# Google Play Reviews Scraper — App Reviews by Country & Stars (`lergassy/google-play-reviews-scraper`) Actor

\[from $0.0975/1K reviews] Google Play reviews for any Android app by package id, Play Store URL or name, in several languages and countries per run: stars, text, author, date, thumbs-up, app version and developer reply. Star filter, date cutoff. No login, no API key, no run fee.

- **URL**: https://apify.com/lergassy/google-play-reviews-scraper.md
- **Developed by:** [Matvey](https://apify.com/lergassy) (community)
- **Categories:** Marketing, AI, Agents
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.06 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

**Google Play Reviews Scraper** extracts Google Play Store reviews for any Android app — by package id, Play Store link or app name — and returns one row per review with **stars, review text, author, date, thumbs-up count, the app version the reviewer used, and the developer's reply** (text and date). One run can cover several apps, several **languages** and several **countries**, filtered by **stars** and by **date**.

**$0.08 per 1,000 reviews** on the Apify Free plan, from $0.07 per 1,000 on paid plans. No start fee, no login, no Google account, no API key, no browser. Reviews outside your filters, duplicates, unknown apps and bad inputs are free.

### What is Google Play Reviews Scraper?

A **Google Play reviews API** for people who read what Android users say about apps: product managers, ASO specialists, app marketers, customer-support leads, UX researchers, investors — and AI agents that summarise feedback. It reads the same public review list the Play Store web page loads when you click "See all reviews", and turns it into a flat table you can sort, filter, chart or feed to an LLM. No official Google Play API or developer-console access is needed, and it works for **any app, not only your own**.

Each row is one review. The first columns tell you which app, country and language it came from; the rest are the review itself and the developer's answer. Typical jobs:

- **Complaint mining** — set **Maximum stars** to 2 and read the 1- and 2-star reviews of your app or a competitor's. Google filters by stars on its side, so a 4.6-star app's complaints come back as fast as its praise.
- **Release monitoring** — run daily with **Newest first** and **Only reviews newer than: 1 day**, then group by `appVersion` to see what a release broke.
- **Support quality audits** — `hasDeveloperReply`, `replyText` and `replyDate` show which reviews got an answer and how quickly.
- **International feedback** — the same app in English, German, Spanish, Brazilian Portuguese and Hindi in one run.
- **AI analysis** — clean text rows for sentiment, topic clustering, feature-request extraction or a weekly summary.

This Actor is the reviews-only door to our general [Google Play Scraper](https://apify.com/lergassy/google-play-scraper), which also lists apps from search, charts and developers. If you need Apple reviews too, use its twin, [App Store Reviews Scraper](https://apify.com/lergassy/app-store-reviews-scraper).

### What data can Google Play Reviews Scraper extract?

#### 💬 Review rows (`type: review`)

| Field | Example | Meaning |
|---|---|---|
| `appId` | `com.spotify.music` | Google Play package id |
| `appName` | `Spotify: Music and Podcasts` | App name |
| `country`, `language` | `us`, `en` | Where and in which language the review was read |
| `reviewId` | `ad1d9be2-0959-…` | Google Play review id (stable, use it to de-duplicate) |
| `rating` | `3` | Stars, 1–5 |
| `text` | `I love music, it's the only thing…` | The review |
| `author`, `authorImageUrl` | `Angel Mead` | Reviewer name and avatar as shown on Google Play |
| `date` | `2026-04-10T00:04:24.771Z` | When the review was written or last edited (ISO 8601) |
| `thumbsUp` | `56` | How many people marked it helpful |
| `appVersion` | `9.1.36.1948` | App version the reviewer had installed (empty when Google does not show it — 15–20% of reviews in our tests) |
| `criteria` | `[{"criteria": "vaf_app_quality_ads_presence", "rating": 1}]` | Google's feature ratings the reviewer added (ads, battery, streaming…); `null` when there are none |
| `hasDeveloperReply` | `true` | Whether the developer answered |
| `replyAuthor`, `replyText`, `replyDate` | `Spotify AB`, `Hi. We'll pass this on…` | The developer's answer and its date |
| `url` | `https://play.google.com/store/apps/details?id=…&reviewId=…` | Link to the review |
| `sortedBy` | `newest` | The order the review was read in |

#### ℹ️ App summary rows (`type: app`, off by default)

Turn on **Add an app summary row** to get one extra row per app and country: `rating` (average), `ratingsCount`, `reviewsCount`, the star histogram `stars5` … `stars1`, `installs`, `minInstalls`, `version`, `updatedAt`, `developer`, `category`, `free`, `price`, `currency`, `url`, `iconUrl`. The number of written reviews and the currency differ by country — in our test Duolingo showed 957,958 reviews in the US, 204,754 in the UK and 781,098 in India.

