# Upwork New Job Lead & High-Budget Delta Monitor (`titan_coder/upwork-new-job-delta`) Actor

Zero-browser, instant job feed monitor for Upwork. Uses official RSS feeds to alert agencies and freelancers the second a matching high-value job is posted. Be the first proposal submitted every time.

- **URL**: https://apify.com/titan_coder/upwork-new-job-delta.md
- **Developed by:** [Radu Furtuna](https://apify.com/titan_coder) (community)
- **Categories:** MCP servers, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Upwork New Job Lead & High-Budget Delta Monitor (Save 95%)

> 🛑 **Stop losing high-value Upwork contracts because you applied an hour too late.** Headless browsers get blocked by Cloudflare and are too slow for real-time bidding.\
> ⚡ **The Smart Delta Solution:** **Upwork New Job Lead & High-Budget Delta Monitor** consumes official search RSS feeds with zero browser latency (executing in 1–2s), tracks seen job IDs in persistent memory, and alerts your team **ONLY** when fresh jobs matching your skills and budget criteria are published — **saving 95% on compute and giving you the first-proposal advantage.**

***

### ⚡ Why Use This Actor?

- **Zero-Browser, 100% Reliable:** Consumes official RSS feeds. Bypasses Cloudflare browser blocks entirely. Executes in **1 to 2 seconds**.
- **Smart Delta Memory:** Deduplicates automatically using persistent Key-Value storage. Never alerts twice on the same job.
- **Pay-Per-Event (PPE):** Runs where no new jobs match your criteria cost $0 in event fees.
- **Agency Advantage:** Direct webhook integration with Slack, Discord, or Telegram so your team can bid first.

***

### 🔍 Tracked Fields

- `query`: Matching search keyword / skill
- `jobId`: Unique Upwork job identifier
- `title`: Job post title
- `budget`: Fixed price budget (if specified)
- `hourlyRate`: Hourly rate range (if specified)
- `jobUrl`: Direct proposal URL
- `publishedAt`: Publication timestamp
- `detectedAt`: Detection timestamp

***

### ⚙️ Input Parameters

| Parameter | Type | Default | Description |
|---|---|:---:|---|
| `query` | String | `python` | Skill or keywords to search. |
| `minBudget` | Integer | `0` | Minimum fixed budget in USD (0 for any budget). |
| `maxJobs` | Integer | `10` | Max recent job postings to inspect. |
| `resetBaseline` | Boolean | `false` | Reset memory and capture a fresh snapshot. |

***

### 🏷️ Keywords & Search Tags

`#upwork #freelance-jobs #proposal-alerts #lead-generation #agency-growth #job-scraper #instant-alerts #remote-work #ai-agent`

# Actor input Schema

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

Keywords or skills to match (e.g. 'python', 'react', 'scraping', 'ai engineer').

## `minBudget` (type: `integer`):

Filter out jobs with fixed price below this threshold (0 for no filter).

## `maxJobs` (type: `integer`):

Max recent job postings to evaluate per check.

## `resetBaseline` (type: `boolean`):

Clear recorded jobs and initialize a fresh baseline.

## Actor input object example

```json
{
  "query": "python",
  "minBudget": 0,
  "maxJobs": 10,
  "resetBaseline": false
}
```

# Actor output Schema

## `deltas` (type: `string`):

Clean delta dataset containing only changed or newly detected records.

# 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": "python",
    "minBudget": 0,
    "maxJobs": 10,
    "resetBaseline": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("titan_coder/upwork-new-job-delta").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": "python",
    "minBudget": 0,
    "maxJobs": 10,
    "resetBaseline": False,
}

# Run the Actor and wait for it to finish
run = client.actor("titan_coder/upwork-new-job-delta").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": "python",
  "minBudget": 0,
  "maxJobs": 10,
  "resetBaseline": false
}' |
apify call titan_coder/upwork-new-job-delta --silent --output-dataset

```

## MCP server setup

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

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/jfNZyvJZqDVWftezy/builds/dVE3nCvHZi4j1n8up/openapi.json