# Upwork AI & machine learning jobs of the last 12 months

**Use case:** 

Every posting of the last 12 months in the AI & Machine Learning and AI Apps & Integration subcategories, with the full description, budget, skills and client history.

## Input

```json
{
  "period": "12m",
  "categories": [
    "web-mobile-software-dev"
  ],
  "subcategories": [
    "AI & Machine Learning",
    "AI Apps & Integration"
  ],
  "skills": [
    "shopify"
  ],
  "estimate": false
}
```

## Output

```json
{
  "id": {
    "label": "Job id",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "subcategory": {
    "label": "Subcategory",
    "format": "string"
  },
  "skills": {
    "label": "Skills",
    "format": "array"
  },
  "jobType": {
    "label": "Job type",
    "format": "string"
  },
  "fixedPrice": {
    "label": "Fixed price (USD)",
    "format": "number"
  },
  "hourlyMin": {
    "label": "Hourly from (USD)",
    "format": "number"
  },
  "hourlyMax": {
    "label": "Hourly to (USD)",
    "format": "number"
  },
  "experienceLevel": {
    "label": "Experience level",
    "format": "string"
  },
  "duration": {
    "label": "Duration",
    "format": "string"
  },
  "workload": {
    "label": "Workload",
    "format": "string"
  },
  "contractToHire": {
    "label": "Contract to hire",
    "format": "boolean"
  },
  "englishLevel": {
    "label": "English level",
    "format": "string"
  },
  "clientCountry": {
    "label": "Client country",
    "format": "string"
  },
  "clientPaymentVerified": {
    "label": "Payment verified",
    "format": "boolean"
  },
  "clientMemberSince": {
    "label": "Client member since",
    "format": "string"
  },
  "clientTotalSpentAtPosting": {
    "label": "Client spent (USD)",
    "format": "number"
  },
  "clientHiresAtPosting": {
    "label": "Client hires",
    "format": "integer"
  },
  "clientJobsPostedAtPosting": {
    "label": "Client jobs posted",
    "format": "integer"
  },
  "clientRatingAtPosting": {
    "label": "Client rating",
    "format": "number"
  },
  "clientReviewsAtPosting": {
    "label": "Client reviews",
    "format": "integer"
  },
  "clientCompanySize": {
    "label": "Company size",
    "format": "integer"
  },
  "clientIndustry": {
    "label": "Client industry",
    "format": "string"
  },
  "clientHireRateAtPosting": {
    "label": "Client hire rate (%)",
    "format": "number"
  },
  "clientAvgHourlyRatePaidAtPosting": {
    "label": "Client avg hourly paid (USD)",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Upwork Jobs History — 3M+ Postings Since 2024, by Period, Skill](https://apify.com/hyperbach/upwork-jobs-history.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hyperbach/upwork-jobs-history.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/hyperbach/upwork-jobs-history.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).