Collectors · E-commerce

Zalando Scraper API in Python

Fashion products from Zalando.it — brand, name, price, EU reference prices, discount, SKU, image. One POST from Python with query, rows back as JSON with 19 fields, $0.001 per delivered product. No proxies or parsers to maintain.

Get an API key See the collector

A Python requests snippet that posts { — A Python requests call to the zalando_search collector returns one dict per product, at $0.001 each.

First call

Install, call, read the rows.

pip install requests

The only dependency.

import os, requests

r = requests.post(
    "https://api.quanticdata.io/v1/scraper/collectors/zalando_search/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "query": "scarpe",
        "max_results": 24,
    },
    timeout=120,
)
r.raise_for_status()
run = r.json()["payload"]
print(run["count"], "rows,", run["cost"]["usd"], "USD")
for row in run["results"]:
    print(row.get("sku"), row.get("brand"), row.get("name"), row.get("price"))

Python: one Zalando product search run (Scarpe), printing sku, brand, name, price

The key comes from an environment variable, never from the code. The run answers in the same request when it finishes in time; payload.results holds the rows and payload.cost what they cost.

Request parameters

What the collector takes.

Input of the Zalando product search collector
Parameter	Type	Required	Meaning
`query`	string	yes	What to search on Zalando.it, e.g. "scarpe" or "nike air max".
`max_results`	integer	no (default 24)	How many products to deliver at most (1–240). You pay only for delivered products.

Response fields

19 fields per product.

Fields of each row (product)
Field	Type	What it holds
`rank`	integer	1-based position in this response.
`sku`	string, nullable	Zalando article SKU, e.g. "AD116D1S8-A13" (config id + colour), read from the product URL.
`brand`	string, nullable	Brand, e.g. "adidas Originals".
`name`	string	Product name including type and colourway.
`price`	number, nullable	Current price in EUR. When price_from is true this is the cheapest variant.
`price_text`	string, nullable	Price exactly as the card shows it, e.g. "da 71,99 €".
`price_from`	boolean	True for a "da" (from) price — the card spans variants priced differently.
`median_price`	number, nullable	Zalando's stated 30-day median price ("Prezzo mediano"). An EU-Omnibus reference, NOT a list price. Null when the card states none.
`median_discount_percent`	integer, nullable	Discount against median_price, as a positive percentage.
`lowest_price_30d`	number, nullable	Zalando's stated lowest price of the last 30 days. Null when the card states none.
`lowest_price_30d_discount_percent`	integer, nullable	Discount against lowest_price_30d, as a positive percentage.
`discount_is_max`	boolean	True when the card says "Fino a" (up to) — the discount applies to the cheapest variant, not to every size.
`image`	string, nullable	Packshot image URL.
`url`	string, nullable	Product page URL.
`badges`	string[]	Card flags as shown ("Bestseller", "Novità", "Promo"…).
`product_type`	string, nullable	Product type from the article name ("Sneakers basse").
`colour`	string, nullable	Colour from the article name.
`image_large`	string, nullable	Largest image rendition the card offers.
`image_alt`	string, nullable	Image description published with the card.

Add ?format=csv to the runs endpoint to get the same rows as CSV.

Long runs

Run in the background, then poll.

A run that needs more time can go to the background: send "async": true, get 202 with the run id, and poll the runs endpoint until the status is done. Reading a run is free.

import os, time, requests

H = {"Authorization": f"Bearer {os.environ['QD_API_KEY']}"}
r = requests.post("https://api.quanticdata.io/v1/scraper/collectors/zalando_search/run", headers=H,
                  json={**{"query":"scarpe","max_results":24}, "async": True}, timeout=30)
run_id = r.json()["payload"]["run_id"]
while True:
    run = requests.get(f"https://api.quanticdata.io/v1/scraper/collectors/runs/{run_id}", headers=H, timeout=30).json()["payload"]
    if run["status"] in ("done", "failed"):
        break
    time.sleep(5)
print(run["status"], run["count"])

Python: background run and polling

Errors

What can come back, and what is billed.

Collector run errors
Status	Meaning	Billed
`400`	The input does not match the collector (`payload.errors`)	No
`401`	Missing or wrong API key	No
`402`	Balance and free credit do not cover the run: top up	No
`422`	The input can never resolve; retrying the same input cannot help	No
`424`	The run failed at the source (blocked, timed out, layout changed); safe to retry	No
`429`	Rate limit or a per-account brake; wait for `Retry-After`	No

Only delivered rows are billed: a run that delivers nothing costs nothing.

Price

$0.001 per delivered product.

What Zalando product search rows cost at list price
Rows	Cost
1	$0.001
1,000	$1.00
10,000	$10.00

Up to 240 products per run; split larger jobs into several runs. The $2 free credit every month covers about 2,000 products. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.

Before you run it

Questions developers ask

Is there a free Zalando product search API?

Every account gets $2 of free usage each month, about 2,000 products of this collector at $0.001 each, with no card.

Do I have to handle proxies, retries or blocks?

No. The collector runs on our network and handles them; a run blocked at the source returns 424 and is not billed.

How many rows can one run return?

Up to 240 products per run (the max_results input, where the collector has one).

Can an AI agent run it?

Yes: the MCP server exposes it as the run_collector tool, with the same input and price. See the MCP server.

Run it on the free credit.

Create an API key, export it as QD_API_KEY and run the example. $0.001 per delivered product, no subscription.

Get an API key Zalando Scraper API