Amazon Best Sellers Scraper — Category Rankings

Amazon Best Sellers Scraper — Category Rankings & ASIN Data

Scrape Amazon's ranked charts for any category and export them to CSV, JSON or Excel: Best Sellers, New Releases, Movers & Shakers, Most Wished For and Gift Ideas — with rank, ASIN, title, price, star rating and review count, across 19 Amazon marketplaces.

No Amazon API key. No login.

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Search results tell you what Amazon shows. Charts tell you what sells.

A keyword search returns whatever the ranking algorithm decides to surface for that query, sponsored placements included. A Best Sellers chart is ordered by actual sales rank.

The five charts answer different questions:

Chart	What it reveals
Best Sellers	What is selling right now, ranked 1–100
New Releases	Recent launches already gaining traction
Movers & Shakers	Biggest rank gains in 24 hours — products taking off before they are established
Most Wished For	Demand that has not converted yet — a leading indicator
Gift Ideas	What is actually being bought for others, which peaks seasonally

Movers & Shakers is the sharpest of the five for spotting a trend early: it ranks by change, not by position.

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What this Actor extracts

Field	Type	Description
rank	integer	Position in the chart, read from the badge Amazon prints on the card
asin	string	Amazon's product identifier
title	string	Product title
url	string	Product detail page
price	number	Price as a number
priceText	string	Price as Amazon renders it
currency	string	Currency of the marketplace
rating	number	Average star rating out of 5
reviewCount	integer	Number of ratings
imageUrl	string	Product thumbnail
category	string	Chart category slug
listType	string	Which of the five charts
marketplace	string	Amazon storefront
page	integer	Chart page (1 or 2)
scrapedAt	string	UTC timestamp of extraction

rank is read from the printed badge rather than inferred from grid order, so the number stays correct even when the layout reflows or a card is missing.

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Input

{
  "categories": ["electronics", "kitchen", "toys-and-games", "pet-supplies"],
  "listType": "bestsellers",
  "marketplace": "US",
  "maxResults": 2000
}

Input	Default	Notes
categories	one default category	Slugs as they appear in a Best Sellers URL. A full chart URL works too.
listType	bestsellers	bestsellers, newReleases, moversAndShakers, mostWishedFor, giftIdeas.
marketplace	US	One of 19 storefronts.
maxPagesPerCategory	2	Amazon caps each chart at 100 products over two pages.
maxResults	500	Global cap. 0 = unlimited.

Nothing is required. Run it with empty input ({}) and it scrapes a default busy category so you can see the output shape first.

Common category slugs

electronics · books · kitchen · toys-and-games · sporting-goods · beauty · pet-supplies · office-products · home-garden · automotive · videogames · baby-products · tools · appliances · musical-instruments · arts-crafts · industrial · fashion

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Output sample

{
  "rank": 2,
  "asin": "B0DCH8VDXF",
  "title": "Apple EarPods Headphones with USB-C Plug",
  "url": "https://www.amazon.com/dp/B0DCH8VDXF",
  "price": 19,
  "priceText": "$19.00",
  "currency": "USD",
  "rating": 4.6,
  "reviewCount": 16321,
  "category": "electronics",
  "listType": "bestsellers",
  "marketplace": "US",
  "scrapedAt": "2026-08-06T18:25:00.000Z"
}

---

Use cases

Product sourcing for private label

Scan many categories at once and look for charts where the top ranks are cheap and lightly reviewed. High rank with few reviews means demand exists and no incumbent has locked it in.

Trend detection

Run Movers & Shakers daily against a set of categories and diff the results. A product appearing near the top two days running is a trend forming, not noise.

Competitive rank tracking

Track your own ASINs' rank over time per category and marketplace. Because rank is read from the page, the series is directly comparable across runs.

Seasonal planning

Gift Ideas and Most Wished For move ahead of the buying season. Scraping them through Q4 shows demand building before it shows up in Best Sellers.

Cross-market expansion research

The same category ranks differently in each of the 19 storefronts. Comparing electronics in US, DE and JP tells you where a product has room before you commit inventory.

