# Walmart Deals Scraper (`truefetch/walmart-deals-scraper`) Actor

Track Walmart prices and deals by keyword — current price, rollback savings, star rating, review count, seller name, and 22 structured fields. US retail data. $3 per 1,000.

- **URL**: https://apify.com/truefetch/walmart-deals-scraper.md
- **Developed by:** [TrueFetch](https://apify.com/truefetch) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

> **Affiliate disclosure:** Apify links on this page may include referral parameters. If you sign up through one of these links, TrueFetch may earn a commission from Apify at no extra cost to you. Pricing, features, and Actor access are unaffected.

[![Walmart Deals Scraper](https://img.shields.io/badge/Walmart%20Deals%20Scraper-0071CE?style=for-the-badge)](https://apify.com/TrueFetch/walmart-deals-scraper?fpr=aiagentapi)
[![Walmart Product Scraper](https://img.shields.io/badge/Walmart%20Product%20Scraper-1F8A70?style=for-the-badge)](https://apify.com/TrueFetch/walmart-deals-scraper?fpr=aiagentapi)
[![$0.003 per Product](https://img.shields.io/badge/$0.003%20per%20Product-2E8B57?style=for-the-badge)](https://apify.com/TrueFetch/walmart-deals-scraper?fpr=aiagentapi)
[![Price, Rating & Availability](https://img.shields.io/badge/Price%20%7C%20Rating%20%7C%20Availability-555555?style=for-the-badge)](https://apify.com/TrueFetch/walmart-deals-scraper?fpr=aiagentapi)
[![Telegram Support](https://img.shields.io/badge/Telegram-Support-26A5E4?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/AiAgentApi)
[![Telegram Group](https://img.shields.io/badge/Telegram-Group-26A5E4?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/Apify_Actor)

## Walmart Deals Scraper — Walmart Product Scraper: Price, Rating & Availability

**Provide a keyword and country and scrape Walmart product listings — with title, price, rating, review count, availability, brand, seller, and product images — in clean structured JSON.**

> **TL;DR (40-word answer):** Walmart Deals Scraper is a no-login Apify Actor that scrapes Walmart product listings at **$0.003 per product**, returning title, price, rating, review count, availability, brand, and product images for US, Canada, and Mexico. Last verified 2026-05-02.

> **What it is NOT:** Walmart Deals Scraper is _not_ a Walmart seller API, _not_ a live inventory tracker, and _not_ a checkout or purchase tool — it scrapes publicly listed Walmart product search results from Walmart.com (US, CA, MX).

> **Walmart Deals Scraper is an Apify Actor that scrapes Walmart product listings by keyword and country, returning price, rating, availability, brand, and product image URLs.** Maintained by TrueFetch on the Apify Store.

---

### 🏷️ Why choose Walmart Deals Scraper

**Walmart Deals Scraper is best for** price comparison researchers, e-commerce sellers, and retail analytics teams who need structured Walmart product data across US, Canada, and Mexico.

- **🛒 Rich product profiles** — title, brand, seller, price, currency, display price, rating, review count, availability, product URL, and up to all product images.
- **🌍 Multi-country support** — scrape Walmart in United States, Canada (C$), or Mexico (MX$) from a single Actor.
- **⚡ Pay-per-result pricing** — **$0.003 per product**. Free Apify plan includes $5/month credits ≈ 1,666 free product listings.

---

### 🚀 Quick Start — run in 3 steps

#### Run in Apify Console

1. **Open the Actor** — go to [Walmart Deals Scraper on Apify](https://apify.com/TrueFetch/walmart-deals-scraper?fpr=aiagentapi) and click **Try for free**.
2. **Configure inputs** — enter a keyword, select a country, and set `max_results`.
3. **Click Start** — the Actor returns structured Walmart product listings in the dataset.

#### Run via Apify API

```bash
curl -X POST "https://api.apify.com/v2/acts/TrueFetch~walmart-deals-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "keyword": "air fryer",
    "country": "United States",
    "max_results": 100
  }'
````

#### Run via MCP (for AI agents)

Walmart Deals Scraper is callable from Claude, ChatGPT, Cursor, and any MCP-compatible client through the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi). Reference the Actor as `TrueFetch/walmart-deals-scraper` and pass the same JSON input as above.