The dataset comes with two table views: **Reviews** and **App summary**. Both start with the `type` column.

### 💰 How much does it cost to scrape Google Play reviews?

Pay per result, nothing per run:

| Row | Free plan | Starter (Bronze) | Scale (Silver) | Business (Gold) |
|---|---|---|---|---|
| Review | **$0.00008** — $0.08 per 1,000 | **$0.00007** — $0.07 per 1,000 | $0.00006 — $0.06 per 1,000 | $0.00006 — $0.06 per 1,000 |
| App summary row (only when you turn it on) | $0.001 | $0.0009 | $0.0008 | $0.0007 |
| Reviews outside your star or date filter, duplicates, unknown apps, bad inputs | **$0** | **$0** | **$0** | **$0** |

Platinum and Diamond plans pay the Business price.

Examples on the Starter plan (Free plan in brackets):

- The default run (100 newest Spotify reviews in English): **$0.007** ($0.008).
- 1,000 reviews of one app: **$0.07** ($0.08).
- 10 apps × 3 languages × 500 reviews = 15,000 reviews: **$1.05** ($1.20).

The two most-used Google Play reviews Actors on the Apify Store charge $0.10 per 1,000 reviews flat and $0.15 per 1,000 on the Free plan ($0.13 on Starter); this Actor is 20–40% cheaper than the first and 40–47% cheaper than the second, depending on your plan (checked on 13 October 2026). The Actor is HTTP-only and needs no proxy, so you are not billed for proxy traffic either. On the Apify free plan the monthly platform credit covers tens of thousands of reviews.

### How to scrape Google Play reviews

1. Open the Actor and put your apps into **📱 Apps**, one per line. Any of these works:
   - a package id: `com.spotify.music`
   - a Play Store link: `https://play.google.com/store/apps/details?id=com.duolingo&hl=en`
   - an app name: `Headspace` (matched to the Google Play search result whose title contains every word you typed)
2. Choose **🗣️ Languages** (`en`, `de`, `es`, `pt-BR`, `hi`, `ja` …) and, if you need them, **🌍 Countries** (`us`, `gb`, `in`, `br` …).
3. Pick **↕️ Sort reviews by** and **💯 Reviews per app, country and language**.
4. Optionally narrow it down with **⭐ Minimum / Maximum stars** and **📅 Only reviews newer than**.
5. Press **Start**. Download the table as JSON, CSV, Excel or HTML, or read it through the API.

The default run collects the 100 newest English reviews of Spotify and finishes in a few seconds.

### ⬇️ Input

```json
{
  "apps": ["com.spotify.music", "https://play.google.com/store/apps/details?id=com.duolingo", "Headspace"],
  "countries": ["us", "gb"],
  "languages": ["en", "de"],
  "sortBy": "newest",
  "maxReviewsPerApp": 500,
  "maxRating": 2,
  "reviewsNewerThan": "30 days",
  "includeAppInfo": false
}
```

| Field | What it does |
|---|---|
| 📱 `apps` | Package ids, Play Store links or app names |
| 🌍 `countries` | Two-letter Google Play country codes (default `us`) |
| 🗣️ `languages` | Review language codes (default `en`) |
| ↕️ `sortBy` | `newest`, `relevant` (Google's "Most relevant") or `rating` (highest first) |
| 💯 `maxReviewsPerApp` | Reviews per app, country and language (default 100) |
| ⭐ `minRating`, `maxRating` | Star range, e.g. `maxRating: 2` for complaints only |
| 📅 `reviewsNewerThan` | `2026-09-01`, `7 days`, `2 weeks` or `1 month` |
| ℹ️ `includeAppInfo` | Adds the app summary row ($0.001 per app and country) |

#### Languages and countries — how Google Play really splits reviews

Google Play groups reviews **by language**. Each language gives its own set of reviews, so adding `de` next to `en` adds German reviews. The **country** matters less: the newest-first list is the same in every country for one language, and only the **Most relevant** ranking changes by country (in our test Duolingo's English "most relevant" list in the UK shared one review in fifty with the US list). The Actor removes reviews it has already delivered for the same app, so a second country never makes you pay twice for the same review — repeats are counted in the run summary as "duplicates skipped (free)".

