Etsy Bestsellers Scraper
3 days trial then $10.00/month - No credit card required now
Etsy Bestsellers Scraper
3 days trial then $10.00/month - No credit card required now
The Etsy Bestseller Scraper makes it easy to collect data on top-selling products from Etsy. Just enter the bestseller page URL and apply filters to extract product details like name, price, rating, and more. Perfect for market research, trend analysis, and discovering profitable products on Etsy.
You can access the Etsy Bestsellers Scraper programmatically from your own Python 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.
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 "urls": ["https://www.etsy.com/market/top_sellers?ref=pagination&page=2&order=price_asc&min=10000&max=100000"],
10 "max_retries_per_url": 2,
11 "proxy": { "useApifyProxy": False },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("ecomscrape/etsy-best-sellers-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startEtsy Bestsellers Scraper API in Python
The Apify API client for Python is the official library that allows you to use Etsy Bestsellers Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
ecomscrapeActor Metrics
2 monthly users
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>99% runs succeeded
Created in Jan 2025
Modified a day ago
