What is the cheapest API that works on Etsy?

Sort the ranked table by cost per successful request and read down to the first provider still clearing Etsy this run. Lower priced APIs further down often fail too many requests for their sticker price to be meaningful.

Best Web Scraping APIs for Etsy: July 2026 Benchmark

Name: etsy.com Web Scraping API Benchmark
Creator: Scrapeway

Benchmarks run by the Scrapeway team · Last updated: August 14, 2026 · How we benchmark

Scrapfly is the best web scraping API for Etsy, with a 99% success rate across 8 web scraping APIs benchmarked against live Etsy pages in July 2026. 3 of the 8 cleared Etsy reliably enough to recommend.

Etsy is protected by DataDome, so most scraping APIs either fail it or pay for it in speed and cost. The benchmark is refreshed twice a month, with no affiliate links and no sponsors.

Ranked by live Etsy success rate, best first:

🥇 Scrapfly: 99% success on Etsy
🥈 Firecrawl: 93% success on Etsy
🥉 WebScrapingAPI: 91% success on Etsy

All 7 web scraping APIs for Etsy, ranked

#	Service	Success	Speed	Cost/1k		Code
1 🥇	Scrapfly	99%	5.1s	$3.89	(237) ★ 4.9	code
2 🥈	Firecrawl	93%	5.2s	$6.33	n/a	code
3 🥉	WebScrapingAPI	91%	34.8s	$2.71	n/a	code
4	Scraperapi	90%	11.3s	$4.9	(62) ★ 4.6	code
5	Zenrows	88%	16.0s	$6.9	(103) ★ 4.8	code
6	Scrapingant	37%	52.2s	$1.9	n/a	code
7	Scrapingbee	24%	4.2s	$3.31	(137) ★ 4.9	code

Data range Jul 31 to Aug 14

Ranking history: web scraping APIs for Etsy over time

Etsy target ranking history

The 7 web scraping APIs for Etsy, reviewed

1. Scrapfly: 99% success on Etsy

On Etsy	Speed	Cost/1k	Overall	From
99%	5.1s	$3.89	#1 of 7	$30/mo

Etsy puts DataDome in front of its listing, shop, and search pages, and most listing data sits in the server rendered HTML and embedded JSON. Scrapfly cleared 99% here by generating a genuine device fingerprint and passing DataDome's checks, so it reaches the listing page instead of the CAPTCHA interstitial. Because it only bills for successful requests, the block and challenge pages Etsy returns as a 200 don't quietly run up the cost.

At $3.89 per 1,000 successful requests and 5.1s average response time, the figures are strong for an API capable of clearing DataDome. The 99% success rate is the headline, and the ranking history above shows how that rate has held across previous runs.

Pros:

Highest success rate in the test, clearing DataDome's device fingerprinting
Only charges for successful scrapes, so CAPTCHA pages returned as 200s cost nothing
One asp flag plus residential proxies handles Etsy with little tuning
First class SDKs for Python, TypeScript, Go, and Rust, plus a Scrapy extension

Cons:

Credit cost per request rises once ASP, JavaScript rendering, or residential proxies are enabled
The entry (Discovery) plan caps concurrency at 5, so high volume listing crawls need a higher tier
The free tier is a single batch of 1,000 credits, enough to prototype but not to benchmark at volume

2. Firecrawl: 93% success on Etsy

On Etsy	Speed	Cost/1k	Overall	From
93%	5.2s	$6.33	#2 of 7	$16/mo

Firecrawl's draw on Etsy is its output format. It returns structured markdown rather than raw HTML, so a pipeline feeding an LLM or RAG system skips the parsing step on Etsy's listing markup. Rendering a full browser on every page and generating that markdown carries a cost and latency premium over lighter, HTTP based options, so that saving has to be worth the premium for your use case. On Etsy it cleared 93% this run.

Pros:

Returns markdown built for LLM pipelines, saving a parsing step for AI and RAG pipelines
Runs a real browser, which covers pages that need JavaScript execution

Cons:

Cost is the top user complaint in reviews
Renders a full browser on every page, which adds latency

3. WebScrapingAPI: 91% success on Etsy

On Etsy	Speed	Cost/1k	Overall	From
91%	34.8s	$2.71	#3 of 7	$19/mo

WebScrapingAPI covers a broad range of language SDKs behind a simple REST interface, so it drops into most stacks without a client library, and it supports async and batch submission for queued jobs. The scorecard carries this run's speed and cost. On Etsy it cleared 91% this run.

