Pricing

Pay per usage

Furniture Resale Valuation Engine

Estimate local furniture resale ranges from verified sales with category, brand, collection, material, dimensions, age, condition, region, and delivery adjustments.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Khoa Nguyen

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

E-commerce

You can access the Furniture Resale Valuation Engine programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("kayhermes/154-furniture-resale-valuation-engine").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Furniture Resale Valuation Engine API in Python

The Apify API client for Python is the official library that allows you to use Furniture Resale Valuation Engine API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Furniture Resale Valuation Engine API in JavaScript

Furniture Resale Valuation Engine API through CLI

Furniture Resale Valuation Engine OpenAPI definition

Furniture Resale Valuation Engine API

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