Hi, thanks for opening this issue!

Do you have an example of such run?

You can also check the loaded delivery location, that can be used to test if the ZIP code setter worked - check the locationText output field. It's also just possible that the delivery location time is the same as the regular “default” one. Also note that there is no real “default” one, it's more so just a randomly assigned one based on the used proxy.

I hope this helps, thanks and happy scraping!

hi!

for example in this url por a specific zipcode, insead of the fastestDelivery time (Tomorrow 11 june), the actor gives me "sunday 15 june" wich its the normal delivery time. Do you know how can i fix this?

this its the code im running, just to test:

import time import pandas as pd from apify_client import ApifyClient

APIFY_TOKEN = '' # tu token aquí ACTOR_ID = 'junglee/amazon-crawler'

client = ApifyClient(APIFY_TOKEN)

product_urls = [ 'https://www.amazon.com/dp/B08WJ7ZWQ7', 'https://www.amazon.com/dp/B0CGJSBK2Z', 'https://www.amazon.com/dp/B084R77J83', 'https://www.amazon.com/dp/B09PZBTP8H', 'https://www.amazon.com/dp/B07X2PHHGM' ]

zip_codes = ['90210', '98039']

def run_actor_for_zip(zip_code): input_body = { "categoryOrProductUrls": [{"url": url} for url in product_urls], "includeShippingInfo": True, "proxyConfiguration": { "useApifyProxy": True, "countryCode": "US" }, "extendOutputFunction": f""" async ({{ item }}) => {{ item.requestedZipCode = '{zip_code}'; return item; }} """ }

run = client.actor(ACTOR_ID).call(run_input=input_body) dataset = client.dataset(run["defaultDatasetId"]) items = list(dataset.iterate_items())

results = [] for item in items: results.append({ "url": item.get("url", ""), "zipCode": zip_code, "fastestDelivery": item.get("fastestDelivery", None), "error": None }) return results

def main(): all_results = [] for zip_code in zip_codes: print(f"Ejecutando actor para ZIP code: {zip_code} ...") try: results = run_actor_for_zip(zip_code) all_results.extend(results) except Exception as e: print(f"❌ Error para ZIP {zip_code}: {e}") time.sleep(5) # pausa para no saturar API

Exportar a CSV

df = pd.DataFrame(all_results) df.to_csv("amazon_delivery_by_zip.csv", index=False, encoding="utf-8") print("✅ Resultados exportados a amazon_delivery_by_zip.csv")

return all_results

if name == "main": main() from google.colab import files files.download('amazon_delivery_by_zip.csv')

El mar, 10 jun 2025 a la(s) 1:27 p.m., Lukáš Průša (notifications@apify.com) escribió:

i cant make it work properly

El mar, 10 jun 2025 a la(s) 3:03 p.m., Felipe Contarino (felipe@lunderg.com) escribió:

Thanks for providing the products. I still believe that the scraper is getting the correct data though.

E.g. the first product with the two zip codes: https://www.amazon.com/dp/B08WJ7ZWQ7

• 90210 - https://console.apify.com/view/runs/Wav9RxiaLvEbn018R - {"delivery": "Monday, June 16", "fastestDelivery": "Tomorrow, June 12" }
• 98039 - https://console.apify.com/view/runs/vMa92Ry0UYkprNTFl - {"delivery": "Monday, June 16", "fastestDelivery": "Today 7 AM - 11 AM"}

All of this seems to be correct.

hi, for some products yes, but for others no.

If you see some products have the same delivery time, and then i checked with amazon, and i know its wrong.

There is something we can do?

El mié, 11 jun 2025 a la(s) 7:57 a.m., Lukáš Průša (notifications@apify.com) escribió: