Collectors · E-commerce
Nike Scraper API in Python
Nike.com search results — name, price, original price, colourway count and image per product. One POST from Python with query, rows back as JSON with 20 fields, $0.001 per delivered product. No proxies or parsers to maintain.

First call
Install, call, read the rows.
pip install requestsimport os, requests
r = requests.post(
"https://api.quanticdata.io/v1/scraper/collectors/nike_products/run",
headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
json={
"query": "running",
"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("id"), row.get("group_key"), row.get("product_id"), row.get("title"))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.
| Parameter | Type | Required | Meaning |
|---|---|---|---|
query | string | yes | What to search on nike.com, e.g. "running" or "air max 90". |
sort | string: relevance, price_low, price_high, newest | no (default relevance) | Result order (default relevance). |
country | string | no | ISO 3166-1 alpha-2 code — proxy exit geo and Google locale (gl). Omit for the default pool. |
max_results | integer | no (default 24) | How many products to deliver at most (1–240). You pay only for delivered products. |
Response fields
20 fields per product.
| Field | Type | What it holds |
|---|---|---|
rank | integer | 1-based position in Nike's order for this response. |
id | string, nullable | Nike style-colour code, e.g. HM6804-300. Unique per row. |
group_key | string, nullable | Nike's style key, as it appears in the PDP URL. NOT unique — different products can share one. |
product_id | string, nullable | Nike's global product id (UUID). |
title | string | Product name, e.g. "Nike Vomero 18". Occasionally just the brand, with the full name in subtitle. |
subtitle | string, nullable | Nike's category line, e.g. "Women's Road Running Shoes". |
product_type | string, nullable | FOOTWEAR, APPAREL or EQUIPMENT. |
price | number, nullable | Current price of the displayed colourway. |
original_price | number, nullable | Pre-discount price; equals price when not reduced. |
discount_percent | integer, nullable | Nike's own discount figure, rounded down — a $20 item at $19.97 reports 0. Use on_sale for the reliable flag. |
on_sale | boolean | True when price is below original_price. |
currency | string, nullable | Always USD on the US catalogue. |
colour_count | integer | Colourways Nike groups under this style. Not present in the markup — the card shows at most five swatches. |
colour | string, nullable | Displayed colourway's simple colour, e.g. "Green". |
colour_description | string, nullable | Full colourway name, e.g. "Barely Green/Steam/Light Silver/Metallic Silver". |
badge | string, nullable | Card badge when shown: Just In, Best Seller, Recycled Materials, Customize. |
customizable | boolean | True for Nike By You customizer entries. |
new_until | string, nullable | ISO timestamp until which Nike badges the product as new. Delivered as Nike states it; it was null on every product of the captured page, so expect it mostly empty. |
image | string, nullable | Displayed colourway's product image. |
url | string, nullable | Product page URL. |
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/nike_products/run", headers=H,
json={**{"query":"running","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"])Errors
What can come back, and what is billed.
| 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.
| 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 Nike 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.