# Package Intelligence for npm and PyPI (`agentictools/package-intelligence`) Actor Track npm and PyPI packages: download stats, versions, dependencies, license, and repository. For dependency monitoring and developer marketing. - **URL**: https://apify.com/agentictools/package-intelligence.md - **Developed by:** [Ken Agland](https://apify.com/agentictools) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.50 / 1,000 package returneds 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 ## Package Intelligence for npm and PyPI Track npm and PyPI packages: download stats, versions, dependencies, license, and repository. For dependency monitoring and developer marketing. ### What it does Looks up metadata and download stats for npm or PyPI packages, either from an explicit list of names or from an npm search, and returns one clean record per package: current version, license, homepage, repository, dependency count, last publish date, and downloads for the last day, week, and month. ### Example input Look up a fixed list of npm packages: ```json { "packages": ["react", "express"], "registry": "npm" } ```` Search npm for packages matching a term: ```json { "search": "http client", "registry": "npm", "maxItems": 20 } ``` Look up PyPI packages by name: ```json { "packages": ["requests", "numpy"], "registry": "pypi" } ``` ### Input | Field | Type | Description | |---|---|---| | `packages` | array of strings | Package names to look up. Takes priority over `search`. | | `search` | string | Full-text search term for npm. Used only when `packages` is empty. PyPI has no public search API, so this is ignored when `registry` is pypi. | | `registry` | string | `npm` or `pypi`. Default `npm`. | | `maxItems` | integer | How many packages to return in search mode. Default 25, max 250. | ### Output Each dataset item is one package: ```json { "name": "express", "registry": "npm", "description": "Fast, unopinionated, minimalist web framework", "version": "5.2.1", "license": "MIT", "homepage": "https://expressjs.com/", "repository": "https://github.com/expressjs/express", "downloadsLastDay": 13245678, "downloadsLastWeek": 92345678, "downloadsLastMonth": 453785456, "dependencyCount": 28, "lastPublished": "2025-12-01T20:49:43.268Z", "url": "https://www.npmjs.com/package/express" } ``` #### Run summary (OUTPUT) The run's default key-value store record `OUTPUT` holds an aggregate for the whole run: ```json { "registry": "npm", "mode": "packages", "requested": 2, "packagesReturned": 2, "mostDownloaded": "express", "generatedFrom": "https://registry.npmjs.org" } ``` ### How it works For npm, the Actor reads package metadata from the public npm registry (`registry.npmjs.org`), pulls download counts from the npm downloads API, and, in search mode, resolves names first through the npm search API. For PyPI, it reads metadata from `pypi.org` and download counts from `pypistats.org`. License is read from the package metadata, falling back to a `License ::` classifier for PyPI packages that only declare license via classifiers. A missing or rate-limited download source leaves the download fields null instead of failing the whole package. Requests use a descriptive User-Agent and retry on rate limits and server errors with backoff; unknown package names are skipped with a warning rather than stopping the run. ### Use cases - Dependency monitoring: track version bumps, license changes, and dependency count over time. - Developer marketing: size up adoption of a package or a competitor's package by download volume. - Due diligence: check license and repository before adding a dependency. - Discovery: search npm for packages in a given space and compare their traction. # Actor input Schema ## `packages` (type: `array`): npm or PyPI package names to look up (for example "react", "express", "requests"). If set, this takes priority over the search term. ## `search` (type: `string`): Full-text search term for the npm registry, used only when "Package names" is empty. PyPI has no public search API, so this is ignored when registry is pypi. ## `registry` (type: `string`): Which package registry to query. ## `maxItems` (type: `integer`): How many packages to return when using a search term. Ignored when "Package names" is set. ## Actor input object example ```json { "packages": [ "react", "express" ], "search": "http client", "registry": "npm", "maxItems": 25 } ``` # 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 = { "packages": [ "react", "express" ] }; // Run the Actor and wait for it to finish const run = await client.actor("agentictools/package-intelligence").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 = { "packages": [ "react", "express", ] } # Run the Actor and wait for it to finish run = client.actor("agentictools/package-intelligence").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 '{ "packages": [ "react", "express" ] }' | apify call agentictools/package-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentictools/package-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Package Intelligence for npm and PyPI", "description": "Track npm and PyPI packages: download stats, versions, dependencies, license, and repository. For dependency monitoring and developer marketing.", "version": "0.1", "x-build-id": "zGJTe7NfT7UCIRHIv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentictools~package-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentictools-package-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentictools~package-intelligence/runs": { "post": { "operationId": "runs-sync-agentictools-package-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentictools~package-intelligence/run-sync": { "post": { "operationId": "run-sync-agentictools-package-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "packages": { "title": "Package names", "type": "array", "description": "npm or PyPI package names to look up (for example \"react\", \"express\", \"requests\"). If set, this takes priority over the search term.", "items": { "type": "string" } }, "search": { "title": "Search term (npm only)", "type": "string", "description": "Full-text search term for the npm registry, used only when \"Package names\" is empty. PyPI has no public search API, so this is ignored when registry is pypi." }, "registry": { "title": "Registry", "enum": [ "npm", "pypi" ], "type": "string", "description": "Which package registry to query.", "default": "npm" }, "maxItems": { "title": "Max results (search mode)", "minimum": 1, "maximum": 250, "type": "integer", "description": "How many packages to return when using a search term. Ignored when \"Package names\" is set.", "default": 25 } } }, "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 } } } } } } } } } } ```