# npm Package Trend Scraper (`techionik9993/npm-package-trend-monitor`) Actor Scrape npm package metadata, downloads, repository links, versions, maintainers, and adoption signals for developer ecosystem research. - **URL**: https://apify.com/techionik9993/npm-package-trend-monitor.md - **Developed by:** [Techionik](https://apify.com/techionik9993) (community) - **Categories:** News, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 1,000 npm package rows This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## npm Package Trend Monitor Find npm packages for JavaScript market research, dependency discovery, competitor tracking, package monitoring, and trend intelligence. This Actor uses the public npm registry search API. It is fast, low-cost, and does not need a proxy by default. ### What It Returns - Package name, description, version, and npm URL - Repository, homepage, and bug tracker URLs - Keywords, publisher, maintainers, and publish date - npm search scores for quality, popularity, and maintenance - Source query and matched query terms - Optional weekly download counts - Monitoring mode for newly discovered packages ### Common Uses - Discover packages in a market/category - Track new competitors and alternatives - Research SDK ecosystems - Monitor dependency trends - Find package maintainers and project URLs - Build lead lists around JavaScript tooling ### Input Tips Use focused package/category terms: - `openai sdk` - `shopify app` - `stripe webhook` - `react table` - `postgres orm` - `analytics sdk` Use `maxResultsPerQuery` when you provide several queries and want balanced output. ### Weekly Downloads Enable `includeWeeklyDownloads` when you need market-sizing signals. This adds one extra npm downloads API request per package, so it is slower than the default search-only mode. ### Result Limits `maxResults` is a maximum cap, not a guarantee. The Actor only writes packages that pass your relevance and quality filters. The minimum `maxResults` is 50 so runs are commercially practical and users are charged for meaningful output. ### Monitoring Enable `monitorChanges` to compare the current run against the previous snapshot in the Actor key-value store. When `onlyChanges` is enabled, the dataset contains only newly detected packages. When it is disabled, the dataset contains the current full result set while the change snapshot is still stored for automation. ### Proxy Use No proxy is needed by default. This Actor uses public npm APIs and does not run a browser. ### Output Each dataset row represents one npm package. The primary output event is one dataset row. ### Notes This Actor is not affiliated with npm, npm Inc., or GitHub. It reads public npm registry API results and stores structured rows in your Apify dataset. # Actor input Schema ## `searchQueries` (type: `array`): npm package search terms. Use categories, competitors, frameworks, SDKs, or problem keywords. ## `maxResults` (type: `integer`): Maximum package rows to write for the whole run. The minimum is 50 for better marketplace economics. ## `maxResultsPerQuery` (type: `integer`): Optional cap per query so one broad keyword does not fill the entire run. Use 0 for no query cap. ## `pagesPerQuery` (type: `integer`): How many npm search pages to scan per query. Each page requests up to 250 packages. ## `minimumQualityScore` (type: `integer`): Minimum npm search quality score from 0 to 100. Use 0 to keep all matches. ## `includeWeeklyDownloads` (type: `boolean`): Add weekly download counts for each package. This is slower but useful for market sizing. ## `minimumRelevanceScore` (type: `integer`): Minimum number of meaningful query terms that must appear in package name, description, keywords, or publisher. ## `monitorChanges` (type: `boolean`): Compare against the previous saved snapshot and detect newly found packages. ## `onlyChanges` (type: `boolean`): When monitoring is enabled, write only newly detected packages to the dataset. ## Actor input object example ```json { "searchQueries": [ "react table", "postgres orm", "analytics sdk" ], "maxResults": 100, "maxResultsPerQuery": 0, "pagesPerQuery": 2, "minimumQualityScore": 0, "includeWeeklyDownloads": false, "minimumRelevanceScore": 1, "monitorChanges": false, "onlyChanges": false } ```` # Actor output Schema ## `results` (type: `string`): Normal runs contain npm package rows. When output-only-changes is enabled, rows contain newly detected packages. # 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 = { "searchQueries": [ "openai sdk", "shopify app", "stripe webhook" ] }; // Run the Actor and wait for it to finish const run = await client.actor("techionik9993/npm-package-trend-monitor").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 = { "searchQueries": [ "openai sdk", "shopify app", "stripe webhook", ] } # Run the Actor and wait for it to finish run = client.actor("techionik9993/npm-package-trend-monitor").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 '{ "searchQueries": [ "openai sdk", "shopify app", "stripe webhook" ] }' | apify call techionik9993/npm-package-trend-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techionik9993/npm-package-trend-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "npm Package Trend Scraper", "description": "Scrape npm package metadata, downloads, repository links, versions, maintainers, and adoption signals for developer ecosystem research.", "version": "0.0", "x-build-id": "KKOTtaA1WBCDXsscE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techionik9993~npm-package-trend-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techionik9993-npm-package-trend-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/techionik9993~npm-package-trend-monitor/runs": { "post": { "operationId": "runs-sync-techionik9993-npm-package-trend-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/techionik9993~npm-package-trend-monitor/run-sync": { "post": { "operationId": "run-sync-techionik9993-npm-package-trend-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "npm package search terms. Use categories, competitors, frameworks, SDKs, or problem keywords.", "default": [ "openai sdk", "shopify app", "stripe webhook" ], "items": { "type": "string" } }, "maxResults": { "title": "Max results", "minimum": 50, "maximum": 2000, "type": "integer", "description": "Maximum package rows to write for the whole run. The minimum is 50 for better marketplace economics.", "default": 100 }, "maxResultsPerQuery": { "title": "Max results per query", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Optional cap per query so one broad keyword does not fill the entire run. Use 0 for no query cap.", "default": 0 }, "pagesPerQuery": { "title": "Pages per query", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many npm search pages to scan per query. Each page requests up to 250 packages.", "default": 2 }, "minimumQualityScore": { "title": "Minimum npm quality score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Minimum npm search quality score from 0 to 100. Use 0 to keep all matches.", "default": 0 }, "includeWeeklyDownloads": { "title": "Include weekly downloads", "type": "boolean", "description": "Add weekly download counts for each package. This is slower but useful for market sizing.", "default": false }, "minimumRelevanceScore": { "title": "Minimum relevance score", "minimum": 0, "maximum": 10, "type": "integer", "description": "Minimum number of meaningful query terms that must appear in package name, description, keywords, or publisher.", "default": 1 }, "monitorChanges": { "title": "Monitor changes since last run", "type": "boolean", "description": "Compare against the previous saved snapshot and detect newly found packages.", "default": false }, "onlyChanges": { "title": "Output only new packages", "type": "boolean", "description": "When monitoring is enabled, write only newly detected packages to the dataset.", "default": false } } }, "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 } } } } } } } } } } ```