#### Star filter

With a star filter Google filters on its side, one star value at a time, and the Actor merges the lists (newest first when you sort by date). That is why `maxRating: 2` on WhatsApp returned 300 complaints in 6 seconds instead of paging through thousands of 5-star reviews.

#### Date cutoff

`reviewsNewerThan` keeps only reviews written after the date. With **Newest first** the Actor stops reading as soon as it reaches older reviews, which makes daily monitoring runs tiny: Headspace's last 14 days were 17 reviews and 4 seconds.

With **Most relevant** or **Highest rating first** recent reviews are scattered through the whole list, so the Actor keeps reading (up to 9,000 reviews per app, language and star value) and keeps only the recent ones until it has your number. Skipped older reviews are free. For "every review of the last month", Newest first is faster and complete.

### ⬆️ Output

```json
{
  "type": "review",
  "appId": "com.spotify.music",
  "appName": "Spotify: Music and Podcasts",
  "country": "us",
  "language": "en",
  "reviewId": "ad1d9be2-0959-4e98-8229-ee3ee4d9df0e",
  "rating": 3,
  "text": "I love music, it's the only thing that keeps me focused on things like drawing…",
  "author": "Angel Mead (Willow)",
  "authorImageUrl": "https://play-lh.googleusercontent.com/a-/ALV-UjVrcmkir02…",
  "date": "2026-04-10T00:04:24.771Z",
  "thumbsUp": 56,
  "appVersion": "9.1.36.1948",
  "criteria": null,
  "hasDeveloperReply": true,
  "replyAuthor": "Spotify AB",
  "replyText": "Hi. We'll pass this on to the ads team. Furthermore, have you tried a quick reinstall?…",
  "replyDate": "2026-04-10T11:17:33.589Z",
  "url": "https://play.google.com/store/apps/details?id=com.spotify.music&reviewId=ad1d9be2-0959-4e98-8229-ee3ee4d9df0e",
  "sortedBy": "relevant",
  "scrapedAt": "2026-10-01T08:05:13.004Z"
}
```

An app summary row (when turned on) looks like this:

```json
{
  "type": "app",
  "appId": "com.duolingo",
  "appName": "Duolingo: Language Lessons",
  "country": "gb",
  "rating": 4.69,
  "ratingsCount": 49304466,
  "reviewsCount": 204755,
  "stars5": 39623024, "stars4": 6825391, "stars3": 1354712, "stars2": 451524, "stars1": 1049604,
  "installs": "500,000,000+",
  "version": "VARY",
  "updatedAt": "2026-09-29T17:05:20.000Z",
  "developer": "Duolingo",
  "category": "Education",
  "price": 0,
  "currency": "GBP"
}
```

#### Error rows

Anything the Actor cannot use becomes a free row with `type: "error"`, the `input` and a plain-English `error`, instead of a failed run: an unknown package id, a link that is not a Play Store link, an app name with no match, an Apple App Store id pasted by mistake, a country code like `usa`, a language like `english`, a date it cannot read, or a minimum star value above the maximum. Error rows are never charged. A run that finds no reviews for your filters ends successfully with one free `type: "notice"` row that says so, and costs nothing.

### Use cases for Google Play review data

#### Product and ASO teams

Track the rating of every release by grouping reviews by `appVersion`, find the bugs users mention most, and compare your app with five competitors in the same languages.

#### Customer support

Find unanswered 1- and 2-star reviews (`hasDeveloperReply: false`), measure how long replies take (`replyDate − date`), and read how competitors answer the same complaints.

#### Market and investment research

Pull reviews of a whole category — fintech, food delivery, language learning — in the languages of the markets you care about, and quantify what users love or hate before you build or invest.

#### AI and LLM workflows

Feed review text into a sentiment model, cluster topics, extract feature requests, or let an agent write a weekly "what users said" digest. Rows are flat and the field names explain themselves.