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Integrating the results

HTTP

curl "https://api.apify.com/v2/acts/logiover~amazon-bestsellers-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"categories":["electronics"],"listType":"moversAndShakers"}'

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/amazon-bestsellers-scraper").call(
    run_input={
        "categories": ["electronics", "kitchen", "pet-supplies"],
        "listType": "moversAndShakers",
        "maxResults": 1000,
    }
)
for p in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(p["rank"], p["title"], p["price"], p["rating"])

Schedule it daily in Apify and push the output to Google Sheets, Airtable or a database through the built-in integrations, or read it from an AI agent over MCP.

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Frequently asked questions

How many products can one run return?

A single test run returned 1,140 products across twenty categories, with rank and price on 100% of rows and ratings on 99%. Each chart is capped by Amazon at 100 products, so scale comes from scraping more categories and more marketplaces rather than deeper pagination.

Why is maxPagesPerCategory limited to 2?

Because Amazon publishes only 100 products per chart, split across two pages of 50. Asking for more pages would return nothing.

What is the difference between Best Sellers and Movers & Shakers?

Best Sellers ranks by current sales volume, so it is dominated by established products. Movers & Shakers ranks by change in sales rank over 24 hours, which surfaces products accelerating right now — the useful signal if you are hunting trends rather than confirming them.

Can I get full product details for the ASINs in a chart?

Yes. Take the asin values and feed them into the Amazon Product Detail Scraper for specs, description, seller, Best Sellers Rank and full-size images.

Is scraping Amazon legal?

This Actor reads publicly available chart pages, does not log in, and collects no personal data. How you use the output is your responsibility; review Amazon's terms and your local rules before redistributing data commercially.

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Related Actors

• Amazon Product Detail Scraper — full record for any ASIN in the chart.
• Amazon Scraper (Product Search) — keyword-level search rather than category charts, with sponsored-placement flags.

A natural pipeline: charts here → take the ASINs → enrich with the detail Actor → compare against keyword search rank.

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Pricing

Pay per result — one charge per ranked product returned, plus a negligible flat fee when a run starts. No subscription, no minimum.

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This Actor uses publicly available data. Amazon is a trademark of Amazon.com, Inc. This is an independent tool and is not affiliated with, endorsed by, or sponsored by Amazon.

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*Maintained: last verified 2026-11-14 — checked end-to-end against live run history (reliability, output fields and types, and time/memory budgets).

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Related scrapers

Other Actors from the same collection:

• Amazon
• Subito.it
• Wikipedia Category
• Fiverr

How much Amazon Best Sellers data can you extract in one run?

A single run returned 30 rows in 13 seconds on the example input. That example is deliberately narrow; the result limit and the input list are both yours to widen. That is roughly 138 rows a minute.

There is no hard ceiling built into this Actor. What bounds a run is the result limit you set, the breadth of the input you give it, and how much Amazon Best Sellers itself publishes. Because billing is per result, a wider run costs proportionally more and a narrow one costs almost nothing — so it is worth starting small and scaling once the output looks right.

Amazon Best Sellers scraping — frequently asked questions

Do I need a Amazon Best Sellers API key, account or login?

No. This Actor reads publicly available pages and feeds, so there is nothing to register for and no credentials to manage.

How do I export Amazon Best Sellers data to CSV, Excel, JSON or Google Sheets?

Open the Storage tab after a run and pick the format you want — CSV, Excel, JSON, XML or an HTML table. For Google Sheets, Airtable or a database, use the dataset URL or the Apify API so the sheet refreshes itself on every run.

Can I schedule this Amazon Best Sellers scraper to run daily or hourly?

Yes. Use the Schedules tab and pick a cadence. Daily is enough for most tracking work; pick hourly only if the rows you care about really do change that fast.

How many rows can I get, and what does it cost?

See the volume section above for a measured figure. Billing is per result, so you pay for the rows you actually receive and a run that finds nothing costs nothing.

Is scraping Amazon Best Sellers legal?

This Actor collects only information that Amazon Best Sellers publishes publicly. It does not log in, does not defeat access controls and does not touch private data. You remain responsible for how you use the output, including under GDPR and similar rules where personal data is involved.

What happens if Amazon Best Sellers blocks the run or changes its layout?

A refused exit IP is swapped for a fresh one within a quarter of a second and retried, and rate limiting is waited out rather than fought. If nothing gets through, the run fails with the reason instead of reporting success with zero rows — so an empty result always means "no matches", never "the source would not answer".

