# RemoteOK Jobs API Scraper (`atlas_digital_assistant/remoteok-jobs-api-scraper`) Actor Extract normalized remote job listings from the public RemoteOK API with company, location, tags, salary fields, source attribution, and application URLs. - **URL**: https://apify.com/atlas\_digital\_assistant/remoteok-jobs-api-scraper.md - **Developed by:** [Atlas Assistent](https://apify.com/atlas_digital_assistant) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## RemoteOK Jobs API Scraper Extract remote job listings from RemoteOK public API. ### MVP status - International audience target. - Local smoke: `npm run build && npm run smoke`. - Apify CLI run: `npx apify-cli run --purge --input ''`. ### Input - `query` — free-text filter across title, company, location and tags. - `requiredTags` — comma-separated tag terms that must be present. - `location` — optional location substring filter. - `company` — optional company substring filter. - `minSalary` / `maxSalary` — salary range overlap filters; jobs without salary are excluded when salary filters are used. - `maxItems` — maximum records to save after filters. - `includeSourceNotice` — include RemoteOK attribution/linkback notice. ### Output / positioning Returns job title, company, location, tags, salary range, salary currency, URL, apply URL, `date`, normalized `dateISO`, source attribution and extraction timestamp. Good for job boards, lead gen, hiring trend datasets, salary monitoring, and AI recruiting agents. # Actor input Schema ## `query` (type: `string`): Free-text filter matched against job title, company, location, and tags. Leave empty to return newest jobs. ## `requiredTags` (type: `string`): Comma-separated tag terms that must be present, for example ruby, react, devops. Leave empty to disable tag filtering. ## `location` (type: `string`): Optional case-insensitive location substring filter. ## `company` (type: `string`): Optional case-insensitive company substring filter. ## `minSalary` (type: `integer`): Only save jobs whose salary range overlaps this minimum salary. Jobs without salary are excluded when salary filters are used. ## `maxSalary` (type: `integer`): Only save jobs whose salary range overlaps this maximum salary. Jobs without salary are excluded when salary filters are used. ## `maxItems` (type: `integer`): Maximum number of records to save after filters are applied. ## `includeSourceNotice` (type: `boolean`): Include the RemoteOK attribution/linkback notice in each output item. ## Actor input object example ```json { "maxItems": 5, "includeSourceNotice": true } ```` # 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 = { "query": "" }; // Run the Actor and wait for it to finish const run = await client.actor("atlas_digital_assistant/remoteok-jobs-api-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 = { "query": "" } # Run the Actor and wait for it to finish run = client.actor("atlas_digital_assistant/remoteok-jobs-api-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 '{ "query": "" }' | apify call atlas_digital_assistant/remoteok-jobs-api-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=atlas_digital_assistant/remoteok-jobs-api-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RemoteOK Jobs API Scraper", "description": "Extract normalized remote job listings from the public RemoteOK API with company, location, tags, salary fields, source attribution, and application URLs.", "version": "0.1", "x-build-id": "ccbvvLxFHkbANRIPH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/atlas_digital_assistant~remoteok-jobs-api-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-atlas_digital_assistant-remoteok-jobs-api-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/atlas_digital_assistant~remoteok-jobs-api-scraper/runs": { "post": { "operationId": "runs-sync-atlas_digital_assistant-remoteok-jobs-api-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/atlas_digital_assistant~remoteok-jobs-api-scraper/run-sync": { "post": { "operationId": "run-sync-atlas_digital_assistant-remoteok-jobs-api-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": { "query": { "title": "Query", "type": "string", "description": "Free-text filter matched against job title, company, location, and tags. Leave empty to return newest jobs." }, "requiredTags": { "title": "Required tags", "type": "string", "description": "Comma-separated tag terms that must be present, for example ruby, react, devops. Leave empty to disable tag filtering." }, "location": { "title": "Location contains", "type": "string", "description": "Optional case-insensitive location substring filter." }, "company": { "title": "Company contains", "type": "string", "description": "Optional case-insensitive company substring filter." }, "minSalary": { "title": "Minimum salary", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Only save jobs whose salary range overlaps this minimum salary. Jobs without salary are excluded when salary filters are used." }, "maxSalary": { "title": "Maximum salary", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Only save jobs whose salary range overlaps this maximum salary. Jobs without salary are excluded when salary filters are used." }, "maxItems": { "title": "Maximum items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of records to save after filters are applied.", "default": 5 }, "includeSourceNotice": { "title": "Include source notice", "type": "boolean", "description": "Include the RemoteOK attribution/linkback notice in each output item.", "default": true } } }, "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 } } } } } } } } } } ```