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App Store Reviews Scraper

App Store Reviews Scraper returns customer reviews from Apple's App Store by app ID. Scrape up to 500 reviews per app per country from the public RSS feed.

Run App Store Reviews Scraper on Apify →

Pricing

Apify planPer reviewPer 1,000
Free plan$0.0001$0.10
Starter$0.00008$0.08
Scale$0.00007$0.07
Business$0.00006$0.06
Enterprise$0.00006$0.06
Enterprise+$0.00006$0.06

Primary event rates from a catalog snapshot; this is not the total price of a run. Additional charge events and Actor Start fees may apply; start fees can scale with memory. Check the Actor's Pricing tab on Apify for all events, conditions and current plan-specific rates, and set a maximum run budget before starting.

Sample output

No recorded sample is available yet.

Call from code

Use the existing catalog input below as a starting point. Review the tool's input form on Apify before running it.

import json
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("webdatatools/app-store-reviews-scraper").call(run_input=json.loads("{\n    \"appIds\": [\n        \"284882215\"\n    ],\n    \"countries\": [\n        \"us\"\n    ],\n    \"maxReviews\": 100,\n    \"ratings\": []\n}"))

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('webdatatools/app-store-reviews-scraper').call({
    "appIds": [
        "284882215"
    ],
    "countries": [
        "us"
    ],
    "maxReviews": 100,
    "ratings": []
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
curl -X POST "https://api.apify.com/v2/acts/webdatatools~app-store-reviews-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"appIds":["284882215"],"countries":["us"],"maxReviews":100,"ratings":[]}'

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