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Collectors · E-commerce

ASOS Scraper API in Python

Product search on ASOS — name, brand, price, was-price, colour, image. One POST from Python with query, rows back as JSON with 28 fields, $0.001 per delivered product. No proxies or parsers to maintain.

A Python requests snippet that posts {
A Python requests call to the asos_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/asos_search/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "query": "dress",
        "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("product_id"), row.get("product_code"), row.get("name"), row.get("brand"))
Python: one ASOS search run (Vestiti), printing product_id, product_code, name, brand

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 ASOS search collector
ParameterTypeRequiredMeaning
querystringyesWhat to search, e.g. "dress".
max_resultsintegerno (default 24)How many products to deliver at most (1–300). You pay only for delivered products.

Response fields

28 fields per product.

Fields of each row (product)
FieldTypeWhat it holds
rankinteger1-based position in ASOS's ordering for this response.
product_idstringASOS product id — the id that keys the /prd/ page.
product_codestring, nullableASOS internal product code (does not key the URL).
namestringProduct name.
brandstring, nullableBrand name.
colourstring, nullableColourway as ASOS states it — its own casing is inconsistent ("PINK", "Chocolate").
colour_way_idstring, nullableASOS colourway id (the #colourWayId fragment on the URL).
pricenumber, nullableCurrent price (USD).
price_textstring, nullableCurrent price as ASOS formats it ("$52.00").
original_pricenumber, nullableStruck-through was-price (USD); null when not reduced.
rrpnumber, nullableRecommended retail price (USD) when ASOS states one.
currencystringCurrency ASOS priced the row in — USD, from the US store the request pins. A run that comes back in anything else says so in the notes.
discount_pctinteger, nullablePercent off the was-price; null unless both prices are stated.
is_marked_downbooleanASOS's own markdown flag.
is_outletbooleanOutlet pricing.
is_selling_fastbooleanASOS's low-stock badge.
is_newbooleanASOS's "New in" flag.
is_sponsoredbooleanPaid placement (ASOS keeps these out of the product list; false on every organic row).
urlstring, nullableProduct URL.
imagestring, nullablePrimary product image.
imagesstring[]Gallery image URLs (main image first).
video_urlstring, nullableCatwalk video URL when the product has one.
lowest_price_30dnumber, nullableLowest price in the last 30 days when ASOS states it.
has_variant_coloursbooleanTrue when the product page offers other colours.
has_multiple_pricesbooleanTrue when sizes or variants are priced differently.
is_restocking_soonbooleanTrue when ASOS marks the product as restocking soon.
is_promotionbooleanTrue when the product is in a promotion.
other_colour_idsstring[]Product ids of the same style in other colours.

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/asos_search/run", headers=H,
                  json={**{"query":"dress","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
StatusMeaningBilled
400The input does not match the collector (payload.errors)No
401Missing or wrong API keyNo
402Balance and free credit do not cover the run: top upNo
422The input can never resolve; retrying the same input cannot helpNo
424The run failed at the source (blocked, timed out, layout changed); safe to retryNo
429Rate limit or a per-account brake; wait for Retry-AfterNo

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

Price

$0.001 per delivered product.

What ASOS search rows cost at list price
RowsCost
1$0.001
1,000$1.00
10,000$10.00

Up to 300 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 ASOS 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 300 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.