# Australia New Data Jobs - Just-Posted Alerts (`data_lattice_au/data-jobs-rss-feed`) Actor Never miss a new Australian data job. A clean delta feed of just-posted analytics, BI, ML and AI roles - surfaced within hours of going live, deduped against the prior run. Wire it into Slack, RSS readers, candidate alerts or your weekly market briefing in minutes. - **URL**: https://apify.com/data\_lattice\_au/data-jobs-rss-feed.md - **Developed by:** [data\_lattice](https://apify.com/data_lattice_au) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## AU Data Jobs - Daily New Listings Feed Never miss a new Australian data job. A clean delta feed of just-posted analytics, BI, ML and AI roles - surfaced within hours of going live, deduped against the prior run. ### What this is for Most subscribers don't want a full daily scrape - they want the *difference*. "What's new since I last looked?" This Actor runs a fresh Seek + Jora + LinkedIn scrape, compares each listing's URL against the set of URLs it has already returned to you in prior runs, and emits ONLY the listings it hasn't seen before. The "seen" set is persisted in your Apify key-value store under `seen_ids` and capped to the most-recent 5,000 entries. ### How this helps you | You are a... | You use this to... | |---|---| | Job seeker | Get a daily notification of every brand-new AU data role within hours of posting (Slack, RSS reader, email) | | Recruitment agency | First-mover advantage - pitch candidates before competitors notice the role exists | | Talent ops at a corporate | Track when companies you compete with for talent post new roles (signals their growth + your retention risk) | | Career coach | Send your clients a curated daily list of "fresh roles in your taxonomy area" | ### Cold-start UX A cold start would naively flag every existing listing as "new" - and swamp you with 3,000 records on day one. Instead, the Actor seeds `seen_ids` from a baked-in list of ~3,113 known recent IDs, so the very first run only emits genuinely new postings since that snapshot was built. To override and dump every listing once (e.g. for a backfill), set `force_full_dump: true`. ### Output (one row per NEW listing) `title`, `company`, `location`, `salary`, `posted`, `url`, `teaser`, `area`, `source` (one of `seek` / `jora` / `linkedin`), `scraped_at`. Schema in `OUTPUT_SCHEMA.json`. ### Pricing **$0.005 per dataset item** (per new job emitted). A daily subscriber seeing ~10-30 fresh AU data roles per day pays ~$1.50-4.50/month. Most days produce zero or low-single-digit deltas - you don't pay for runs that find no news. ### Run it ```json { "force_full_dump": false } ```` Or schedule daily in Apify Console for 02:30 AEST and pipe the dataset to Slack / a webhook / RSS via Apify's webhook integrations. ### Brand Part of the [Data Lattice](https://datalattice.com.au) AU data-jobs portfolio. The cleanest way to consume the daily feed without managing your own dedupe state. # Actor input Schema ## `force_full_dump` (type: `boolean`): Override the cold-start seen-list and emit every scraped job. Useful for one-off backfills. Default behaviour ignores existing listings on first run so you only ever see real new postings. ## Actor input object example ```json { "force_full_dump": false } ``` # Actor output Schema ## `title` (type: `string`): Job title. ## `company` (type: `string`): Company name. ## `location` (type: `string`): Suburb + state. ## `salary` (type: `string`): Salary string (may be empty). ## `posted` (type: `string`): Listing freshness. ## `url` (type: `string`): Permanent URL. ## `teaser` (type: `string`): Short description. ## `area` (type: `string`): Data-sphere taxonomy category. ## `source` (type: `string`): One of: seek, jora, linkedin. ## `scraped_at` (type: `string`): ISO 8601 timestamp. # 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("data_lattice_au/data-jobs-rss-feed").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("data_lattice_au/data-jobs-rss-feed").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 data_lattice_au/data-jobs-rss-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data_lattice_au/data-jobs-rss-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Australia New Data Jobs - Just-Posted Alerts", "description": "Never miss a new Australian data job. A clean delta feed of just-posted analytics, BI, ML and AI roles - surfaced within hours of going live, deduped against the prior run. Wire it into Slack, RSS readers, candidate alerts or your weekly market briefing in minutes.", "version": "0.48", "x-build-id": "sKcjxIZFLfgcnDxAE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data_lattice_au~data-jobs-rss-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data_lattice_au-data-jobs-rss-feed", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data_lattice_au~data-jobs-rss-feed/runs": { "post": { "operationId": "runs-sync-data_lattice_au-data-jobs-rss-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data_lattice_au~data-jobs-rss-feed/run-sync": { "post": { "operationId": "run-sync-data_lattice_au-data-jobs-rss-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "force_full_dump": { "title": "Dump every job (not just deltas)", "type": "boolean", "description": "Override the cold-start seen-list and emit every scraped job. Useful for one-off backfills. Default behaviour ignores existing listings on first run so you only ever see real new postings.", "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 } } } } } } } } } } ```