# Kie Pricing Info Parser Spider (`getdataforme/kie-pricing-info-parser-spider`) Actor Automate AI pricing data extraction from Kie.ai with customizable parameters, high-quality output, and scalable performance. Ideal for market research, competitive intelligence, price monitoring, content aggregation, academic research, and business automation.... - **URL**: https://apify.com/getdataforme/kie-pricing-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 Pricing Info Parser Spider ### Introduction The **Kie Pricing Info Parser Spider** is a powerful tool designed to extract and parse pricing information from the Kie.ai platform. This Apify Actor automates data collection, providing detailed insights into model descriptions, interface types, and pricing structures. It's an essential asset for businesses and researchers looking to analyze AI service offerings efficiently. ### Features - **Automated Data Extraction**: Seamlessly scrape pricing details with minimal setup. - **Customizable Parameters**: Tailor the spider to your specific data needs using adjustable input settings. - **High-Quality Output**: Receive structured, reliable data ready for analysis or integration. - **Scalable Performance**: Efficiently handle large volumes of data with configurable limits. - **User-Friendly Interface**: Easy configuration and execution through the Apify Store. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | ModelDescription| string | No | The model description for the spider. | "Image-to-video" | | InterfaceType | string | No | The interface type for the spider. | "video" | | PageSize | integer | No | The page size for the spider, with a minimum of 1. | 25 | | item_limit | integer | No | Maximum items to scrape per run; set to 0 for no limit. | 10 | ### Example Usage #### Input JSON ```json { "ModelDescription": "Image-to-video", "InterfaceType": "video", "PageSize": 25, "item_limit": 10 } ```` #### Output JSON ```json [ { "model_modality_name": "grok-imagine-video-1-5-preview, image-to-video, Input Image", "interface_type": "video", "provider": "Grok", "credits_per_gen": "2", "credit_unit": "per image", "price_usd": "0.01", "fal_price_usd": "", "discount_rate_pct": 0, "is_discount_price": false, "anchor": "https://kie.ai/grok-imagine-video-1.5", "actor_id": "2A66hv7ffGvligpHD", "run_id": "YPj2yG0QIu2bRNydJ" }, { "model_modality_name": "grok-imagine-video-1-5-preview, image-to-video, 720p", "interface_type": "video", "provider": "Grok", "credits_per_gen": "25", "credit_unit": "per second", "price_usd": "0.125", "fal_price_usd": "0.14", "discount_rate_pct": 10.71, "is_discount_price": false, "anchor": "https://kie.ai/grok-imagine-video-1.5", "actor_id": "2A66hv7ffGvligpHD", "run_id": "YPj2yG0QIu2bRNydJ" }, { "model_modality_name": "grok-imagine-video-1-5-preview, image-to-video, 480p", "interface_type": "video", "provider": "Grok", "credits_per_gen": "14.5", "credit_unit": "per second", "price_usd": "0.0725", "fal_price_usd": "0.08", "discount_rate_pct": 9.38, "is_discount_price": false, "anchor": "https://kie.ai/grok-imagine-video-1.5", "actor_id": "2A66hv7ffGvligpHD", "run_id": "YPj2yG0QIu2bRNydJ" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into competitive pricing strategies. - **Competitive Intelligence**: Monitor competitor offerings and adjust your strategy accordingly. - **Price Monitoring**: Track changes in AI service prices over time for budgeting purposes. - **Content Aggregation**: Collect comprehensive data on AI models for content creation. - **Academic Research**: Use structured data for research projects analyzing AI trends. - **Business Automation**: Integrate pricing data into business workflows to enhance decision-making. ### Installation and Usage 1. Search for "Kie Pricing 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 the following fields: - `model_modality_name`: Name of the model modality. - `interface_type`: Type of interface used by the model. - `provider`: The service provider's name. - `credits_per_gen`: Number of credits required per generation. - `credit_unit`: Unit for credit measurement (e.g., per image, per second). - `price_usd`: Price in USD. - `fal_price_usd`: Final agreed-upon price in USD. - `discount_rate_pct`: Discount rate percentage. - `is_discount_price`: Boolean indicating if the discount price is applied. - `anchor`: URL anchor for more information. - `actor_id`: Unique identifier for the actor run. - `run_id`: Unique identifier for the specific run. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `ModelDescription` (type: `string`): The model description for the spider. ## `InterfaceType` (type: `string`): The interface type for the spider. ## `PageSize` (type: `integer`): The page size 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 { "ModelDescription": "", "InterfaceType": "", "PageSize": 25, "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-pricing-info-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/kie-pricing-info-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/kie-pricing-info-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/kie-pricing-info-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kie Pricing Info Parser Spider", "description": "Automate AI pricing data extraction from Kie.ai with customizable parameters, high-quality output, and scalable performance. Ideal for market research, competitive intelligence, price monitoring, content aggregation, academic research, and business automation....", "version": "0.0", "x-build-id": "sVmCGLzigPdBqcFSI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~kie-pricing-info-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-kie-pricing-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~kie-pricing-info-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-kie-pricing-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~kie-pricing-info-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-kie-pricing-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ModelDescription": { "title": "Model Description", "type": "string", "description": "The model description for the spider.", "default": "" }, "InterfaceType": { "title": "Interface Type", "type": "string", "description": "The interface type for the spider.", "default": "" }, "PageSize": { "title": "Page Size", "minimum": 1, "type": "integer", "description": "The page size for the spider.", "default": 25 }, "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 } } } } } } } } } } ```