### Integrations

- **Apify API** — start runs and read results over HTTP: `POST https://api.apify.com/v2/acts/lergassy~google-play-reviews-scraper/run-sync-get-dataset-items?token=<TOKEN>` with the input JSON as the body returns the reviews in one call.
- **Python and JavaScript clients:**

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("lergassy/google-play-reviews-scraper").call(run_input={
    "apps": ["com.spotify.music"],
    "languages": ["en", "es"],
    "maxRating": 2,
    "maxReviewsPerApp": 500,
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["rating"], review["appVersion"], review["text"][:80])
```

- **No-code** — send reviews to Google Sheets, Airtable, Slack, Notion, Jira or a database through **n8n**, **Make** or **Zapier**; schedule daily runs in Apify and get a webhook when each run finishes.
- **MCP server** — the [Apify MCP server](https://mcp.apify.com) exposes this Actor as a tool to Claude, ChatGPT, Cursor and other agents: "get the 1- and 2-star Google Play reviews of Duolingo from the last month and group them by app version".

### 🤖 For AI agents & LLM apps

Actor `lergassy/google-play-reviews-scraper`. **Purpose:** returns Google Play reviews of Android apps as flat rows, one per review.

**Minimal input:** `{"apps": ["com.spotify.music"]}` — defaults: country `us`, language `en`, newest first, 100 reviews.

**Output fields:** type, appId, appName, country, language, reviewId, rating, text, author, authorImageUrl, date, thumbsUp, appVersion, hasDeveloperReply, replyAuthor, replyText, replyDate, url, sortedBy, scrapedAt. Optional `type: app` rows add rating, ratingsCount, reviewsCount, stars5–stars1, installs, version, updatedAt, developer, category, price, currency.

**Behaviours:** `maxReviewsPerApp` is per app × country × language. Reviews are grouped by language; countries only change the "relevant" ranking, and repeated reviews are dropped free. Use `minRating` / `maxRating` and `reviewsNewerThan` instead of post-filtering — they are cheaper. Billed: `review` per review row, `app` per summary row; errors free. Reviewer names are public display names; there are no reviewer ids or e-mails.

### ❓ FAQ

#### Is it legal to scrape Google Play reviews?

The Actor reads reviews that Google Play shows publicly to anyone, without logging in. Reviewers appear under the display names they chose. You are responsible for how you use the data — respect Google's terms, copyright in the review texts and privacy laws such as GDPR, and ask a lawyer if you are unsure.

#### Do I need a Google account, a developer account or an API key?

No. It works for any public Android app, not only apps you publish.

#### How many reviews can I get per app?

Set **Reviews per app, country and language** up to 20,000. Google Play pages through its full list for popular apps — in our tests WhatsApp gave 2,000 English and 2,000 Spanish reviews in 25 seconds. Smaller apps simply have fewer reviews; the run stops when Google's list ends.

#### Why did a second country give me no new reviews?

Because Google Play shares one newest-first list across countries of the same language. Add a language instead, or switch to **Most relevant**, where each country has its own ranking. Repeats are skipped and never charged.

#### Can I get only negative reviews?

Yes — set **Maximum stars** to 2 (or 1). Google filters on its side, so this is fast even for apps with millions of 5-star ratings.

#### Can I use Google Play Reviews Scraper with the Apify API?

Yes. Every run can be started and read through the [Apify API](https://docs.apify.com/api/v2) and the official Python and JavaScript clients; see the snippet above.

#### Can I use it through an MCP server?

Yes. Connect the [Apify MCP server](https://mcp.apify.com) to Claude, ChatGPT, Cursor or any MCP client and the agent can call this Actor as a tool.

#### Can I integrate it with other apps?

Yes — Google Sheets, Airtable, Slack, Zapier, Make, n8n, webhooks and databases through Apify integrations.

#### How much will my run cost?

On the Free plan $0.08 per 1,000 reviews ($0.07 on Starter, $0.06 on Scale and Business), plus the app summary row if you turn it on ($0.0009 on Starter, $0.001 on Free). Errors, duplicates and filtered-out reviews are free, and there is no start fee.

#### Does one row equal one review?

Yes. Each review row is one Google Play review; the optional app summary is a separate row type with its own table view.

