# Upwork Job Intel - NO COOKIES - Managed Gateway (`teamkamkod/upwork-job-intel`) Actor

- **URL**: https://apify.com/teamkamkod/upwork-job-intel.md
- **Developed by:** [Team Kamkod](https://apify.com/teamkamkod) (community)
- **Categories:** Jobs
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.60 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Upwork Job Intel — Custom Gateway

Fresh Upwork job postings via a **custom gateway**: no cookie, no login, no
residential proxy required from the user. Search by keyword with optional country / budget /
client-hires / duration / workload filters, sorted by recency, paginated up to 300 results.

Each job returns: `job_id`, `title`, canonical `url`, `posted_label` (+ minutes), budget type &
amount (`est_budget_usd`, hourly low/high), experience level, and the visible card `snippet`.

### Inputs

| Field | Req | Description |
|---|---|---|
| `query` | ✅ | keywords (e.g. `hubspot crm`) |
| `maxResults` | – | default 100 · cap 300 |
| `budget` | – | `0-99`, `100-499`, `500-999`, `1000-4999`, `5000-`, `1-30000` |
| `clientHires` | – | `0`, `1-9`, `10-` |
| `duration` | – | `week`, `month`, `semester`, `ongoing` |
| `workload` | – | `as_needed`, `part_time`, `full_time` |
| `contractToHire` | – | boolean |
| `hourlyRate` | – | `20-50` (optional range) |
| `countries` | – | multiselect ISO → Upwork names (US, CA, GB, IE, AU, NZ + CH/NO/IS + UE27) ; envoyer `location=Country1,Country2` |

### Notes / limits

- Egress runs through the publisher's custom gateway, included in the event pricing.
- Country filter exposed (v1.1): up to N countries per run; each country adds its own
  location parameter to the search URLs.
- Job cards only — detail pages are not fetched; open the `url` for full description & proposals.
- Upwork may at any time challenge the gateway's IP range; availability depends on their tolerance.

# Actor input Schema

## `query` (type: `string`):

Keywords searched on Upwork job postings (e.g. hubspot crm, web scraping, shopify).

## `maxResults` (type: `integer`):

Maximum number of jobs to return (default 100, hard cap 300 = 6 pages).

## `budget` (type: `array`):

Fixed-price budget buckets, Upwork format. Accepted: 0-99, 100-499, 500-999, 1000-4999, 5000-, 1-30000.

## `clientHires` (type: `array`):

Number of hires the client made. Accepted: 0, 1-9, 10-.

## `duration` (type: `array`):

Project duration. Accepted: week, month, semester, ongoing.

## `workload` (type: `array`):

Accepted: as\_needed, part\_time, full\_time.

## `contractToHire` (type: `boolean`):

Only jobs that can convert to a full-time contract.

## `hourlyRate` (type: `string`):

Optional, format low-high without $, e.g. 20-50.

## `countries` (type: `array`):

Optional country filter (client location). One or more countries; sent as Upwork's location parameter (comma-separated names). Leave empty for worldwide.

## Actor input object example

```json
{
  "maxResults": 100,
  "budget": [
    "500-999",
    "1000-4999"
  ],
  "clientHires": [
    "1-9",
    "10-"
  ],
  "duration": [
    "ongoing"
  ],
  "workload": [],
  "contractToHire": false
}
```

# Actor output Schema

## `results` (type: `string`):

Every matched job posting as one JSON row.

# 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 = {
    "query": "",
    "budget": [
        "500-999",
        "1000-4999"
    ],
    "clientHires": [
        "1-9",
        "10-"
    ],
    "duration": [
        "ongoing"
    ],
    "workload": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("teamkamkod/upwork-job-intel").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 = {
    "query": "",
    "budget": [
        "500-999",
        "1000-4999",
    ],
    "clientHires": [
        "1-9",
        "10-",
    ],
    "duration": ["ongoing"],
    "workload": [],
}

# Run the Actor and wait for it to finish
run = client.actor("teamkamkod/upwork-job-intel").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": "",
  "budget": [
    "500-999",
    "1000-4999"
  ],
  "clientHires": [
    "1-9",
    "10-"
  ],
  "duration": [
    "ongoing"
  ],
  "workload": []
}' |
apify call teamkamkod/upwork-job-intel --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,teamkamkod/upwork-job-intel"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/0eiANyISNlK1u4Cly/builds/8HyNiDIkWj7xVgal0/openapi.json