Collectors · E-commerce

Price comparison API in Python

All seller offers for one Google Shopping product — seller, price, total, link. One POST from Python with the input, rows back as JSON with 20 fields, $0.002 per delivered offer. 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 product_offers collector returns one dict per offer, at $0.002 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/product_offers/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "query": "Sony WH-1000XM5",
        "country": "us",
        "max_results": 20,
    },
    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("seller"), row.get("price"), row.get("price_value"), row.get("currency"))

Python: one Product offers run (By query), printing seller, price, price_value, currency

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 Product offers collector
Parameter	Type	Required	Meaning
`product_id`	string	no	Google Shopping product id (from the Google Shopping collector).
`query`	string	no	Alternative to product_id: resolved to the first shopping result.
`country`	string	no	ISO 3166-1 alpha-2 code — proxy exit geo and Google locale (gl). Omit for the default pool.
`lang`	string	no	Interface language (hl), e.g. en, it, de.
`max_results`	integer	no (default 20)	How many offers to deliver at most (1–50). You pay only for delivered offers.

Response fields

20 fields per offer.

Fields of each row (offer)
Field	Type	What it holds
`rank`	integer	1-based offer position.
`seller`	string, nullable	Merchant.
`price`	string, nullable	Price as shown.
`price_value`	number, nullable	Numeric price.
`currency`	string, nullable	Currency.
`total_price`	string, nullable	Total incl. shipping/tax when shown.
`link`	string, nullable	Offer link.
`product_id`	string	Google product id.
`product_title`	string, nullable	Product title.
`product_rating`	number, nullable	Product rating.
`product_reviews`	integer, nullable	Product review count.
`typical_prices`	string, nullable	Google's typical price range.
`old_price`	string, nullable	Previous (struck-through) price when discounted.
`discount`	string, nullable	Discount badge as shown ("25% off").
`offer_title`	string, nullable	The seller's own listing title.
`stock`	string, nullable	Stock line as shown ("In stock online").
`delivery`	string, nullable	Delivery line as shown.
`seller_rating`	number, nullable	Seller rating out of 5 when shown.
`source`	string	Where the offers come from: bing_shopping (query) or google_shopping (product_id).
`merchant_url`	string, nullable	The merchant's product page with ad redirects unwrapped and click/campaign parameters removed — the URL to store and compare on.

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/product_offers/run", headers=H,
                  json={**{"query":"Sony WH-1000XM5","country":"us","max_results":20}, "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

$0.002 per delivered offer.

What Product offers rows cost at list price
Rows	Cost
1	$0.002
1,000	$2.00
10,000	$20.00

Up to 50 offers per run; split larger jobs into several runs. The $2 free credit every month covers about 1,000 offers. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.

Before you run it

Questions developers ask

Is there a free Product offers API?

Every account gets $2 of free usage each month, about 1,000 offers of this collector at $0.002 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 50 offers 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. $0.002 per delivered offer, no subscription.

Get an API key Price comparison API