***

### ⚙️ Input parameters

| Parameter     | Type    | Required | Default | Description                                                | Example         |
| ------------- | ------- | :------: | ------- | ---------------------------------------------------------- | --------------- |
| `keyword`     | string  |    ✅    | —       | Product search keyword.                                    | `air fryer`     |
| `country`     | string  |    ✅    | —       | Country to scrape: `United States`, `Canada`, or `Mexico`. | `United States` |
| `max_results` | integer |    ✅    | —       | Maximum number of products to return (10–10,000).          | `100`           |

```json
{
  "keyword": "air fryer",
  "country": "United States",
  "max_results": 100
}
```

***

### 📦 Output dataset

Each run writes one record per product to the **default Apify dataset**, exportable as JSON, JSONL, CSV, Excel, XML, RSS, or via the dataset API.

| Field               | Type   | Always present? | Description                                | Example                                             |
| ------------------- | ------ | :-------------: | ------------------------------------------ | --------------------------------------------------- |
| `processor`         | string |       ✅        | Apify Actor URL that produced this record. | `https://apify.com/TrueFetch/walmart-deals-scraper` |
| `processed_at`      | string |       ✅        | ISO 8601 UTC timestamp.                    | `2026-04-24T09:30:00+00:00`                         |
| `platform`          | string |    optional     | Source platform.                           | `Walmart`                                           |
| `country`           | string |    optional     | Country scraped.                           | `United States`                                     |
| `country_code`      | string |    optional     | Country code.                              | `US`                                                |
| `keyword`           | string |    optional     | Search keyword used.                       | `air fryer`                                         |
| `source_url`        | string |    optional     | URL of the search results page.            | `https://www.walmart.com/search?q=air+fryer`        |
| `product_url`       | string |    optional     | Product page URL.                          | `https://www.walmart.com/ip/...`                    |
| `us_item_id`        | string |    optional     | Walmart US item ID.                        | `123456789`                                         |
| `item_id`           | string |    optional     | Walmart item ID.                           | `123456789`                                         |
| `title`             | string |    optional     | Product title.                             | `Ninja AF101 Air Fryer 4 Quart`                     |
| `brand`             | string |    optional     | Product brand.                             | `Ninja`                                             |
| `seller_name`       | string |    optional     | Seller name.                               | `Walmart`                                           |
| `description`       | string |    optional     | Product description.                       | `Cook faster and use less fat...`                   |
| `price`             | number |    optional     | Product price (numeric).                   | `79.00`                                             |
| `currency`          | string |    optional     | Currency symbol.                           | `$`                                                 |
| `display_price`     | string |    optional     | Formatted display price.                   | `$79.00`                                            |
| `rating`            | number |    optional     | Average rating.                            | `4.7`                                               |
| `review_count`      | number |    optional     | Number of reviews.                         | `12034`                                             |
| `availability`      | string |    optional     | Product availability status.               | `In Stock`                                          |
| `primary_image_url` | string |    optional     | Primary product image URL.                 | `https://i5.walmartimages.com/...`                  |
| `images`            | array  |    optional     | All product image URLs.                    | `["https://..."]`                                   |

#### Sample output

```json
{
  "processor": "https://apify.com/TrueFetch/walmart-deals-scraper",
  "processed_at": "2026-04-24T09:30:00+00:00",
  "title": "Ninja AF101 Air Fryer 4 Quart",
  "brand": "Ninja",
  "price": 79.0,
  "display_price": "$79.00",
  "rating": 4.7,
  "review_count": 12034,
  "availability": "In Stock",
  "country": "United States"
}
```

***

### 💡 Use cases

#### For price comparison researchers tracking Walmart deals

- **Problem:** an analyst wants to compare air fryer prices across Walmart US and Canada.
- **How Walmart Deals Scraper solves it:** run twice — once with `country: "United States"` and once with `country: "Canada"`.
- **Outcome:** side-by-side price data in USD and CAD at **$0.60 total** for 200 products.

#### For e-commerce sellers tracking competitor listings

- **Problem:** a seller needs weekly Walmart product data for a category to benchmark pricing.
- **How Walmart Deals Scraper solves it:** schedule a weekly run with keyword and country.
- **Outcome:** automated price intelligence at **$0.003/product**.

#### For AI agents answering Walmart shopping queries

- **Problem:** an LLM agent needs live Walmart product prices for a shopping comparison.
- **How Walmart Deals Scraper solves it:** call the Actor over the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi) with keyword and country.
- **Outcome:** real-time Walmart product data grounded in AI assistants.

