logo
languageDEdown
menu

Amazon India Product Listings Scraper

Give it product keywords, a page count, and an Indian postal code, and receive Amazon India listings with ASINs, titles, prices, ratings, review counts, and product links.

Übersicht

Amazon India Product Listings Scraper turns product search terms into a structured view of items surfaced on Amazon India for a selected postal-code area. Each collected listing keeps its search keyword together with the ASIN, product title, displayed price, rating, review count, product link, and collection time.

The resulting table is useful when the search-results view itself is the research subject. It supports comparisons across product themes and repeated snapshots without requiring analysts to copy listing cards manually, while the ASIN and product link preserve a practical path back to each item.

Data notes

Records come from publicly visible Amazon India search listings and reflect the postal-code area and marketplace content shown when collection ran. Listed price is preserved as display text with the Indian rupee symbol; it is not converted to a number and should not be assumed to include delivery charges, promotions, or other adjustments that are not shown in the listing. Star rating and review count are also preserved as displayed text and can be empty when a listing card does not show them. The collection time follows the source's displayed date-and-time format and does not include an explicit timezone. A product may appear for more than one search keyword, and each record retains the keyword that produced it. Unavailable, restricted, signed-in-only, or no-longer-visible products are not represented.

What the results look like

Each record represents one product shown for one Amazon India search keyword:

Search keywordASINProduct titleListed priceStar ratingReview count
ipadB0DZ79Q1DBApple iPad 11″: A16 chip, 27.69 cm (11″) Model, Liquid Retina Display, 128GB, Wi-Fi 6, 12MP Front/12MP Back Camera, Touch ID, All-Day Battery Life — Silver₹49,900
lightning cableB0BXCQ8J9Zamazon basics Tpe Usb Lightning Charging And Data Sync Cable,For Iphone 14,13,12,11,X,8,7,6,5,Ipad,Air,Pro,Mini (102cm, Black)₹2293.9 out of 5 stars1,080

Other fields include Product URL and Collection time.

Use cases

  • For price-positioning research, compare “Listed price” across “Product title” values within each “Search keyword” after normalizing the displayed price text.
  • For assortment analysis, group “ASIN” and “Product title” by “Search keyword” to identify recurring items and keyword-specific listings.
  • For reputation screening, compare “Star rating” with “Review count” to separate highly rated products with broad feedback from listings with limited rating evidence.
  • For repeated market snapshots, use “ASIN,” “Listed price,” and “Collection time” to observe which products remain visible and how displayed prices change.

Anwendungsbereich & Grenzen

Each run accepts 1 to 10,000 keywords and 1 to 20 search-result pages per keyword for one Indian postal code; results cover publicly visible Amazon India listing data at collection time.

  • Geeignet für
  • Use it when you need structured Amazon India search listings for one or more product keywords in a specific postal-code area.
  • Use it for listing-price comparisons, assortment research, rating analysis, or building a traceable set of product links.
  • Nicht verwenden für
  • Do not use it when you need product descriptions, seller details, delivery promises, variant inventories, or other detail-page fields that are not included in the listing output.
  • Do not use it when every matching product must be guaranteed because search ranking, availability, and visible listing content can change.

Fehlerbehandlung

Vom Autor deklariertes Fehler- und Wiederholungsverhalten. Wir empfehlen, es bei der Integration in Ihren System-Prompt aufzunehmen.

  1. 1If a run stops before completion, retry the same small keyword set once; if it stops again, reduce the number of keywords or pages.
  2. 2An empty result may mean the keyword has no public matches for the postal-code area or the marketplace temporarily limited access; verify the inputs and retry later.

Eingabe

Parameter, die zum Aufruf dieser App erforderlich sind, generiert aus dem input.schema in der manifest.json.

FeldFachlicher NameTypErforderlichStandardEnum / EinschränkungenBeispielBeschreibung
search_keywordsProduct search keywordsarray<string>Jabis zu 10000 Einträge["ipad"]Product words or phrases to search on Amazon India, with one keyword per item. Enter 1 to 10,000 keywords per run.
pages_per_keywordSearch pages per keywordintegerJa1–201Number of Amazon India search-result pages to collect for each keyword. Enter a whole number from 1 to 20; larger values take longer and can return more records.
indian_postal_codeIndian postal codestringJa110001Six-digit Indian postal code used to localize the Amazon India listings and displayed availability. Enter digits only.

Ausgabe

Feldstruktur eines einzelnen Datensatzes, generiert aus dem output.schema in der manifest.json.

FeldFachlicher NameTypBeispielBeschreibung
keywordSearch keywordstringipadKeyword that produced the listing record.
asinASINstringB0DZ79Q1DBAmazon Standard Identification Number for the listed product.
titleProduct titlestringApple iPad 11″: A16 chip, 27.69 cm (11″) Model, Liquid Retina Display, 128GB, Wi-Fi 6, 12MP Front/12MP Back Camera, Touch ID, All-Day Battery Life — SilverProduct title displayed in the Amazon India search listing.
product_urlProduct URLstringhttps://www.amazon.in/Apple-iPad-11%E2%80%B3-Display-All-Day/dp/B0DZ79Q1DB/ref=sr_1_1Amazon India detail-page address for the listed product.
star_ratingStar ratingstringStar-rating text displayed in the listing; it may be empty when no rating is shown.
review_countReview countstringDisplayed customer-review count; it may be empty when no count is shown.
listed_priceListed pricestring₹49,900Price text displayed in the Amazon India listing, including the rupee symbol.
collected_atCollection timestring2026/9/9 11:36:13Date and time recorded by the source when the listing was collected.

