# NuGet .NET Packages Scraper (`geodetic_marigold/nuget-scraper`) Actor Extrai dados de nuget.org (NuGet .NET Packages Scraper) — Actor gerado pela Factory. - **URL**: https://apify.com/geodetic\_marigold/nuget-scraper.md - **Developed by:** [Antonio Fernando Rincon de Mendonça](https://apify.com/geodetic_marigold) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $300.00 / 1,000 item extracteds 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 ## NuGet .NET Packages Scraper > Busca pacotes .NET no **NuGet** por palavra-chave e devolve dados estruturados > — downloads totais, versão, tags, autores e licença — via o **serviço de busca > oficial (NuGet V3)**. Sem browser, sem API key. ### Por que usar Consome o serviço de busca oficial do NuGet (`azuresearch-usnc.nuget.org/query`), então o resultado é **estável, tipado e rápido**. Exporte em **JSON, CSV ou Excel** (ou puxe via **API** e **MCP**) para análise de ecossistema .NET, due diligence de dependências, market research de pacotes ou pipelines de IA. ### Casos de uso - Mapear os pacotes mais baixados de um tema (ex.: `json`, `logging`, `orm`) - Monitorar versões e popularidade de dependências - Descobrir projetos e licenças de um conjunto de pacotes - Alimentar agentes de IA com dados frescos do NuGet ### Como rodar 1. Preencha `searchQuery` (ex.: `newtonsoft`) e clique em **Start**. 2. Acompanhe o run — os pacotes aparecem no Dataset em tempo real. 3. Exporte em **JSON / CSV / Excel** ou consuma via **API** e **MCP**. 4. (Opcional) Agende execuções recorrentes no **Scheduler** da Apify. ### Input | Campo | Tipo | Obrigatório | Descrição | |---|---|---|---| | `searchQuery` | string | sim | O que procurar no NuGet. Ex.: `newtonsoft`, `serilog`, `logging`. | | `maxItems` | integer | — | Máximo de pacotes a coletar (1–5000). Padrão 100. | #### Exemplo de input ```json { "searchQuery": "newtonsoft", "maxItems": 20 } ```` ### Output Cada item no Dataset: ```json { "name": "Newtonsoft.Json", "title": "Json.NET", "description": "Json.NET is a popular high-performance JSON framework for .NET", "url": "https://www.nuget.org/packages/Newtonsoft.Json", "version": "13.0.4", "totalDownloads": 5000000000, "authors": ["James Newton-King"], "tags": ["json"], "licenseUrl": "https://licenses.nuget.org/MIT", "projectUrl": "https://www.newtonsoft.com/json", "verified": true, "searchQuery": "newtonsoft", "scrapedAt": "2026-06-28T00:00:00.000Z" } ``` ### Use com agentes de IA (MCP) Este Actor é **compatível com o [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp)** — agentes de IA (Claude, ChatGPT, Cursor) descobrem o Actor pelo nome `nuget-scraper`, leem o `input_schema` e chamam direto. O `dataset_schema` garante output tipado e estável. ### Preço — Pay Per Event | Evento | Preço | |---|---| | `package-scraped` | $0.005 por pacote retornado | Você paga **apenas pelo resultado**: runs que não acham nada custam **zero**. ### FAQ - **Preciso de API key ou login?** Não — o serviço de busca do NuGet é público. - **Em quais formatos exporto?** JSON, CSV, Excel, HTML table, ou via API/MCP. - **Dá para agendar?** Sim — use o Scheduler da Apify para coletas recorrentes. - **O formato do output muda entre execuções?** Não — o `dataset_schema` mantém os campos estáveis. ### Changelog - **0.1** — primeira versão: consumer do serviço de busca oficial do NuGet (V3). # Actor input Schema ## `searchQuery` (type: `string`): O que procurar no NuGet. Ex.: "newtonsoft", "serilog", "json", "logging". ## `maxItems` (type: `integer`): Limite superior de pacotes a coletar. Valores altos aumentam o tempo do run (a API entrega até 100 por página). ## Actor input object example ```json { "searchQuery": "newtonsoft", "maxItems": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "newtonsoft" }; // Run the Actor and wait for it to finish const run = await client.actor("geodetic_marigold/nuget-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "searchQuery": "newtonsoft" } # Run the Actor and wait for it to finish run = client.actor("geodetic_marigold/nuget-scraper").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 '{ "searchQuery": "newtonsoft" }' | apify call geodetic_marigold/nuget-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=geodetic_marigold/nuget-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NuGet .NET Packages Scraper", "description": "Extrai dados de nuget.org (NuGet .NET Packages Scraper) — Actor gerado pela Factory.", "version": "0.1", "x-build-id": "HxN6qNWccpjlAapAc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/geodetic_marigold~nuget-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-geodetic_marigold-nuget-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/geodetic_marigold~nuget-scraper/runs": { "post": { "operationId": "runs-sync-geodetic_marigold-nuget-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/geodetic_marigold~nuget-scraper/run-sync": { "post": { "operationId": "run-sync-geodetic_marigold-nuget-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Palavra-chave de busca", "minLength": 1, "maxLength": 200, "type": "string", "description": "O que procurar no NuGet. Ex.: \"newtonsoft\", \"serilog\", \"json\", \"logging\"." }, "maxItems": { "title": "Máximo de pacotes", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Limite superior de pacotes a coletar. Valores altos aumentam o tempo do run (a API entrega até 100 por página).", "default": 100 } } }, "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 } } } } } } } } } } ```