Use Amazon Best Sellers & Rankings Scraper with Python

Scrape Amazon's Best Sellers, New Releases, Most Wished For, Most Gifted and Movers & Shakers charts. Get rank, ASIN, title, price, rating and category for every product on a chart, with optional deeper category coverage.

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.

{
  "categoryNodeIds": [],
  "categoryUrls": [
    "electronics"
  ],
  "chartType": "bestSellers",
  "domain": "amazon.com",
  "includeProductDetails": false,
  "maxDepth": 0,
  "maxItems": 20,
  "maxItemsPerCategory": 20,
  "maxPages": 2,
  "maxProductDetails": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "startPage": 1
}

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

Field	Type	Required	Description
`chartType`	string	required	Which Amazon chart to scrape.
`domain`	string	optional	Which Amazon marketplace to scrape the chart from.
`categoryUrls`	array	optional	Amazon category slugs (e.g. `electronics`, `electronics/172541`) or full chart URLs to scrape. Each entry is combined with `chartType` and `domain` to build the chart page.
`categoryNodeIds`	array	optional	Amazon browse-node IDs in `rootSlug/nodeId` form (e.g. `electronics/172541` for Headphones). Combined with `categoryUrls` if both are provided.
`maxDepth`	integer	optional	When > 0, also walk each category's left-nav subcategory links this many levels deep, scraping each subcategory's own chart too. 0 = only the given categories.
`startPage`	integer	optional	First chart page to fetch (each page is a separate ranked page on Amazon's site, not a fixed rank count).
`maxPages`	integer	optional	Maximum number of chart pages to fetch per category, starting at `startPage`.
`maxItemsPerCategory`	integer	optional	Hard cap on chart items emitted per category (across all its pages).
`maxItems`	integer	optional	Hard cap on total chart items emitted across all categories in this run.
`includeProductDetails`	boolean	optional	For each chart item, also fetch its product detail page for purchase-option and additional rating data. Slower and bounded by `maxProductDetails`.
`maxProductDetails`	integer	optional	Hard cap on how many chart items get product-detail enrichment when `includeProductDetails` is on.
`proxyConfiguration`	object	optional	Apify proxy used to fetch chart pages. Datacenter (AUTO) is used by default and works for most requests; the actor escalates to residential only after repeated blocks on a session.

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/0FAIaQmKaKgbU4Ftg/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.

Ranked chart items from Amazon's Best Sellers, New Releases, Most Wished For, Most Gifted, and Movers & Shakers pages -- rank, ASIN, title, price, rating, and category.

Questions before you run

Which inputs are required?

The published required fields are chartType

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 ERhYC4a3fFU4C7GYC and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.