# Content Trends Scraper — Viral Topics & Engagement (`du7chmaniac/content-trends-scraper`) Actor Discover trending content and monitor engagement across Hacker News, Dev.to, Google News, and Bluesky. Find what's going viral for any topic — articles, discussions, and social posts ranked by engagement. Budget BuzzSumo alternative. - **URL**: https://apify.com/du7chmaniac/content-trends-scraper.md - **Developed by:** [Joren Maurissen](https://apify.com/du7chmaniac) (community) - **Categories:** Marketing, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Content Monitoring Scraper Discover trending content and monitor engagement across multiple platforms. ### Features - **Multi-source aggregation** — Hacker News, Dev.to, Google News, and Bluesky in one run - **Topic search** — Find what's going viral for any keyword across platforms - **Trending mode** — Hot content across all sources, no keyword needed - **Domain monitoring** — Track content mentions for any domain - **Engagement scoring** — Each result gets an engagement score (points + comments + likes + reposts) - **Time filtering** — Only return content from the last N days - **Sorting** — By engagement score, date, or grouped by source ### Use Cases - **Content discovery** — Find trending articles in your niche before competitors - **Brand monitoring** — Track mentions of your brand/domain across platforms - **Trend research** — See what topics are getting engagement right now - **BuzzSumo alternative** — Content engagement data at a fraction of the cost ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `mode` | select | Yes | `topic` | `trending`, `topic`, or `domain` | | `searchQuery` | string | No | — | Keyword or domain to search for | | `sources` | multiSelect | No | all | `hackernews`, `devto`, `google_news`, `bluesky` | | `maxResults` | integer | No | 100 | Max total results (1-5000) | | `sortBy` | select | No | `engagement` | `engagement`, `date`, or `source` | | `timeRange` | integer | No | 7 | Days to look back (1-365) | | `minEngagement` | integer | No | 0 | Filter low-engagement content | | `proxyConfiguration` | proxy | No | off | Optional proxy (most sources don't need it) | ### Output Each result contains: | Field | Description | |-------|-------------| | `source` | Content source (hackernews, devto, google_news, bluesky) | | `title` | Article or post title | | `url` | URL to the content | | `author` | Author username or publication | | `text` | Summary or excerpt | | `publishedAt` | Publication timestamp | | `engagementScore` | Total engagement (points + comments + likes + reposts) | | `points` | Upvotes/points | | `comments` | Comment count | | `likes` | Like count (where available) | | `reposts` | Repost/share count (where available) | | `tags` | Tags associated with the content | | `domain` | Source domain | ### Sources - **Hacker News** — Algolia Search API (no auth, rich search, points + comments) - **Dev.to** — Open API (articles, reactions, comments, tags) - **Google News** — RSS feed (no auth, keyword search, publication tracking) - **Bluesky** — AT Protocol API (no auth, social posts, likes + reposts) No authentication required for any source. # Actor input Schema ## `mode` (type: `string`): trending: hot content across all sources. topic: search by keyword/topic. domain: find content from a specific domain. ## `searchQuery` (type: `string`): Keyword or topic to search for. Required for 'topic' and 'domain' modes. ## `sources` (type: `array`): Which content sources to query. Valid values: hackernews, devto, google_news, bluesky. Default: all. ## `maxResults` (type: `integer`): Maximum total results to return across all sources. ## `sortBy` (type: `string`): Sort results by engagement score (points + comments + likes), date, or grouped by source. ## `timeRange` (type: `integer`): Only return content from the last N days. Set to 365 for a full year. ## `minEngagement` (type: `integer`): Filter out content with total engagement below this threshold. Useful for finding only viral content. ## `proxyConfiguration` (type: `object`): Optional proxy. Most sources have open APIs that don't require proxies. ## Actor input object example ```json { "mode": "topic", "sources": [ "hackernews", "devto", "google_news", "bluesky" ], "maxResults": 100, "sortBy": "engagement", "timeRange": 7, "minEngagement": 0, "proxyConfiguration": { "useApifyProxy": false } } ```` # 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("du7chmaniac/content-trends-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 = {} # Run the Actor and wait for it to finish run = client.actor("du7chmaniac/content-trends-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 '{}' | apify call du7chmaniac/content-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=du7chmaniac/content-trends-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Content Trends Scraper — Viral Topics & Engagement", "description": "Discover trending content and monitor engagement across Hacker News, Dev.to, Google News, and Bluesky. Find what's going viral for any topic — articles, discussions, and social posts ranked by engagement. Budget BuzzSumo alternative.", "version": "0.1", "x-build-id": "5VtymyDGkzZnBccDO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/du7chmaniac~content-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-du7chmaniac-content-trends-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/du7chmaniac~content-trends-scraper/runs": { "post": { "operationId": "runs-sync-du7chmaniac-content-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/du7chmaniac~content-trends-scraper/run-sync": { "post": { "operationId": "run-sync-du7chmaniac-content-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "trending", "topic", "domain" ], "type": "string", "description": "trending: hot content across all sources. topic: search by keyword/topic. domain: find content from a specific domain.", "default": "topic" }, "searchQuery": { "title": "Search query / topic", "type": "string", "description": "Keyword or topic to search for. Required for 'topic' and 'domain' modes." }, "sources": { "title": "Sources", "type": "array", "description": "Which content sources to query. Valid values: hackernews, devto, google_news, bluesky. Default: all.", "default": [ "hackernews", "devto", "google_news", "bluesky" ], "items": { "type": "string" } }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum total results to return across all sources.", "default": 100 }, "sortBy": { "title": "Sort by", "enum": [ "engagement", "date", "source" ], "type": "string", "description": "Sort results by engagement score (points + comments + likes), date, or grouped by source.", "default": "engagement" }, "timeRange": { "title": "Time range (days)", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only return content from the last N days. Set to 365 for a full year.", "default": 7 }, "minEngagement": { "title": "Minimum engagement score", "minimum": 0, "type": "integer", "description": "Filter out content with total engagement below this threshold. Useful for finding only viral content.", "default": 0 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy. Most sources have open APIs that don't require proxies.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```