Datensatz-Schema

Die Ausgabe wird Datensatz für Datensatz zurückgegeben. detail.output.idFieldHint

output.schema
{
  "type": "object",
  "properties": {
    "keyword": {
      "type": "string",
      "title": "Search keyword",
      "description": "Keyword that produced the listing record.",
      "prefill": "ipad"
    },
    "asin": {
      "type": "string",
      "title": "ASIN",
      "description": "Amazon Standard Identification Number for the listed product.",
      "prefill": "B0DZ79Q1DB"
    },
    "title": {
      "type": "string",
      "title": "Product title",
      "description": "Product title displayed in the Amazon India search listing.",
      "prefill": "Apple iPad 11″: A16 chip, 27.69 cm (11″) Model, Liquid Retina Display, 128GB, Wi-Fi 6, 12MP Front/12MP Back Camera, Touch ID, All-Day Battery Life — Silver"
    },
    "product_url": {
      "type": "string",
      "title": "Product URL",
      "description": "Amazon India detail-page address for the listed product.",
      "prefill": "https://www.amazon.in/Apple-iPad-11%E2%80%B3-Display-All-Day/dp/B0DZ79Q1DB/ref=sr_1_1"
    },
    "star_rating": {
      "type": "string",
      "title": "Star rating",
      "description": "Star-rating text displayed in the listing; it may be empty when no rating is shown.",
      "prefill": ""
    },
    "review_count": {
      "type": "string",
      "title": "Review count",
      "description": "Displayed customer-review count; it may be empty when no count is shown.",
      "prefill": ""
    },
    "listed_price": {
      "type": "string",
      "title": "Listed price",
      "description": "Price text displayed in the Amazon India listing, including the rupee symbol.",
      "prefill": "₹49,900"
    },
    "collected_at": {
      "type": "string",
      "title": "Collection time",
      "description": "Date and time recorded by the source when the listing was collected.",
      "prefill": "2026/9/9 11:36:13"
    }
  },
  "required": [],
  "additionalProperties": false
}

Integration

Diese App kann über MCP, API, SDK oder Dateiexport integriert werden — alle Kanäle teilen sich dieselben Fähigkeiten und Preise. Jede Anfrage authentifiziert sich über den Authorization: Bearer-Header mit einem API Key (langlebig, in der Open-Platform-Konsole erstellt); MCP-Clients können sich zusätzlich per OAuth ohne Key anmelden. Weitere Optionen wie CLI und Skill sind in Vorbereitung.

Über das MCP (Model Context Protocol) können Sie diese App direkt aus KI-Clients wie Claude und Cursor aufrufen. Wählen Sie Ihren Client und den Authentifizierungsmodus und kopieren Sie dann die Konfiguration unten.

Client-Konfiguration

Ersetzen Sie den Wert nach Bearer durch Ihren langlebigen API Key. Funktioniert in jedem Client, in CI und in Headless-Umgebungen.

mcpServers config
{
  "mcpServers": {
    "YiJacobJohnRaku__amazon-product-listing-scraper-for-india": {
      "type": "http",
      "url": "https://mcp-v2.octoparse.com?pin=YiJacobJohnRaku/amazon-product-listing-scraper-for-india",
      "headers": { "Authorization": "Bearer <YOUR_API_KEY>" }
    }
  }
}

Lassen Sie die KI die Einrichtung übernehmen

Sie möchten Konfigurationen nicht von Hand bearbeiten? Kopieren Sie den Installations-Prompt und fügen Sie ihn in einen beliebigen KI-Client ein — er schließt die Einrichtung auf seine eigene Weise ab. (Der Prompt weist die KI an, Ihren API Key bei Ihnen zu erfragen, damit Zugangsdaten nie im Chatverlauf oder in geteilten Konfigurationen landen.)

detail.access.mcp.composeHint

Preise

returned product listing

Berechnet nach der Anzahl der erfolgreich zurückgegebenen Datensätze. Fehlgeschlagene Aufgaben werden nicht berechnet.

0,0001 $/ Datensatz

Mehrere Abrechnungsereignisse werden unabhängig voneinander kumuliert — Details siehe jeweilige Position. Fehlgeschlagene Aufgaben werden nicht berechnet.

Jetzt ausprobieren

Füllen Sie die Parameter aus und starten Sie — die Ergebnisse stammen aus einem echten Aufruf.

Beispiel
Parameter werden vor dem Absenden gegen input.schema validiert
Bitte füllen Sie zuerst die Pflichtparameter aus
0,0001 $ / Datensatz