# DEV.to Article Scraper (`dami_studio/devto-scraper`) Actor Scrape DEV.to articles via the public Forem API — by tag, author, or sort (top/latest/rising). Get clean structured data: title, author, tags, reactions, comments, reading time, cover image, and optional full body. No key, no login. - **URL**: https://apify.com/dami\_studio/devto-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** News, Developer tools, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 article 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 ## DEV.to Article Scraper Scrape [DEV.to](https://dev.to) articles via the public **Forem API** — no API key, no login, no anti-bot. Filter by tag or author, choose how results are sorted, and optionally pull the full article body. ### What you get per article `id`, `title`, `description`, `url`, `author`, `authorUsername`, `tags`, `reactions`, `comments`, `readingTimeMinutes`, `coverImage`, `publishedAt`. Turn on **Include full body** to also get `body` (markdown/HTML). Nullable fields: `coverImage` and `publishedAt` are `null` when DEV.to does not supply them. When **Include full body** is on, `body` can be `null` for an article whose full-body fetch fails or is empty; the row is still returned (with `ok: true`) so you can see which articles were affected. ### Input | Field | Notes | |---|---| | `tag` | Only articles with this tag, e.g. `javascript`, `react`, `webdev`. Optional. | | `username` | Only articles by this author, e.g. `ben`. Optional. | | `sortBy` | `top` (most reactions in the last N days), `latest` (newest), or `rising`. Default `top`. | | `topDays` | Window for `top` sorting, e.g. `7` = top of the week, `365` = top of the year. Default `7`. | | `includeBody` | Fetch the full article body per result (extra API call each). Default off. | | `maxItems` | How many articles to return. The actor paginates until it has this many. Default `50`. | ### Output One dataset row per article, each with `ok: true`. Empty/no-match inputs return a single diagnostic row with `ok: false` and an `errorCode` (e.g. `NO_RESULTS`) — that diagnostic row is **not charged**, it is just an explanation that the tag/username/sort combination matched no articles. ### Pricing Pay-per-result: you are charged once per article row returned. Diagnostic rows (`ok: false`, such as `NO_RESULTS`, `BLOCKED`, `RATE_LIMITED`, `NETWORK`) are never charged, so empty or failed runs cost you nothing. ### Proxy No proxy is needed. The Forem API (`https://dev.to/api`) is a public, no-auth, no-anti-bot endpoint, so the default is no proxy and runs work fine without one. Only enable Apify Proxy if you hit IP-based rate limits on very large runs. ### Troubleshooting If you get a single `NO_RESULTS` diagnostic row instead of articles, the tag/username/sort combination matched nothing — double-check the spelling of the `tag` or `username` (DEV.to tags are lowercase, e.g. `javascript` not `JavaScript`), or widen `topDays`. A `RATE_LIMITED` or `NETWORK` row means the API throttled or a transient network error occurred; re-run, or enable Apify Proxy for large runs. None of these diagnostic rows are charged. ### Examples Top JavaScript articles of the last month: ```json { "tag": "javascript", "sortBy": "top", "topDays": 30, "maxItems": 50 } ```` Latest articles from a specific author: ```json { "username": "ben", "sortBy": "latest", "maxItems": 30 } ``` ### Notes Built on the documented Forem API (`https://dev.to/api`). The `top` window selects the highest-reaction articles published within the last `topDays` days. `latest` returns the newest articles; `rising` returns currently rising posts. Results are deduplicated by article id. # Actor input Schema ## `tag` (type: `string`): Only return articles with this DEV.to tag (e.g. "javascript", "react", "webdev"). Leave empty to not filter by tag. ## `username` (type: `string`): Only return articles by this DEV.to author username (e.g. "ben"). Leave empty to not filter by author. ## `sortBy` (type: `string`): How to order/select articles. "top" = most reactions in the last N days (see Top days), "latest" = newest first, "rising" = currently rising. ## `topDays` (type: `integer`): When Sort by = Top, return the highest-reaction articles published within the last this many days (e.g. 7 = top of the past week, 365 = top of the past year). Ignored for Latest/Rising. ## `includeBody` (type: `boolean`): Fetch the full article body (markdown/HTML) for each result via a second API call per article. Slower and makes more requests. ## `maxItems` (type: `integer`): Maximum number of articles to return. The actor paginates the API (100 per page) until this many are collected or the results run out. ## `notionConnector` (type: `string`): Optional. Write each article as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. ## `notionParentId` (type: `string`): Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. ## `proxyConfiguration` (type: `object`): Optional proxy for the DEV.to API requests. The public Forem API has no anti-bot, so no proxy is needed and the default is no proxy. Only enable Apify Proxy if you hit IP-based rate limits on very large runs. ## Actor input object example ```json { "tag": "javascript", "sortBy": "top", "topDays": 7, "includeBody": false, "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead. # 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 = { "tag": "javascript" }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/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 = { "tag": "javascript" } # Run the Actor and wait for it to finish run = client.actor("dami_studio/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 '{ "tag": "javascript" }' | apify call dami_studio/devto-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/devto-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DEV.to Article Scraper", "description": "Scrape DEV.to articles via the public Forem API — by tag, author, or sort (top/latest/rising). Get clean structured data: title, author, tags, reactions, comments, reading time, cover image, and optional full body. No key, no login.", "version": "0.1", "x-build-id": "9NSUM89GuqU7nhYgj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~devto-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~devto-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-devto-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~devto-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-devto-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tag": { "title": "Tag", "type": "string", "description": "Only return articles with this DEV.to tag (e.g. \"javascript\", \"react\", \"webdev\"). Leave empty to not filter by tag." }, "username": { "title": "Author username", "type": "string", "description": "Only return articles by this DEV.to author username (e.g. \"ben\"). Leave empty to not filter by author." }, "sortBy": { "title": "Sort by", "enum": [ "top", "latest", "rising" ], "type": "string", "description": "How to order/select articles. \"top\" = most reactions in the last N days (see Top days), \"latest\" = newest first, \"rising\" = currently rising.", "default": "top" }, "topDays": { "title": "Top days", "minimum": 1, "maximum": 3650, "type": "integer", "description": "When Sort by = Top, return the highest-reaction articles published within the last this many days (e.g. 7 = top of the past week, 365 = top of the past year). Ignored for Latest/Rising.", "default": 7 }, "includeBody": { "title": "Include full body", "type": "boolean", "description": "Fetch the full article body (markdown/HTML) for each result via a second API call per article. Slower and makes more requests.", "default": false }, "maxItems": { "title": "Max articles", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of articles to return. The actor paginates the API (100 per page) until this many are collected or the results run out.", "default": 50 }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Optional. Write each article as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless." }, "notionParentId": { "title": "Notion target data source ID", "type": "string", "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Optional proxy for the DEV.to API requests. The public Forem API has no anti-bot, so no proxy is needed and the default is no proxy. Only enable Apify Proxy if you hit IP-based rate limits on very large runs.", "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 } } } } } } } } } } ```