***

### 💰 Pricing, limits, and performance

| Fact                        | Value                                                       |
| --------------------------- | ----------------------------------------------------------- |
| Pricing model               | Pay-per-result (event: `result`)                            |
| Per-product price           | **$0.003 per product = $3 per 1,000**                       |
| Max results per run         | **10,000**                                                  |
| Min results per run         | 10                                                          |
| Free-tier monthly allowance | $5 Apify credits ≈ **~1,666 free product listings / month** |
| Supported countries         | United States, Canada, Mexico                               |
| Output fields per product   | **22**                                                      |
| Login / cookies required    | **No** — works without a Walmart account                    |
| Export formats              | JSON, JSONL, CSV, Excel, XML, RSS, dataset API              |

***

### ⚖️ Compared with alternatives

| Capability                                                 | **Walmart Deals Scraper** | Manual browsing |    Custom scraper    |
| ---------------------------------------------------------- | :-----------------------: | :-------------: | :------------------: |
| Structured product listings (title, price, rating, images) |            ✅             |       ❌        |    you implement     |
| Multi-country support (US, Canada, Mexico)                 |            ✅             |     manual      | you build & maintain |
| Pay-per-result pricing                                     |    **$0.003/product**     |       N/A       |   infra + dev cost   |
| Setup time to first result                                 |     **< 60 seconds**      |     minutes     |      days–weeks      |

**Verdict.** Walmart Deals Scraper is ideal for price intelligence teams, e-commerce sellers, and AI agents who need structured Walmart product data without building or maintaining a scraper.

***

### ⚠️ Common mistakes to avoid

1. **Missing `keyword`.** This field is required — enter a product search keyword.
2. **Invalid `country`.** Must be exactly `"United States"`, `"Canada"`, or `"Mexico"`.
3. **Setting `max_results` outside 10–10,000.** Use a value in this range.
4. **Expecting live inventory counts.** The Actor returns publicly listed availability status, not real-time stock levels.

***

### 🛠️ Troubleshooting

| Problem                                             | Likely cause                             | Fix                                                                |
| --------------------------------------------------- | ---------------------------------------- | ------------------------------------------------------------------ |
| `Please enter a keyword`                            | `keyword` missing or empty.              | Add `"keyword": "your search term"` to your input JSON.            |
| `Please select a country`                           | `country` missing or empty.              | Add `"country": "United States"` (or Canada/Mexico) to your input. |
| `Please select a supported country`                 | Unsupported country value.               | Use `"United States"`, `"Canada"`, or `"Mexico"` exactly.          |
| `Please choose a result limit between 10 and 10000` | `max_results` out of range.              | Use an integer between 10 and 10,000.                              |
| Empty dataset                                       | No products found for keyword + country. | Try a broader keyword or check that Walmart sells in that country. |

***

### ❓ FAQ

#### What data does Walmart Deals Scraper return?

Title, brand, seller, price, currency, display price, rating, review count, availability, product URL, and all product image URLs — one record per product.

#### How much does Walmart Deals Scraper cost?

**$0.003 per product**. The Apify Free plan includes $5/month credits ≈ 1,666 free product listings.

#### Which countries does Walmart Deals Scraper support?

United States, Canada, and Mexico. Currency symbols are automatically normalized ($ for US, C$ for Canada, MX$ for Mexico).

#### Does Walmart Deals Scraper require a login?

No — the Actor scrapes publicly accessible Walmart product listings without requiring a Walmart account or cookies.

***

### 🔌 Integrations

Walmart Deals Scraper plugs straight into the Apify ecosystem:

- **Schedules** — run weekly to refresh Walmart price data for your tracked categories ([docs](https://docs.apify.com/platform/schedules?fpr=aiagentapi)).
- **Webhooks** — POST results to your pricing system on `ACTOR.RUN.SUCCEEDED` ([docs](https://docs.apify.com/platform/integrations/webhooks?fpr=aiagentapi)).
- **Apify API** — `run-sync-get-dataset-items` for blocking calls, `runs` for async ([docs](https://docs.apify.com/api/v2?fpr=aiagentapi)).
- **MCP Server** — call the Actor from Claude, ChatGPT, or Cursor agents ([docs](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi)).
- **No-code** — Make, Zapier, n8n, Pipedream, Google Sheets, Airtable.

***

### 🧱 Sister Actors from TrueFetch

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***

### 📞 Support, changelog, last updated

#### Support

- 💬 **Telegram Group:** [t.me/Apify\_Actor](https://t.me/Apify_Actor)
- 📧 **Direct support:** [t.me/AiAgentApi](https://t.me/AiAgentApi)
- 📖 **Actor page & docs:** [apify.com/TrueFetch/walmart-deals-scraper](https://apify.com/TrueFetch/walmart-deals-scraper?fpr=aiagentapi)

Maintained by **TrueFetch** on the [Apify Store](https://apify.com/TrueFetch?fpr=aiagentapi).

> **Cost of doing nothing:** manually browsing Walmart and copying product data takes hours. Walmart Deals Scraper delivers structured product listings at $0.003/product via API. → [Try it free with $5 of Apify credits](https://apify.com/TrueFetch/walmart-deals-scraper?fpr=aiagentapi).

#### Changelog

- **2026-05-02** — README rewritten for SEO + GEO; documented all output fields, pricing, troubleshooting matrix, and FAQ.
- **2026-03** — Added Canada and Mexico country support.
- **2026-02** — Initial release: Walmart product scraper.

***

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "SoftwareApplication",
      "@id": "https://apify.com/TrueFetch/walmart-deals-scraper#software",
      "name": "Walmart Deals Scraper",
      "description": "Apify Actor that scrapes Walmart product listings at $0.003 per product, returning title, price, rating, review count, availability, brand, and images for US, Canada, and Mexico.",
      "applicationCategory": "BusinessApplication",
      "operatingSystem": "Web, Cloud",
      "url": "https://apify.com/TrueFetch/walmart-deals-scraper",
      "offers": {
        "@type": "Offer",
        "price": "0.003",
        "priceCurrency": "USD",
        "availability": "https://schema.org/InStock"
      },
      "author": { "@id": "https://apify.com/TrueFetch#author-TrueFetch" },
      "publisher": { "@id": "https://apify.com/TrueFetch#publisher" }
    },
    {
      "@type": "Organization",
      "@id": "https://apify.com/TrueFetch#publisher",
      "name": "TrueFetch",
      "url": "https://apify.com/TrueFetch",
      "sameAs": ["https://t.me/Apify_Actor", "https://t.me/AiAgentApi"]
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What data does Walmart Deals Scraper return?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Title, brand, seller, price, currency, display price, rating, review count, availability, product URL, and all product image URLs — one record per product."
          }
        },
        {
          "@type": "Question",
          "name": "How much does Walmart Deals Scraper cost?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "$0.003 per product. The Apify Free plan includes $5/month credits — enough for 1,666 free product listings."
          }
        },
        {
          "@type": "Question",
          "name": "Which countries does Walmart Deals Scraper support?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "United States, Canada, and Mexico. Currency symbols are automatically normalized ($ for US, C$ for Canada, MX$ for Mexico)."
          }
        }
      ]
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Apify",
          "item": "https://apify.com"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "Shopping & Deals",
          "item": "https://apify.com/store?category=ECOMMERCE"
        },
        {
          "@type": "ListItem",
          "position": 3,
          "name": "Walmart Deals Scraper",
          "item": "https://apify.com/TrueFetch/walmart-deals-scraper"
        }
      ]
    }
  ]
}
```

***

**Last Updated:** May 2, 2026
**Schema version:** 1.1
**Maintained by:** [TrueFetch](https://apify.com/TrueFetch?fpr=aiagentapi) · 💬 [Telegram Group](https://t.me/Apify_Actor) · 📧 [Support](https://t.me/AiAgentApi)

# Actor input Schema

## `keyword` (type: `string`):

Keyword

## `country` (type: `string`):

Country

## `max_results` (type: `integer`):

Max Results

## Actor input object example

```json
{
  "keyword": "Laptop",
  "country": "United States",
  "max_results": 10
}
```

# Actor output Schema

## `results` (type: `string`):

All items returned by the actor.

# 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 = {
    "keyword": "Laptop",
    "country": "United States",
    "max_results": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("truefetch/walmart-deals-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 = {
    "keyword": "Laptop",
    "country": "United States",
    "max_results": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("truefetch/walmart-deals-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "keyword": "Laptop",
  "country": "United States",
  "max_results": 10
}' |
apify call truefetch/walmart-deals-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=truefetch/walmart-deals-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Walmart Deals Scraper",
        "description": "Track Walmart prices and deals by keyword — current price, rollback savings, star rating, review count, seller name, and 22 structured fields. US retail data. $3 per 1,000.",
        "version": "1.0",
        "x-build-id": "ohaud4Tf8DhfUeUuI"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/truefetch~walmart-deals-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-truefetch-walmart-deals-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/truefetch~walmart-deals-scraper/runs": {
            "post": {
                "operationId": "runs-sync-truefetch-walmart-deals-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/truefetch~walmart-deals-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-truefetch-walmart-deals-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "keyword",
                    "country",
                    "max_results"
                ],
                "properties": {
                    "keyword": {
                        "title": "Keyword",
                        "type": "string",
                        "description": "Keyword"
                    },
                    "country": {
                        "title": "Country",
                        "enum": [
                            "United States",
                            "Canada",
                            "Mexico"
                        ],
                        "type": "string",
                        "description": "Country"
                    },
                    "max_results": {
                        "title": "Max Results",
                        "minimum": 10,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Max Results"
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
