# JobToday Scraper (`unfenced-group/jobtoday-scraper`) Actor Scrape job listings from JobToday across UK, Spain, France, USA and Italy. Extract salaries, GPS coordinates, company info, employment type and full descriptions. Keyword, location and easy-apply filters included. - **URL**: https://apify.com/unfenced-group/jobtoday-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## JobToday Scraper ![JobToday Scraper](https://i.imgur.com/placeholder.png) Extract structured job listings from **[JobToday](https://jobtoday.com)** — the mobile-first job platform for hospitality, retail, and blue-collar work — across **5 markets**: UK, Spain, France, USA and Italy. Each result includes the job title, full company profile, salary range, GPS coordinates, employment type, easy-apply flag, and the complete job description in both plain text and Markdown. --- ### Features - **5 markets:** UK (`gb`), Spain (`es`), France (`fr`), USA (`us`), Italy (`it`) - **Keyword search** — search by job title or role - **Location filter** — narrow by city or region - **Employment type** — Full-time or Part-time - **Easy apply** — only jobs you can apply to directly on JobToday - **Immediate start** — jobs available right away - **No experience required** — entry-level only - **Language filter** — filter by required job language (en, es, fr, it, de) - **daysOld filter** — only jobs posted within N days - **maxItems cap** — control spend exactly - **Built-in deduplication** — no duplicate jobs within a single run - **Multi-country** — scrape multiple markets in one run --- ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `countries` | array | `["gb"]` | Markets to scrape: `gb`, `es`, `fr`, `us`, `it` | | `keyword` | string | `""` | Job title or search term. Empty = all jobs | | `location` | string | `""` | City or region (e.g. `London`, `Madrid`) | | `employmentTypes` | array | `[]` | `FULL_TIME`, `PART_TIME`, or both | | `easyApply` | boolean | `false` | Only jobs with direct in-app application | | `immediateStart` | boolean | `false` | Only jobs with an immediate start | | `noExperience` | boolean | `false` | Only entry-level / no experience required | | `languageCodes` | array | `[]` | Filter by required language: `en`, `es`, `fr`, `it`, `de` | | `maxItems` | integer | `0` | Max results (0 = unlimited) | | `daysOld` | integer | `0` | Max job age in days (0 = no limit) | #### Example inputs **Search UK hospitality jobs in London:** ```json { "countries": ["gb"], "keyword": "chef", "location": "london", "maxItems": 500 } ```` **All easy-apply, no-experience jobs in Spain:** ```json { "countries": ["es"], "easyApply": true, "noExperience": true, "maxItems": 200 } ``` **Multi-market sweep — UK + Spain + France:** ```json { "countries": ["gb", "es", "fr"], "employmentTypes": ["FULL_TIME"], "daysOld": 7, "maxItems": 1000 } ``` *** ### Output schema Each item represents one job listing: ```json { "jobId": "mBzZO8", "title": "Head Chef", "companyName": "The Ivy Collection", "companyBusinessCategory": "Restaurant", "companySize": "51-200 employees", "companyUrl": "https://jobtoday.com/gb/company/...", "location": "London, England, United Kingdom", "city": "London", "state": "England", "country": "United Kingdom", "postalCode": "EC1M 7AD", "latitude": 51.5236, "longitude": -0.0981, "employmentType": "FULL_TIME", "salaryMin": 45000, "salaryMax": 52000, "salaryCurrency": "GBP", "salaryPeriod": "YEARLY", "salaryExtra": "Tronc system included", "salarySource": "structured", "immediateStart": false, "experienceNotRequired": false, "easyApply": true, "urgent": false, "isVerified": true, "isExternalJob": false, "categories": ["Chefs & Cooks"], "categoryCode": "chef", "description": "We are looking for a Head Chef...", "descriptionMarkdown": "### Head Chef\n\nWe are looking for...", "applyUrl": "https://jobtoday.com/gb/job/head-chef-mBzZO8", "imageUrl": "https://cdn.jobtoday.com/img/...", "postedAt": "2026-03-31T08:19:58.000Z", "updatedAt": "2026-03-31T08:19:58.000Z", "postedSecondsAgo": 1905, "market": "gb", "scrapedAt": "2026-03-31T09:00:00.000Z" } ``` *** ### Pricing **$1.00 per 1,000 results** — you only pay for successfully extracted jobs. Failed retries are never charged. | Results | Estimated cost | |---|---| | 100 | ~$0.10 | | 1,000 | ~$1.00 | | 10,000 | ~$10.00 | | 100,000 | ~$100.00 | > Flat-rate alternatives typically charge $25–$49/month regardless of usage. At 1,000 results/month, this scraper costs significantly less with no commitment. Use the **Max results** cap in the input to control your spend exactly. *** ### Performance | Scenario | Results | Time | |---|---|---| | Single market, no filter | 2,400 | ~35s | | Keyword + location, UK | ~500 | ~10s | | 5 markets, maxItems=1,000 | 1,000 | ~15s | Throughput: ~100 results/second with concurrent pagination. *** ### Technical details - **Memory:** 256 MB - **Retry:** Automatic retry on network errors, exponential backoff, 3 attempts per request - **Dedup:** jobId-based deduplication within each run *** ### Known limitations - **Apply URL:** links to the JobToday job detail page. Direct external application links are not available. - **Salary:** Not published by all employers — will be `null` when unavailable. When no structured salary exists, the scraper attempts to extract a range from the job description text (e.g. "Typical earnings: £500–£2,000/month"). Use `salarySource` to distinguish: `"structured"` = set by