# PyPI Package Stats Scraper — Downloads, Versions, Dependencies (`seemuapps/pypi-package-stats-scraper`) Actor Get download counts, version history, dependencies, license, author, and classifiers for any Python package on PyPI. Bulk-process a list of packages in one run. - **URL**: https://apify.com/seemuapps/pypi-package-stats-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Developer tools, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 packages 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 ## PyPI Package Stats Scraper — Downloads, Versions, Dependencies Get download counts, version history, dependencies, license, author, and classifiers for any Python package on PyPI. Bulk-process a list of packages in one run. No login. ### What you get - Package name, latest version, summary, long description, license, homepage - Author, author email, maintainer, maintainer email, project URLs (docs, source, issues, funding) - Full dependency list from `requires_dist` plus total dependency count - Download counts for the last 24 hours, 7 days, and 30 days (all three returned per row) - Release count, first release date, last release date, yanked status - `requires_python`, classifiers (Python versions, OS, framework, topic), keywords - Direct export to JSON, CSV, Excel, or Google Sheets ### Use cases - Devtool marketing — track download trends for your Python package vs. competitors - Supply-chain audit — list every dependency, version constraint, and license across a set of packages - Investment / market research — measure popularity of an open-source Python project - Lead generation — pull author and maintainer info for outreach to package authors - Internal monitoring — flag yanked releases, deprecated packages, or sudden download drops ### How to use 1. Enter a list of **Package names** (e.g. `requests`, `numpy`, `pandas`, `django`, `fastapi`) 2. Pick a **Download window** — Last 24 hours, Last 7 days, or Last 30 days 3. Set **Concurrency** if you want to tune throughput (default 10) 4. Run the actor — one package per row in the **Dataset** tab Package names are normalized per PEP 503 (lowercased, with runs of `- _ .` collapsed to a single `-`), so `Flask-SQLAlchemy`, `flask_sqlalchemy`, and `flask.sqlalchemy` all resolve to the same package. Packages that don't exist or 404 are still returned as a row with the `error` field populated, so you never lose track of which inputs failed. ### Output format One package per dataset row — perfect for direct CSV, Excel, or Google Sheets export: ```json { "name": "requests", "pypiUrl": "https://pypi.org/project/requests/", "description": "Python HTTP for Humans.", "longDescription": "## Requests\n\nRequests is a simple, yet elegant, HTTP library…", "latestVersion": "2.32.3", "license": "Apache-2.0", "author": "Kenneth Reitz", "authorEmail": "me@kennethreitz.org", "maintainer": null, "maintainerEmail": null, "homepage": "https://requests.readthedocs.io", "projectUrls": { "Documentation": "https://requests.readthedocs.io", "Source": "https://github.com/psf/requests" }, "requiresPython": ">=3.8", "classifiers": [ "Development Status :: 5 - Production/Stable", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.12" ], "keywords": [], "requiresDist": [ "charset-normalizer<4,>=2", "idna<4,>=2.5", "urllib3<3,>=1.21.1", "certifi>=2017.4.17" ], "dependencyCount": 4, "yanked": false, "yankedReason": null, "releaseCount": 152, "firstReleaseAt": "2011-02-14T17:34:13Z", "lastReleaseAt": "2024-05-29T15:37:48Z", "downloadsLastDay": 18234567, "downloadsLastWeek": 127345678, "downloadsLastMonth": 587234567, "downloadPeriod": "last-month", "downloads": 587234567, "error": null } ```` ### Input options | Field | Type | Description | |-------|------|-------------| | Package names | array | List of PyPI package names — names are normalized per PEP 503 (required) | | Download window | enum | Last 24 hours, Last 7 days, Last 30 days — default Last 30 days | | Concurrency | integer | Parallel fetches — default 10, max 50 | # Actor input Schema ## `packages` (type: `array`): List of PyPI package names to fetch stats for. Names are normalized per PEP 503 (lowercased, with runs of - \_ . collapsed to a single -). One row per package in the dataset. ## `downloadPeriod` (type: `string`): Time window for the download count returned in each row. ## `concurrency` (type: `integer`): How many packages to fetch in parallel. PyPI tolerates fairly high concurrency; default 10 is safe. ## Actor input object example ```json { "packages": [ "requests", "numpy", "pandas", "django", "fastapi" ], "downloadPeriod": "last-month", "concurrency": 10 } ``` # Actor output Schema ## `results` (type: `string`): One row per package: name, latestVersion, description, license, homepage, projectUrls, requiresDist, downloads, firstReleaseAt, lastReleaseAt, classifiers, keywords, and more. # 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": [ "requests", "numpy", "pandas", "django", "fastapi" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/pypi-package-stats-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 = { "packages": [ "requests", "numpy", "pandas", "django", "fastapi", ] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/pypi-package-stats-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 '{ "packages": [ "requests", "numpy", "pandas", "django", "fastapi" ] }' | apify call seemuapps/pypi-package-stats-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/pypi-package-stats-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PyPI Package Stats Scraper — Downloads, Versions, Dependencies", "description": "Get download counts, version history, dependencies, license, author, and classifiers for any Python package on PyPI. Bulk-process a list of packages in one run.", "version": "1.0", "x-build-id": "PFlQzTZqlrxvQuT6y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~pypi-package-stats-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-pypi-package-stats-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~pypi-package-stats-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-pypi-package-stats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~pypi-package-stats-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-pypi-package-stats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "packages" ], "properties": { "packages": { "title": "Package names", "type": "array", "description": "List of PyPI package names to fetch stats for. Names are normalized per PEP 503 (lowercased, with runs of - _ . collapsed to a single -). One row per package in the dataset.", "items": { "type": "string" } }, "downloadPeriod": { "title": "Download window", "enum": [ "last-day", "last-week", "last-month" ], "type": "string", "description": "Time window for the download count returned in each row.", "default": "last-month" }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many packages to fetch in parallel. PyPI tolerates fairly high concurrency; default 10 is safe.", "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 } } } } } } } } } } ```