# OfferUp Fresh Listing + Price Change Monitor (`delta_tools/offerup-fresh-listing-monitor`) Actor

Watch OfferUp searches and get alerted only when something changes: new listings, price drops, edited listings, and removed listings. Run it on a schedule — every run pushes only the fresh changes to the dataset, with zero duplicates across runs. No OfferUp login needed.

- **URL**: https://apify.com/delta\_tools/offerup-fresh-listing-monitor.md
- **Developed by:** [Delta Tools](https://apify.com/delta_tools) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 listing changes

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?

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

## OfferUp Fresh Listing + Price Change Monitor

Stop re-scrolling the same OfferUp results. This Actor watches your OfferUp searches and reports **only what changed** since the last run:

- **new** — listings that just appeared
- **price\_drop / price\_increase** — with old price and drop %
- **updated** — title or condition edited
- **removed** — listings that disappeared (sold or taken down)

Run it on a schedule (e.g. every hour via Apify Scheduler) and every run pushes only the fresh changes to the dataset. No duplicates, no noise.

### How it works

1. You give it searches: keyword + ZIP code (or lat/lon) + radius.
2. Each run fetches the current top listings and diffs them against the previous run's snapshot (stored automatically).
3. Only changes are pushed to the dataset. A run with no changes pushes nothing — and you are only charged per reported change.

### Input example

```json
{
  "searches": [
    {"query": "iphone 15", "zipCode": "11215", "radiusMiles": 25, "maxListings": 50},
    {"query": "ps5", "zipCode": "10001", "maxPrice": 400}
  ],
  "stateKey": "my-deals",
  "detectRemoved": true
}
```

Tip: use a different `stateKey` per schedule if you run several monitors, so their memories don't mix.

### Output example

```json
{
  "changeType": "price_drop",
  "searchQuery": "iphone 15",
  "listingId": "97e7ab63-92d8-3068-84e0-70b57fa448a2",
  "title": "iPhone 15 128GB Factory Unlocked",
  "price": 480,
  "oldPrice": 550,
  "priceDropPercent": 12.7,
  "location": "The Bronx, NY",
  "url": "https://offerup.com/item/detail/97e7ab63-92d8-3068-84e0-70b57fa448a2",
  "detectedAt": "2026-09-17T03:10:00+00:00"
}
```

### Pricing

Pay per event: you pay a small fee **per change reported** (`listing-change` event), plus a tiny per-run start fee. Runs with zero changes cost almost nothing. See the Pricing tab for current rates.

### Notes

- No OfferUp login needed. No browser, no proxies — fast and cheap to run.
- Removed-listing detection waits for 2 consecutive misses before reporting, to avoid false alarms when listings shift in the results window. Raise `maxListings` for more reliable removal detection.
- Respects OfferUp's public search API with light request volume.

# Actor input Schema

## `detectRemoved` (type: `boolean`):

Report listings that disappeared (sold/removed). Needs 2 consecutive misses to avoid false alarms.

## `minPriceDropPercent` (type: `number`):

Ignore price drops smaller than this percent. 0 reports every price change.

## `reportInitialAsNew` (type: `boolean`):

On the very first run there is no baseline, so every listing is reported as 'new'. Turn off to silently build the baseline instead.

## `searches` (type: `array`):

One entry per OfferUp search you want to watch (keyword + location).

## `stateKey` (type: `string`):

Namespace for this monitor's memory. Use a different key per schedule if you run several monitors.

## Actor input object example

```json
{
  "detectRemoved": true,
  "minPriceDropPercent": 0,
  "reportInitialAsNew": true,
  "stateKey": "default"
}
```

# Actor output Schema

## `changeType` (type: `string`):

What changed about this listing since the last run: new, price\_drop, price\_increase, updated, or removed.

## `condition` (type: `string`):

Listing condition as shown on OfferUp.

## `detectedAt` (type: `string`):

When this change was detected (ISO 8601, UTC).

## `imageUrl` (type: `string`):

Listing photo URL.

## `listingId` (type: `string`):

OfferUp listing ID.

## `location` (type: `string`):

Seller location as shown on the listing.

## `oldPrice` (type: `string`):

Previous price, for price changes.

## `oldTitle` (type: `string`):

Previous title, for edited listings.

## `price` (type: `string`):

Current price in USD.

## `priceDropPercent` (type: `string`):

Percentage the price dropped (price\_drop events).

## `searchQuery` (type: `string`):

The search this change was detected from.

## `title` (type: `string`):

Listing title.

## `url` (type: `string`):

Direct link to the listing on OfferUp.

# 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("delta_tools/offerup-fresh-listing-monitor").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("delta_tools/offerup-fresh-listing-monitor").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 '{}' |
apify call delta_tools/offerup-fresh-listing-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,delta_tools/offerup-fresh-listing-monitor"
        }
    }
}
```

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/otTuKPk6KmZv89hdC/builds/9ktfdNwniZTY4aCW9/openapi.json