employer, `"description"` = parsed from description text, `null` = no salary found. - **Language filter:** Only meaningful when the target market has jobs in that language (e.g. `languageCodes: ["es"]` works for `countries: ["es"]`). - **Markets:** Only `gb`, `es`, `fr`, `us` and `it` are active. Other country codes return no results. *** ### Additional services Need a custom actor, additional filters, scheduled runs, or integration support? Send an email to — we build on request. *** *Built by [unfenced-group](https://apify.com/unfenced-group)* # Actor input Schema ## `countries` (type: `array`): Markets to scrape. Supported: gb (UK), es (Spain), fr (France), us (USA), it (Italy). ## `keyword` (type: `string`): Job title or keyword to search for. Leave empty to get all jobs. ## `location` (type: `string`): City or region to filter by (e.g. London, Madrid, Paris). ## `employmentTypes` (type: `array`): Filter by employment type. Leave empty for all. ## `easyApply` (type: `boolean`): Only return jobs that can be applied to directly on JobToday. ## `immediateStart` (type: `boolean`): Only return jobs with an immediate start date. ## `noExperience` (type: `boolean`): Only return jobs that require no prior experience. ## `languageCodes` (type: `array`): Filter by required job language. Leave empty for all. ## `maxItems` (type: `integer`): Maximum number of jobs to return. Set to 0 for unlimited. ## `daysOld` (type: `integer`): Only return jobs posted within this many days. Set to 0 to disable. ## Actor input object example ```json { "countries": [ "gb" ], "keyword": "waiter", "location": "London", "employmentTypes": [], "easyApply": false, "immediateStart": false, "noExperience": false, "languageCodes": [], "maxItems": 100, "daysOld": 0 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "countries": [ "gb" ], "keyword": "waiter", "location": "London", "employmentTypes": [], "easyApply": false, "immediateStart": false, "noExperience": false, "languageCodes": [], "maxItems": 100, "daysOld": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/jobtoday-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 = { "countries": ["gb"], "keyword": "waiter", "location": "London", "employmentTypes": [], "easyApply": False, "immediateStart": False, "noExperience": False, "languageCodes": [], "maxItems": 100, "daysOld": 0, } # Run the Actor and wait for it to finish run = client.actor("unfenced-group/jobtoday-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 '{ "countries": [ "gb" ], "keyword": "waiter", "location": "London", "employmentTypes": [], "easyApply": false, "immediateStart": false, "noExperience": false, "languageCodes": [], "maxItems": 100, "daysOld": 0 }' | apify call unfenced-group/jobtoday-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/jobtoday-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "JobToday Scraper", "description": "Scrape job listings from JobToday across UK, Spain, France, USA and Italy. Extract salaries, GPS coordinates, company info, employment type and full descriptions. Keyword, location and easy-apply filters included.", "version": "1.0", "x-build-id": "DlMAcBUXjnqBKXoMz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~jobtoday-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-jobtoday-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~jobtoday-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-jobtoday-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~jobtoday-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-jobtoday-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "countries": { "title": "Countries", "type": "array", "description": "Markets to scrape. Supported: gb (UK), es (Spain), fr (France), us (USA), it (Italy).", "items": { "type": "string", "enum": [ "gb", "es", "fr", "us", "it" ] }, "default": [ "gb" ] }, "keyword": { "title": "Keyword", "type": "string", "description": "Job title or keyword to search for. Leave empty to get all jobs.", "default": "" }, "location": { "title": "Location", "type": "string", "description": "City or region to filter by (e.g. London, Madrid, Paris).", "default": "" }, "employmentTypes": { "title": "Employment Types", "type": "array", "description": "Filter by employment type. Leave empty for all.", "items": { "type": "string", "enum": [ "FULL_TIME", "PART_TIME" ] }, "default": [] }, "easyApply": { "title": "Easy Apply Only", "type": "boolean", "description": "Only return jobs that can be applied to directly on JobToday.", "default": false }, "immediateStart": { "title": "Immediate Start Only", "type": "boolean", "description": "Only return jobs with an immediate start date.", "default": false }, "noExperience": { "title": "No Experience Required", "type": "boolean", "description": "Only return jobs that require no prior experience.", "default": false }, "languageCodes": { "title": "Languages", "type": "array", "description": "Filter by required job language. Leave empty for all.", "items": { "type": "string", "enum": [ "en", "es", "fr", "it", "de" ] }, "default": [] }, "maxItems": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of jobs to return. Set to 0 for unlimited.", "default": 0 }, "daysOld": { "title": "Maximum Age (days)", "minimum": 0, "type": "integer", "description": "Only return jobs posted within this many days. Set to 0 to disable.", "default": 0 } } }, "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 } } } } } } } } } } ```