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URL: https://apify.com/webdatalabs/amazon-reviews-scraper/api

⇱ Amazon Reviews Scraper & Extractor API Β· Apify

πŸ‘ Amazon Reviews Scraper & Extractor avatar

Amazon Reviews Scraper & Extractor

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Pay per event

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Amazon Reviews Scraper & Extractor

Extract Amazon customer reviews at scale for sentiment analysis, competitor research, and automation workflows. Get 10-15 reviews free (no cookies) or 1000+ reviews per product with authenticated cookies. API-ready JSON/CSV export for n8n, Zapier, Make.com, and AI/LLM analysis.

Pricing

Pay per event

Rating

1.3

(2)

Developer

πŸ‘ WebDataLabs

WebDataLabs

Maintained by Community

Actor stats

4

Bookmarked

361

Total users

31

Monthly active users

2 months ago

Last modified

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You can access the Amazon Reviews Scraper & Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

πŸ‘ Python

Python

πŸ‘ JavaScript

JavaScript

CLI

πŸ‘ OpenAPI

OpenAPI

HTTP

MCP

# Set API token
$API_TOKEN=<YOUR_API_TOKEN>
# Prepare Actor input
$cat> input.json <<'EOF'
<{
< "productUrls": [
< {
< "url": "https://www.amazon.com/dp/B005EJH6Z4"
< }
< ],
< "maxReviewsPerProduct": 100,
< "amazonCookies": "",
< "verifiedOnly": false,
< "sortBy": "all"
<}
<EOF
# Run the Actor using an HTTP API
# See the full API reference at https://docs.apify.com/api/v2
$curl"https://api.apify.com/v2/acts/webdatalabs~amazon-reviews-scraper/runs?token=$API_TOKEN"\
<-X POST \
<-d @input.json \
<-H'Content-Type: application/json'

Amazon Reviews Scraper & Extractor API

Below, you can find a list of relevant HTTP API endpoints for calling the Amazon Reviews Scraper & Extractor Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under Integrations in Apify Console. For details, see the API reference.

Run Actor

POST
https://api.apify.com/v2/acts/webdatalabs~amazon-reviews-scraper/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST
https://api.apify.com/v2/acts/webdatalabs~amazon-reviews-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET
https://api.apify.com/v2/acts/webdatalabs~amazon-reviews-scraper?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Amazon Reviews Scraper & Extractor API programmatically via the Apify API.

You can choose from:

Amazon Reviews Scraper & Extractor API in Python

Amazon Reviews Scraper & Extractor API in JavaScript

Amazon Reviews Scraper & Extractor API through CLI

Amazon Reviews Scraper & Extractor OpenAPI definition

You can start Amazon Reviews Scraper & Extractor with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Amazon Reviews Scraper & Extractor is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Amazon Reviews Scraper & Extractor run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.