Collectors · E-commerce

eBay Product API in Python

Full detail per eBay item id — price, condition, seller, item specifics, photos. One POST from Python with items, rows back as JSON with 31 fields, $0.006 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 ebay_product collector returns one dict per product, at $0.006 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/ebay_product/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "items": ["158070397228"],
        "max_results": 1,
    },
    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("item_id"), row.get("url"), row.get("title"), row.get("subtitle"))

Python: one eBay item details run (Un item), printing item_id, url, title, subtitle

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 eBay item details collector
Parameter	Type	Required	Meaning
`items`	array	yes	eBay item ids or /itm/ URLs (ebay_search returns both).
`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 5)	How many products to deliver at most (1–20). You pay only for delivered products.

Response fields

31 fields per product.

Fields of each row (product)
Field	Type	What it holds
`item_id`	string	eBay item id.
`url`	string	Item URL.
`title`	string	Item title.
`subtitle`	string, nullable	Subtitle when present.
`price`	string, nullable	Price as shown ("US $98.00").
`price_value`	number, nullable	Parsed price.
`currency`	string, nullable	Price currency (best-effort).
`condition`	string, nullable	Item condition.
`seller`	string, nullable	Seller name.
`seller_feedback_pct`	number, nullable	Seller positive feedback %.
`availability`	string, nullable	Quantity/availability line.
`images`	string[]	Item photos (up to 12).
`specifics`	object	Item specifics (label → value).
`categories`	string[]	Category breadcrumb.
`brand`	string, nullable	Brand.
`list_price_value`	number, nullable	List price when the seller states one.
`discount_percent`	integer, nullable	Discount off the list price as shown.
`in_stock`	boolean, nullable	Whether the listing can be bought now.
`quantity_available`	integer, nullable	Units available when shown.
`sold_count`	integer, nullable	Units sold.
`shipping`	string, nullable	Shipping line.
`shipping_cost`	number, nullable	Shipping cost to the US (0 when free).
`item_location`	string, nullable	Where the item is located.
`delivery`	string, nullable	Delivery estimate line.
`returns`	string, nullable	Returns policy line.
`listed_at`	string, nullable	When the listing started (ISO 8601).
`seller_feedback_count`	integer, nullable	Seller feedback score.
`seller_items_sold`	string, nullable	Seller's items sold as shown ("12.9M").
`seller_joined`	string, nullable	Seller's join month ("Sep 2016").
`gtin`	string, nullable	GTIN/UPC/EAN when published.
`mpn`	string, nullable	Manufacturer part number when published.

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/ebay_product/run", headers=H,
                  json={**{"items":["158070397228"],"max_results":1}, "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

$0.006 per delivered product.

What eBay item details rows cost at list price
Rows	Cost
1	$0.006
1,000	$6.00
10,000	$60.00

Up to 20 products per run; split larger jobs into several runs. The $2 free credit every month covers about 333 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 eBay item details API?

Every account gets $2 of free usage each month, about 333 products of this collector at $0.006 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 20 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. $0.006 per delivered product, no subscription.

Get an API key eBay Product API