Collectors · E-commerce

Walmart scraper API in Python

Walmart.com search results — price, rating, seller and sponsored flag per product. One POST from Python with query, rows back as JSON with 25 fields, $0.002 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 walmart_search collector returns one dict per product, 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/walmart_search/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "query": "coffee maker",
        "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("item_id"), row.get("title"), row.get("brand"), row.get("url"))

Python: one Walmart search run (Best match), printing item_id, title, brand, url

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 Walmart search collector
Parameter	Type	Required	Meaning
`query`	string	yes	What to search, e.g. "coffee maker".
`sort`	string: `best_match`, `price_low`, `price_high`, `best_seller`, `rating`	no (default best_match)	Result order (default best match).
`max_results`	integer	no (default 20)	How many products to deliver at most (1–100). You pay only for delivered products.

Response fields

25 fields per product.

Fields of each row (product)
Field	Type	What it holds
`rank`	integer	1-based position across the merged pages.
`page`	integer	Search page the row came from.
`item_id`	string	Walmart US item id.
`title`	string	Product title.
`brand`	string, nullable	Brand when the payload carries it.
`url`	string, nullable	Clean product URL.
`price`	string, nullable	Current price as shown (e.g. $29.99).
`price_value`	number, nullable	Numeric current price.
`list_price`	string, nullable	Struck-through was-price when discounted.
`currency`	string	Always USD.
`rating`	number, nullable	Average star rating (1–5).
`reviews`	integer, nullable	Review count.
`seller`	string, nullable	Seller name (Walmart or marketplace).
`sponsored`	boolean	True for paid placements.
`availability`	string, nullable	Stock line when shown.
`image`	string, nullable	Thumbnail URL.
`in_stock`	boolean, nullable	True when Walmart lists the item as in stock.
`seller_id`	string, nullable	Walmart seller id.
`offer_id`	string, nullable	Offer id of the displayed price.
`product_type`	string, nullable	Walmart catalog product type ("Toaster Ovens").
`has_variants`	boolean	True when the item has variants (size, colour…).
`condition`	string, nullable	New, Restored, Pre-owned or Open box.
`badges`	string[]	Card badges ("Best seller", "100+ bought since yesterday"…).
`fulfillment`	string[]	Fulfilment options offered (delivery, pickup, shipping).
`image_large`	string, nullable	Full-size image 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/walmart_search/run", headers=H,
                  json={**{"query":"coffee maker","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 product.

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

Up to 100 products per run; split larger jobs into several runs. The $2 free credit every month covers about 1,000 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 Walmart search API?

Every account gets $2 of free usage each month, about 1,000 products 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 100 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. $0.002 per delivered product, no subscription.

Get an API key Walmart scraper API