# Australia Data Skills Intelligence - Daily Market Pulse (`data_lattice_au/au-data-skill-intelligence`) Actor

Your daily pulse on Australia's data job market. Scrapes Seek, Jora and LinkedIn, dedupes, then ships skill-demand rankings, co-occurrence pairs (PMI + Jaccard), community clusters, t-SNE map and per-area heatmap. One JSON powers your dashboards, reports and pricing decisions.

- **URL**: https://apify.com/data\_lattice\_au/au-data-skill-intelligence.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 $8,000.00 / 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 Skill Intelligence (Daily Auto-Refresh)

Your daily pulse on Australia's data job market. Scrapes Seek, Jora and
LinkedIn, dedupes, then ships skill-demand rankings, co-occurrence pairs
(PMI + Jaccard), community clusters, t-SNE map and per-area heatmap. One
JSON powers your dashboards, reports and pricing decisions.

### What this is for

The three Data Lattice scrapers each give you a stream of rows. This
Actor consolidates and analyses them: across all ~3,000+ live AU data
jobs scraped on a given day, what skills are being asked for, in what
combinations, by which kinds of employers?

The output is a single ~80 KB JSON document with eight derived sections:

| Section | What it answers |
|---|---|
| `top_skills` | Which skills are most demanded right now (e.g. SQL: 797 jobs) |
| `top_pairs` | Which skill-pairs co-occur strongest (e.g. dbt + Snowflake at PMI 2.35) |
| `communities` | Which skills cluster naturally (modern data stack vs classical BI) |
| `embedding` | 2-D t-SNE coordinates for visualising the entire skill graph |
| `heatmap_by_area` | What % of jobs in each taxonomy area mention each skill |
| `n_jobs`, `n_skills` | Volume signals - how big is the dataset |
| `generated_at` | Snapshot timestamp so you can detect staleness |
| `seed` flag | True only when you've hit the cold-start fallback |

### How this helps you

| You are a... | You use this to... |
|---|---|
| Recruitment agency | Build "what skills are most in demand for AU data engineers right now" briefs for clients in 30 seconds |
| Bootcamp / EdTech | Run weekly curriculum reviews - drop tools that aren't being asked for, add ones that are |
| Career coach | Show clients exactly which skills will move them from "applies to 100 jobs / hears nothing" to "first interview" |
| Salary benchmarker | Pair skill demand with the salary fields from the underlying scrapers to answer "is dbt experience worth a $10k premium?" |
| Data team lead | Justify your tooling choices internally: "65% of AU senior-data roles now require dbt, here's the source data" |
| AI / ML researcher | Track how fast the GenAI stack (LangChain, vector DBs, fine-tuning) is being absorbed into AU job descriptions |

### Cold-start UX

First-ever run returns a baked-in seed (~3,113 jobs, 136 skills) in 2
seconds instead of waiting 3-5 minutes for a fresh scrape. The seed is
honestly labelled (`seed: true`, dated `note`) so buyers can see it's
the cold-start fallback. Subsequent runs do the real refresh.

To force a fresh scrape on first run: pass `force_refresh: true`.

### Two scheduling modes

1. **Apify Schedules (recommended)**: publish the Actor and add a daily
   schedule in the Apify Console for 02:00 Australia/Sydney. Each run is
   metered as one event.

2. **In-Docker cron (`DAEMON=1`)**: launch the container with `DAEMON=1`
   on your own VPS / k8s. The image embeds `cron` + `supervisord`, runs
   an immediate refresh at boot, then re-runs every day at 02:00 AEST
   from inside Docker. Use this for the **highest-margin path** - 
   subscribers hit your local snapshot, never Apify, so cost-of-goods is
   ~$0.

### No personal data

The image contains the taxonomy and pipeline only. No CVs, no
candidate identity. The dataset shipped is a derived market summary,
never raw scraped JD content.

### Pricing

**$1.50 per refresh** (PAY_PER_EVENT, fired as `refresh_completed` once
per successful run). A daily subscriber pays ~$45/month metered. Three
weekly runs = $18/month. You only pay when a fresh refresh actually
completes.

### Run it

```json
{
  "seek_pages": 3,
  "jora_per_keyword": 12,
  "linkedin_per_keyword": 8,
  "use_seed_for_cold_start": true,
  "force_refresh": false
}
````

### Brand

The flagship Actor of the [Data Lattice](https://datalattice.com.au)
portfolio. The output of this Actor is consumed downstream by the
Co-Occurrence API and the RSS Feed Actors.

