1from apify_client import ApifyClient
2
3
4
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7
8run_input = {
9 "urls": ["https://www.amazon.com/Octa-Core-Capable-Processor-GeForce-ANV16-41-R5J0/dp/B0CXY573W9/ref=sr_1_1?crid=2DD2B6XRVQC89&dib=eyJ2IjoiMSJ9.FT9NoLUdDmhLCPw6GyazrVxXQeH0mIVNx1iEaATP8n4DxM4dogeI87GrX8BCUccz6hYTTqmz7dm8w5vRJsQqG2FS-yQuAN4lvvepEuzTzSHZ3nTVPexb1iWsLjTJYlG1zEadC3sW--DkR-ZIW5e6MNn9n1xCDUcVthyODSw928L9brgbN7B27Avjd77uqXiynFd3COBHZrMmO_gGMnO0yUSpdfyRnfoFkrG_QroK4uw.j9FPrLSf-4P0p8rSDuno6fiQ6VDfNlrp_0XiPKwWm3A&dib_tag=se&keywords=acer%2Bnitro%2Bv&qid=1732438203&sprefix=%2Caps%2C411&sr=8-1&th=1"],
10 "proxyConfiguration": {
11 "useApifyProxy": True,
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 },
14}
15
16
17run = client.actor("getdataforme/amazon-product-reviews-actor").call(run_input=run_input)
18
19
20print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24