Use Amazon Third-Party Seller Profile & Storefront Catalog with Python

Look up an Amazon third-party seller's public business details, feedback history and ratings histogram, plus every product listed in their storefront, by seller ID or product URL.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "includeBusinessDetails": true,
  "marketplace": "US",
  "maxProductPages": 1,
  "mode": "BOTH",
  "productUrls": [],
  "proxyCountry": "AUTO",
  "sellerIds": [
    "A294P4X9EWVXLJ"
  ],
  "sortBy": "",
  "useResidentialProxy": false
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	PROFILE fetches only the seller profile page. PRODUCTS fetches only the seller's storefront catalog. BOTH fetches both for every resolved seller.
`sellerIds`	array	optional	Amazon seller/merchant IDs (e.g. A294P4X9EWVXLJ). Accepts bare IDs or IDs embedded in a seller/storefront URL.
`productUrls`	array	optional	Amazon product page URLs (e.g. https://www.amazon.com/dp/ASIN). The seller ID is auto-derived from each product's buy-box "sold by" seller link.
`marketplace`	string	optional	Amazon marketplace/domain to scrape sellers on. Overrides the domain inferred from productUrls when both are provided.
`maxProductPages`	integer	optional	Maximum number of /s?me= storefront pages to fetch per seller (mode=PRODUCTS or BOTH). Each page holds up to ~16 products.
`includeBusinessDetails`	boolean	optional	If true, includes the seller's publicly-displayed legal business name, business address, and customer-service phone number (data Amazon itself shows on the public seller profile page -- not customer-level personal data).
`sortBy`	string	optional	Sort order for the seller's storefront catalog (mode=PRODUCTS or BOTH), matching Amazon's own storefront "Sort by" dropdown. Leave blank for Amazon's default (Featured).
`useResidentialProxy`	boolean	optional	By default the actor uses datacenter (AUTO) proxies with a homepage-priming technique that reliably bypasses Amazon's cold-navigation block, escalating to residential proxies automatically only if repeated blocks occur. Enable this to force residential proxies (more reliable but more expensive) from the start.
`proxyCountry`	string	optional	Proxy country for geo-targeting. Use AUTO to automatically select based on the Amazon marketplace/domain.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/tZkPJS2s2fzOcIRwS/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Seller profile records (business name/address/phone, ratings, feedback windows), seller storefront product records, and one storefront-facets record per seller (refinement facets + available sort options) from Amazon.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build C2rTUjtkCNXiG6UHW and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.