Pros:

Broad language SDK range behind a simple REST interface
Async and batch submission for queued jobs

Cons:

DataDome's block pages return as 200s, so it's easy to keep paying unless you check content
Support tickets often go unanswered for days, per user reviews

4. Scraperapi: 90% success on Etsy

On Etsy	Speed	Cost/1k	Overall	From
90%	11.3s	$4.90	#4 of 7	$49/mo

Scraperapi is built around a fast request path. When it clears a request it tends to return quickly, which suits latency sensitive lookups that can absorb retries. Etsy's DataDome layer has to be cleared before the listing JSON is reachable, and the scorecard carries how it did on that this run. On Etsy it cleared 90% this run.

Pros:

Fast when it clears, with a simple integration
Broad language SDK support

Cons:

Login required flows and form filling are off limits
Geotargeting is gated by plan (US and EU only until the Business tier)

5. Zenrows: 88% success on Etsy

On Etsy	Speed	Cost/1k	Overall	From
88%	16.0s	$6.90	#5 of 7	$69/mo

Zenrows is a general purpose scraping API with JavaScript rendering and session support, positioned as a generalist rather than a specialist on any single axis. It renders a real browser and supports sessions, and on Etsy it cleared 88% this run. It fits when you want one general purpose tool for Etsy plus other targets rather than optimizing hard for cost, speed, or maximum reliability.

Pros:

Real browser rendering and session support for targets that need JavaScript execution
One general purpose tool spans Etsy and other targets

Cons:

Cost climbs on heavy or large scale usage, the recurring user complaint
Premium proxy geographic coverage is unclear

6. Scrapingant: 37% success on Etsy

On Etsy	Speed	Cost/1k	Overall	From
37%	52.2s	$1.90	#6 of 7	$19/mo

Scrapingant bundles JavaScript rendering and session support at a low entry price, with a smaller feature surface than the larger providers. On Etsy it cleared 37% this run.

Pros:

Low sticker price
JavaScript rendering included

Cons:

Smaller feature surface and fewer integration options than the larger providers
Billing covers requests that return block or challenge pages, so failures still cost credits
Small provider with a thin public track record

7. Scrapingbee: 24% success on Etsy

On Etsy	Speed	Cost/1k	Overall	From
24%	4.2s	$3.31	#7 of 7	$49/mo

Scrapingbee is fast and cheap per request, with JavaScript rendering for lighter targets. Etsy is a hard case for it, because DataDome scores the device fingerprint and behavior on every request, and every request that gets challenged partway through still costs credits. On Etsy it cleared 24% this run.

Pros:

Fast response times
Low sticker cost per request

Cons:

DataDome's per request scoring penalizes the partial signals an HTTP first approach tends to produce
Credits burn quickly once JavaScript rendering or premium proxies are enabled
No plan tier between the small and large options

COMPARISON

About scraping Etsy

Etsy is a marketplace for handmade, vintage, and craft goods, and the data people scrape from it is mostly commercial. That means listing titles, prices, shipping and availability, shop and seller details, ratings and review counts, favorites, and search result and category rankings. Most of this lives on listing pages (the /listing/{id} URLs), shop pages, and search results.

Etsy listing pages are largely server rendered, so a plain HTTP request often returns the core listing fields, with additional structured data available in embedded JSON and JSON-LD blocks in the page. A headless browser matters more for getting past the antibot layer than for rendering the content itself, and search and shop pages can paginate through secondary requests.

HTTP ANALYSIS

Etsy is protected by DataDome. See the DataDome benchmark page for how DataDome detects bots. The practical detail for scraping Etsy is that its blocks and CAPTCHA interstitials often come back as a 200 rather than a hard error, so success has to be measured on response content, not status codes.

etsy_scraper.py

import json
from parsel import Selector

# install using `pip install scrapfly-sdk`
from scrapfly import ScrapflyClient, ScrapeConfig, ScrapeApiResponse

# create an API client instance
client = ScrapflyClient(key="YOUR API KEY")

# create scrape function that returns HTML parser for a given URL
def scrape(url: str, country: str="", render_js=False, headers: dict=None) -> Selector:
    api_result = client.scrape(ScrapeConfig(
            url=url,
            headers=headers,
            asp=True,
            render_js=render_js or False,
            cache=False,
            cache_ttl=900,
            country=country or 'US',
            method='GET',
    ))
    return api_result.selector

url = "https://www.etsy.com/sg-en/listing/1336771386/python-cheat-sheet-coasters-made-from-a"

# scrape through US geo-location as etsy is blocked in many countries
selector = scrape(url, country="US")

# etsy has product data as JSON in a script element
script = selector.xpath("//script[contains(text(),'offers')]/text()").get()
data = json.loads(script)
from pprint import pprint
pprint(pprint(data))