# Arc.dev Scraper (`crawlerbros/arcdev-scraper`) Actor Scrape Arc.dev for remote developer job listings. Search by keyword, technology stack, or browse featured remote roles. Extract job title, company, salary range, tech stack, job type, and more. - **URL**: https://apify.com/crawlerbros/arcdev-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Jobs, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. 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 ## Arc.dev Scraper Scrape **Arc.dev** — a curated remote developer job board — for software engineering, data science, and tech roles. All jobs are remote-first. Search by keyword, technology stack, or browse featured listings. Extract salary range, tech stack, job type, and more. ### Features - **Search Jobs** — Find remote developer jobs by keyword - **Search by Technology** — Filter by 20 tech stacks (React, Python, Go, etc.) - **Featured Jobs** — Top remote developer jobs highlighted by Arc.dev ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | `searchJobs`, `searchByTech`, `featuredJobs` | | `keyword` | string | Job title or keyword | | `tech` | select | Technology filter (20 options) | | `jobType` | select | `full-time`, `contract`, `part-time`, `freelance` | | `maxItems` | integer | Max jobs to return (1–500, default 20) | #### Technologies `react`, `python`, `javascript`, `typescript`, `node`, `java`, `go`, `ruby`, `php`, `ios`, `android`, `devops`, `data-science`, `machine-learning`, `blockchain`, `vue`, `angular`, `rust`, `kotlin`, `swift` ### Output | Field | Description | |-------|-------------| | `jobId` | Arc.dev job identifier | | `title` | Job title | | `company` | Company name | | `location` | Always `Remote` or similar | | `salaryRange` | Compensation range | | `techStack` | Required technologies | | `jobType` | Employment type | | `remote` | Always `true` | | `postedDate` | When posted | | `jobUrl` | Arc.dev listing URL | | `recordType` | Always `job` | | `scrapedAt` | ISO timestamp | ### Example Input ```json { "mode": "searchJobs", "keyword": "React developer", "maxItems": 20 } ```` ### Example Output ```json { "jobId": "ARC12345", "title": "Senior React Developer", "company": "Stripe", "location": "Remote", "salaryRange": "$100K - $140K/yr", "techStack": ["React", "TypeScript", "GraphQL"], "jobType": "full-time", "remote": true, "postedDate": "2026-06-01", "jobUrl": "https://arc.dev/remote-jobs/stripe/senior-react-dev", "recordType": "job", "scrapedAt": "2026-06-02T08:00:00+00:00" } ``` ### FAQs **Are all jobs on Arc.dev remote?** Yes — Arc.dev exclusively lists remote developer jobs. **Can I filter by programming language?** Yes — use `mode: searchByTech` and select from 20 technology options. **What experience levels are available?** Arc.dev lists junior, mid-level, and senior positions. Use keyword search to filter by level. **How often are jobs posted?** New jobs are added daily. Run the actor regularly to track fresh listings. # Actor input Schema ## `mode` (type: `string`): What to fetch from Arc.dev. ## `keyword` (type: `string`): Job title or keyword (e.g. React developer, Python engineer). ## `tech` (type: `string`): Technology filter (mode=searchByTech). ## `jobType` (type: `string`): Employment type. ## `maxItems` (type: `integer`): Maximum number of jobs to return. ## Actor input object example ```json { "mode": "searchJobs", "keyword": "React developer", "maxItems": 20 } ``` # Actor output Schema ## `jobs` (type: `string`): Dataset containing all scraped Arc.dev job listings. # 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 = { "mode": "searchJobs", "keyword": "React developer", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/arcdev-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 = { "mode": "searchJobs", "keyword": "React developer", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/arcdev-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 '{ "mode": "searchJobs", "keyword": "React developer", "maxItems": 20 }' | apify call crawlerbros/arcdev-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/arcdev-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Arc.dev Scraper", "description": "Scrape Arc.dev for remote developer job listings. Search by keyword, technology stack, or browse featured remote roles. Extract job title, company, salary range, tech stack, job type, and more.", "version": "1.0", "x-build-id": "VMvM1Wh8ORRixacCI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~arcdev-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-arcdev-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~arcdev-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-arcdev-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~arcdev-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-arcdev-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchJobs", "searchByTech", "featuredJobs" ], "type": "string", "description": "What to fetch from Arc.dev.", "default": "searchJobs" }, "keyword": { "title": "Keyword", "type": "string", "description": "Job title or keyword (e.g. React developer, Python engineer).", "default": "React developer" }, "tech": { "title": "Technology", "enum": [ "react", "python", "javascript", "typescript", "node", "java", "go", "ruby", "php", "ios", "android", "devops", "data-science", "machine-learning", "blockchain", "vue", "angular", "rust", "kotlin", "swift" ], "type": "string", "description": "Technology filter (mode=searchByTech)." }, "jobType": { "title": "Job type", "enum": [ "full-time", "contract", "part-time", "freelance" ], "type": "string", "description": "Employment type." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of jobs to return.", "default": 20 } } }, "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 } } } } } } } } } } ```