be found. - `actor_id` and `run_id`: Unique identifiers for tracking purposes. ### 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 ## `Url` (type: `array`): The url for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Url": [ "https://kie.ai/wan-2-7-video" ], "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/kie-ai-model-info-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`šŸ’¾ 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); }); // šŸ“š Want to learn more šŸ“–? Go to ā†’ 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/kie-ai-model-info-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("šŸ’¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # šŸ“š Want to learn more šŸ“–? Go to ā†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/kie-ai-model-info-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/kie-ai-model-info-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kie Ai Model Info Parser Spider", "description": "The Kie Ai Model Info Parser Spider is a web scraping tool for extracting detailed AI model data from Kie.ai, including features, pricing, and API documentation. It offers comprehensive data extraction, flexible URL configuration, customizable item limits, and delivers structured JSON output....", "version": "0.0", "x-build-id": "MSnhlPObvDRBVajbb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~kie-ai-model-info-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-kie-ai-model-info-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~kie-ai-model-info-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-kie-ai-model-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~kie-ai-model-info-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-kie-ai-model-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Url": { "title": "Url", "minItems": 1, "type": "array", "description": "The url for the spider.", "default": [ "https://kie.ai/wan-2-7-video" ], "items": { "type": "string" } }, "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 } } } } } } } } } } ```