# Dev.to Scraper - Articles & Developer Content (`pear_fight/devto-scraper`) Actor Scrape Dev.to articles, author profiles, tags & comments. Extract titles, content, reactions, reading time, dates. Search by topic, tag, or author. Track developer trends. Pay per result. Export JSON/CSV. - **URL**: https://apify.com/pear\_fight/devto-scraper.md - **Developed by:** [Harald](https://apify.com/pear_fight) (community) - **Categories:** News - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results 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 ## DEV.to Scraper ⚡ Fast and reliable DEV.to article scraper that uses the **official DEV.to API**. Extract articles, user information, tags, reactions, and comments without browser overhead. ### Why This Scraper? - ⚡ **Super Fast** - Uses official API, no browser needed - 💰 **Cost Efficient** - HTTP requests only, minimal compute units - 🎯 **Reliable** - Official API means no breakage from UI changes - 🔍 **Flexible Filters** - Search by username, tag, keywords, or get top articles - 📊 **Rich Data** - Get reactions, comments, user profiles, tags, and more ### Features ✅ Scrape articles by **username** (e.g., all posts from @ben) ✅ Filter by **tag** (e.g., #javascript, #python, #webdev) ✅ **Search within articles** (title, description, tags) ✅ Get **top articles** by day/week/month/year ✅ Extract **comments** (optional) ✅ Get **user profiles** with social links ✅ Fetch **organization** information ✅ Sort by **fresh** or **rising** articles ### Use Cases - 📈 **Content Research** - Find trending topics and popular articles - 🎯 **Competitor Analysis** - Track what successful developers write about - 📚 **Content Curation** - Build reading lists or newsletters - 🤖 **AI Training Data** - Collect developer content for LLMs - 📊 **Analytics** - Track engagement metrics (reactions, comments) - 🔔 **Monitoring** - Watch for articles with specific keywords/tags ### Input Configuration #### Basic Filters - **Username** - Get articles from a specific user (e.g., `ben`, `jess`) - **Tag** - Filter by tag (e.g., `javascript`, `webdev`, `tutorial`) - **Search Query** - Search within titles, descriptions, and tags - **Max Articles** - Limit results (default: 100) #### Advanced Options - **Top N** - Get top articles (7=week, 30=month, 365=year, 999=all-time) - **State** - Choose `fresh` (recent), `rising` (trending), or `all` - **Include Comments** - Fetch comments for each article (increases runtime) ### Output Data Each article includes: ```json { "id": 3265532, "title": "A New Chapter: DEV is Joining Forces with MLH", "description": "Hey everyone, I have some massive news...", "url": "https://dev.to/devteam/...", "publishedAt": "2026-02-18T14:10:31Z", "commentsCount": 86, "publicReactionsCount": 343, "readingTimeMinutes": 6, "tags": ["news", "devto", "hackathon", "discuss"], "coverImage": "https://...", "user": { "name": "Ben Halpern", "username": "ben", "twitterUsername": "bendhalpern", "githubUsername": "benhalpern", "websiteUrl": "http://benhalpern.com", "profileImage": "https://..." }, "organization": { "name": "The DEV Team", "username": "devteam" } } ```` ### Examples #### Get Recent JavaScript Articles ```json { "tag": "javascript", "maxArticles": 50 } ``` #### Get All Posts from a User ```json { "username": "ben", "maxArticles": 200 } ``` #### Find Articles About React Hooks ```json { "searchQuery": "react hooks", "maxArticles": 100 } ``` #### Get Top Weekly Articles ```json { "top": 7, "maxArticles": 50 } ``` #### Get Trending Python Articles with Comments ```json { "tag": "python", "state": "rising", "includeComments": true, "maxArticles": 30 } ``` ### API Limits & Best Practices - The DEV.to API is rate-limited but generous for reasonable use - This scraper includes automatic 500ms delays between pages - Fetching comments increases runtime - use only when needed - Start with small `maxArticles` values to test your filters ### Cost This actor is extremely cheap to run because it uses simple HTTP requests instead of browsers: - \~0.001 compute units per 100 articles (without comments) - \~0.01 compute units per 100 articles (with comments) ### Support - 📖 [DEV.to API Documentation](https://developers.forem.com/api) - 💬 Questions? Open an issue or contact the developer - ⭐ Like this actor? Leave a review! ### License Apache-2.0 # Actor input Schema ## `username` (type: `string`): Filter articles by DEV.to username (e.g., 'ben' or 'jess'). Leave empty for all users. ## `tag` (type: `string`): Filter articles by tag (e.g., 'javascript', 'python', 'webdev'). Leave empty for all tags. ## `searchQuery` (type: `string`): Search within article titles, descriptions, and tags. Case-insensitive. Leave empty to skip filtering. ## `top` (type: `integer`): Get top N articles. Use values like 7 (week), 30 (month), 365 (year), or 999 (all time). Leave empty for recent articles. ## `state` (type: `string`): Article state filter. 'fresh' = recent articles, 'rising' = trending articles, 'all' = all articles. ## `maxArticles` (type: `integer`): Maximum number of articles to scrape. ## `includeComments` (type: `boolean`): Fetch comments for each article. Warning: This will increase runtime and cost. ## Actor input object example ```json { "username": "ben", "tag": "javascript", "searchQuery": "react hooks", "top": 7, "state": "fresh", "maxArticles": 100, "includeComments": 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("pear_fight/devto-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("pear_fight/devto-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 pear_fight/devto-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pear_fight/devto-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dev.to Scraper - Articles & Developer Content", "description": "Scrape Dev.to articles, author profiles, tags & comments. Extract titles, content, reactions, reading time, dates. Search by topic, tag, or author. Track developer trends. Pay per result. Export JSON/CSV.", "version": "1.0", "x-build-id": "sBQwBEzKDrtysiUO5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pear_fight~devto-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pear_fight-devto-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pear_fight~devto-scraper/runs": { "post": { "operationId": "runs-sync-pear_fight-devto-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pear_fight~devto-scraper/run-sync": { "post": { "operationId": "run-sync-pear_fight-devto-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "username": { "title": "Username", "type": "string", "description": "Filter articles by DEV.to username (e.g., 'ben' or 'jess'). Leave empty for all users." }, "tag": { "title": "Tag", "type": "string", "description": "Filter articles by tag (e.g., 'javascript', 'python', 'webdev'). Leave empty for all tags." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search within article titles, descriptions, and tags. Case-insensitive. Leave empty to skip filtering." }, "top": { "title": "Top N Articles", "minimum": 1, "type": "integer", "description": "Get top N articles. Use values like 7 (week), 30 (month), 365 (year), or 999 (all time). Leave empty for recent articles." }, "state": { "title": "State", "enum": [ "fresh", "rising", "all" ], "type": "string", "description": "Article state filter. 'fresh' = recent articles, 'rising' = trending articles, 'all' = all articles.", "default": "fresh" }, "maxArticles": { "title": "Max Articles", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of articles to scrape.", "default": 100 }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "Fetch comments for each article. Warning: This will increase runtime and cost.", "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 } } } } } } } } } } ```