#### Does it work for iPhone apps?

No — this Actor reads Google Play. For Apple apps use [App Store Reviews Scraper](https://apify.com/lergassy/app-store-reviews-scraper); the main columns (`appId`, `appName`, `country`, `rating`, `text`, `author`, `appVersion`, `date`) have the same names, so the two tables stack easily.

### Your feedback

Missing a field, found a bug, or need a feature? Open an issue on the **Issues** tab — we answer quickly and ship fixes fast. If the Actor saved you time, a rating on the Store helps other people find it.

### You might also like

| Actor | What it does |
|---|---|
| [Google Play Scraper](https://apify.com/lergassy/google-play-scraper) | Google Play apps from search, top charts and developers: installs, rating, price, version, developer contacts — reviews optional |
| [App Store Reviews Scraper](https://apify.com/lergassy/app-store-reviews-scraper) | Apple App Store reviews by country and stars — the iOS twin of this Actor |
| [App Store Scraper](https://apify.com/lergassy/app-store-scraper) | App Store apps from search, charts and developers |
| [Software Reviews Scraper](https://apify.com/lergassy/software-reviews-scraper) | G2, Capterra and TrustRadius reviews of B2B software |
| [Trustpilot Reviews API](https://apify.com/lergassy/trustpilot-reviews-api) | Company reviews from Trustpilot |

# Actor input Schema

## `apps` (type: `array`):

Google Play package ids, Play Store links or app names, one per line — <b>com.spotify.music</b>, <b>https://play.google.com/store/apps/details?id=com.duolingo</b>, <b>Headspace</b>. A name is matched to the Google Play search result whose title contains every word you typed.

## `countries` (type: `array`):

Two-letter Google Play country codes — <b>us</b>, <b>gb</b>, <b>in</b>, <b>br</b>. The country changes which reviews Google ranks as most relevant and the price in the app summary; the newest-first list is the same for every country of one language, and repeats are skipped free.

## `languages` (type: `array`):

Review languages — <b>en</b>, <b>de</b>, <b>es</b>, <b>pt-BR</b>, <b>hi</b>, <b>ja</b>. Google Play groups reviews by language, so each language gives its own set of reviews.

## `sortBy` (type: `string`):

The order Google Play returns reviews in. 'Newest first' is best for monitoring and for the date cutoff.

## `maxReviewsPerApp` (type: `integer`):

How many reviews to collect for each app in each country and language. Google Play returns 150 per page; popular apps have thousands per language.

## `minRating` (type: `integer`):

Keep only reviews with at least this many stars. Leave empty for all. Google Play filters on its side, so rare star values come back fast.

## `maxRating` (type: `integer`):

Keep only reviews with at most this many stars — set 2 to collect complaints only. Leave empty for all.

## `reviewsNewerThan` (type: `string`):

A date such as <b>2026-09-01</b> or a period such as <b>7 days</b>, <b>2 weeks</b>, <b>1 month</b>. With 'Newest first' the run stops paging as soon as it reaches older reviews — cheap daily monitoring. Leave empty for all.

## `includeAppInfo` (type: `boolean`):

Add one row per app and country with the overall rating, number of ratings and reviews, the 1–5 star counts, installs, version, last update, developer, category and price. Off by default, so the table holds reviews only.

## Actor input object example

```json
{
  "apps": [
    "com.spotify.music"
  ],
  "countries": [
    "us"
  ],
  "languages": [
    "en"
  ],
  "sortBy": "newest",
  "maxReviewsPerApp": 100,
  "includeAppInfo": false
}
```

# Actor output Schema

## `reviews` (type: `string`):

One row per Google Play review; with 'Add an app summary row' on, also one app summary row per app and country.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "apps": [
        "com.spotify.music"
    ],
    "countries": [
        "us"
    ],
    "languages": [
        "en"
    ],
    "sortBy": "newest",
    "maxReviewsPerApp": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("lergassy/google-play-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "apps": ["com.spotify.music"],
    "countries": ["us"],
    "languages": ["en"],
    "sortBy": "newest",
    "maxReviewsPerApp": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("lergassy/google-play-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "apps": [
    "com.spotify.music"
  ],
  "countries": [
    "us"
  ],
  "languages": [
    "en"
  ],
  "sortBy": "newest",
  "maxReviewsPerApp": 100
}' |
apify call lergassy/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lergassy/google-play-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/9s3l4k4WshVjykG1S/builds/BZgwKz2YR2pLSv0NQ/openapi.json