Can I use this with an AI agent, LangChain or an MCP client?

Yes. The Actor is callable over the Apify API and through Apify's MCP server, so an agent can run it and read the dataset back as a tool call.

🤖 AI Agents, MCP & RAG Integration

Amazon Best Sellers Scraper works natively as an on-demand data tool for AI assistants and autonomous workflows.

Connect this Actor directly to Apify AI, Claude Desktop, Cursor, VS Code, Windsurf, LangChain, or LlamaIndex via the official Apify MCP Server — no custom wrapper code needed:

{
  "mcpServers": {
    "apify": {
      "type": "http",
      "url": "https://mcp.apify.com?tools=logiover/amazon-bestsellers-scraper"
    }
  }
}

• Schema-typed inputs & outputs: Clean JSON records with explicit .actor/input_schema.json and .actor/output_schema.json definitions so LLM agents infer parameters and parse fields accurately without HTML noise.
• Bounded & predictable runs: Built-in volume caps and pay-per-result budget guards prevent runaway agent tool loops.
• RAG & automation ready: Stream run datasets straight into vector stores, n8n, Make, Zapier, or webhook pipelines.

💬 Support, Issues & Reviews

• Bug reports & target-site changes: Hit an unexpected empty result or selector change? Open a ticket in the Issues tab with your Run ID or sample input — we actively monitor issues and ship fixes fast.
• Feature & field requests: Need an additional data attribute or filter? Request it in the Issues tab.
• Enjoying this Actor? If it saved you engineering time, please consider leaving an honest review on Apify Store or bookmarking logiover/amazon-bestsellers-scraper — organic developer feedback helps others discover reliable tools and keeps maintenance prioritized.

📝 Changelog

2026-11-14

• Verified live production health run (2026-11-14): extracted 60 structured records in 9.1s with valid schema output.
• Hardened internal proxy stall fallback and pay-per-event dataset instance budget protection.

2026-11-11

• Added reliable terminal run status telemetry and structured Apify AI / MCP Server (mcp.apify.com) tool configuration.
• Added direct Issues & Reviews support links and refreshed live maintenance verification.

2026-11-01

• Monthly health check (2026-11-01): a live run on the current build completed successfully and returned data. Input options, output fields and pricing are unchanged.

2026-10-15

• A run that reaches its maximum cost per run now stops cleanly with its results saved and a status message, instead of ending as aborted.
• A proxy group your account cannot use no longer stops the run at start-up; it falls back to the default Apify Proxy.
• Runs with a short timeout (API and AI-agent calls) now finish inside it with what they collected, instead of being cut off.
• Memory is managed within the run's own limit, which removes a rare out-of-memory crash on large pages.
• The default used when the field is left out for maxResults is now 2,769 (was 500).

2026-09-23

• Fleet-wide quality audit. Verified end to end against live data and re-checked the input schema, the output columns and the run configuration.
• Output verified on a live run: 15 columns returned, 100.0% of cells populated.
• Run reliability reviewed: 99.2% of public runs succeeded in the last 30 days.
• Input schema, output schema and pricing configuration reviewed.

2026-09-01

• Fleet-wide health check. Verified against this Actor's real run history: 30-day success rate, output row counts, per-field fill rates, and peak memory against the configured memory limit.
• Reviewed for the failure patterns that have cost this fleet runs — unguarded proxy setup, retry loops that can outlast the run's own time budget, and full-page HTML parsing that can exhaust a small container.
• No change to input, output fields or scraping logic.

2026-08-11

• Maintenance release: refreshed the build and dependencies.
• Re-verified live execution, non-empty structured output and dataset field/type integrity.
• Reviewed reliability (retries, pagination) and output quality as part of a full-fleet QA pass.

2026-08-06

• First release.
• Scrapes five Amazon charts — Best Sellers, New Releases, Movers & Shakers, Most Wished For, Gift Ideas — for any category across 19 marketplaces.
• Rank is read from the badge Amazon prints on the card rather than inferred from grid order.
• Prices, ratings, review counts and rank stored as numbers.
• TLS-impersonating client over residential proxy with a fresh exit IP per attempt and exponential backoff.
• Empty input scrapes a default category instead of erroring, bounded by maxResults (default 500).