# Actor input Schema

## `seek_pages` (type: `integer`):

Number of Seek result pages to fetch per data-sphere category.

## `jora_per_keyword` (type: `integer`):

Maximum Jora job rows to collect per keyword.

## `linkedin_per_keyword` (type: `integer`):

Maximum LinkedIn job-card rows per keyword (metadata only, no body scraping).

## `use_seed_for_cold_start` (type: `boolean`):

On the very first run (no cached dataset yet), return a baked-in seed of recent intelligence in seconds rather than waiting 3-5 minutes for a fresh scrape. Subsequent runs always do the full live refresh.

## `force_refresh` (type: `boolean`):

Skip the seed shortcut and always do a full live scrape, even on the first run.

## Actor input object example

```json
{
  "seek_pages": 3,
  "jora_per_keyword": 12,
  "linkedin_per_keyword": 8,
  "use_seed_for_cold_start": true,
  "force_refresh": false
}
```

# Actor output Schema

## `generated_at` (type: `string`):

ISO 8601 timestamp of this snapshot.

## `n_jobs` (type: `string`):

Number of distinct AU data-sphere jobs in this refresh.

## `n_skills` (type: `string`):

Number of skills detected with at least one job.

## `areas` (type: `string`):

Data-sphere areas covered.

## `top_skills` (type: `string`):

Skills ranked by demand.

## `top_pairs` (type: `string`):

Strongest co-occurring skill pairs (PMI + Jaccard).

## `communities` (type: `string`):

Greedy-modularity skill clusters.

## `embedding` (type: `string`):

2D t-SNE coordinates per skill.

## `heatmap_by_area` (type: `string`):

Per-skill mention rate within each data-sphere area.

## `seed` (type: `string`):

True when this is the cold-start fallback snapshot.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("data_lattice_au/au-data-skill-intelligence").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("data_lattice_au/au-data-skill-intelligence").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/au-data-skill-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=data_lattice_au/au-data-skill-intelligence",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Australia Data Skills Intelligence - Daily Market Pulse",
        "description": "Your daily pulse on Australia's data job market. Scrapes Seek, Jora and LinkedIn, dedupes, then ships skill-demand rankings, co-occurrence pairs (PMI + Jaccard), community clusters, t-SNE map and per-area heatmap. One JSON powers your dashboards, reports and pricing decisions.",
        "version": "0.48",
        "x-build-id": "XeCizI7oQyPgJfbQ3"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/data_lattice_au~au-data-skill-intelligence/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-data_lattice_au-au-data-skill-intelligence",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/data_lattice_au~au-data-skill-intelligence/runs": {
            "post": {
                "operationId": "runs-sync-data_lattice_au-au-data-skill-intelligence",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/data_lattice_au~au-data-skill-intelligence/run-sync": {
            "post": {
                "operationId": "run-sync-data_lattice_au-au-data-skill-intelligence",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "seek_pages": {
                        "title": "Seek pages per category",
                        "minimum": 1,
                        "maximum": 10,
                        "type": "integer",
                        "description": "Number of Seek result pages to fetch per data-sphere category.",
                        "default": 3
                    },
                    "jora_per_keyword": {
                        "title": "Jora rows per keyword",
                        "minimum": 1,
                        "maximum": 50,
                        "type": "integer",
                        "description": "Maximum Jora job rows to collect per keyword.",
                        "default": 12
                    },
                    "linkedin_per_keyword": {
                        "title": "LinkedIn rows per keyword",
                        "minimum": 1,
                        "maximum": 30,
                        "type": "integer",
                        "description": "Maximum LinkedIn job-card rows per keyword (metadata only, no body scraping).",
                        "default": 8
                    },
                    "use_seed_for_cold_start": {
                        "title": "Use baked seed on cold start",
                        "type": "boolean",
                        "description": "On the very first run (no cached dataset yet), return a baked-in seed of recent intelligence in seconds rather than waiting 3-5 minutes for a fresh scrape. Subsequent runs always do the full live refresh.",
                        "default": true
                    },
                    "force_refresh": {
                        "title": "Force a live refresh",
                        "type": "boolean",
                        "description": "Skip the seed shortcut and always do a full live scrape, even on the first run.",
                        "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```