# OpenAI Ads Check & Convert — Readiness + Merchant Feed CSV (`kondasviktor/openai-ads-check-convert`) Actor

One shop URL plus a Google Merchant feed → OpenAI Ads readiness report and canonical product CSV. Independent tool — not affiliated with OpenAI. Does not invent prices, GTINs, or availability.

- **URL**: https://apify.com/kondasviktor/openai-ads-check-convert.md
- **Developed by:** [Viktor Kondas](https://apify.com/kondasviktor) (community)
- **Categories:** E-commerce, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2,500.00 / 1,000 completed shop check & converts

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/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

## OpenAI Ads Check & Convert

One public **shop URL** + a **Google Merchant feed** → OpenAI Ads **readiness report** and **canonical product CSV** in a single run.

**Store:** [apify.com/kondasviktor/openai-ads-check-convert](https://apify.com/kondasviktor/openai-ads-check-convert)

**PPE:** **$2.50** per completed shop · pay per event only · min $2.50

Independent tool — **not affiliated with OpenAI**. Does not invent prices, GTINs, or availability.

### Schedule every 14 days

OpenAI product-feed items expire after about two weeks. Create an Apify **schedule** (cron `0 9 */14 * *` UTC) that re-runs this Actor with the same `shopUrl` + `feedUrl`. That is a repeat paid run, not a one-off trial.

### Input (one shop)

| Field | Required | Notes |
| --- | --- | --- |
| `shopUrl` | yes | Public HTTPS storefront |
| `sellerName` | yes | OpenAI `seller_name` |
| `feedUrl` **or** `feedText` | exactly one | Merchant XML/CSV/TSV/JSON |

No credentials. No feed? Use the [$0.15 Readiness Checker](https://apify.com/kondasviktor/openai-ads-readiness-checker) instead.

### Output

- `REPORT.html` — readiness evidence + action list
- `fix-before-feed-rollout.txt` — numbered fixes (including unverified feed countries)
- `openai-products.csv` — canonical OpenAI Ads CSV
- `invalid-products.csv` — rejected rows
- Dataset `summary` row — status, readiness, market gate

**Verified product-feed markets:** US, CA, MX. Ads Manager may be available in more countries; those shops still get a full readiness report, but the feed-country line stays `not_yet_verified`.

### Pricing

| Event | Price |
| --- | ---: |
| `shop-check-convert` (completed shop) | $2.50 |
| Minimum | $2.50 |

Charged only after report + CSV pass an integrity check. Expected bad input (`invalid_input`) is not billed.

### Related Actors

- [Readiness Checker](https://apify.com/kondasviktor/openai-ads-readiness-checker) — shop URL only
- [Feed Converter](https://apify.com/kondasviktor/openai-ads-feed-converter) — feed only
- [Catalog Scraper](https://apify.com/kondasviktor/product-catalog-scraper) — Shopify / Woo / Shoprenter (later feed source)

### n8n template

See [`templates/n8n-openai-ads-check-convert.json`](templates/n8n-openai-ads-check-convert.json) — schedule every 14 days, run Actor, save CSV.

# Actor input Schema

## `shopUrl` (type: `string`):

Public storefront homepage (HTTPS). Required.

## `sellerName` (type: `string`):

Seller supplying the offer (OpenAI seller_name). Required.

## `feedUrl` (type: `string`):

Public Google Merchant XML/CSV/TSV/JSON URL. Provide feedUrl or feedText (exactly one).

## `feedText` (type: `string`):

Paste a feed sample when you do not have a public URL. Ignored if feedUrl is set. Provide feedUrl or feedText (exactly one).

## `targetCountries` (type: `array`):

ISO 3166-1 alpha-2. Verified product-feed markets: US, CA, MX. Others are not_yet_verified for feeds (Ads Manager availability is reported separately).

## `formatHint` (type: `string`):

auto detects from content-type / body. Force when detection is ambiguous.

## `maxProducts` (type: `integer`):

Cap parsed products (keep low for Store QA).

## `checkImages` (type: `boolean`):

Sample og:image and early img tags on the shop.

## `checkSearchBot` (type: `boolean`):

Also check OAI-SearchBot in robots.txt (advisory).

## `requestTimeoutSecs` (type: `integer`):

HTTP timeout for shop and feed fetches.

## Actor input object example

```json
{
  "shopUrl": "https://www.allbirds.com",
  "sellerName": "Example Store",
  "feedText": "<?xml version=\"1.0\"?><rss xmlns:g=\"http://base.google.com/ns/1.0\"><channel><item><g:id>SMOKE-1</g:id><g:title>Smoke Test Shoe</g:title><g:description>A comfortable smoke-test shoe.</g:description><g:link>https://example.com/products/smoke-shoe</g:link><g:image_link>https://example.com/images/smoke-shoe.jpg</g:image_link><g:brand>ExampleBrand</g:brand><g:price>49.99 USD</g:price><g:availability>in_stock</g:availability></item></channel></rss>",
  "targetCountries": [
    "US"
  ],
  "formatHint": "auto",
  "maxProducts": 50,
  "checkImages": true,
  "checkSearchBot": true,
  "requestTimeoutSecs": 60
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `outputJson` (type: `string`):

No description

## `reportHtml` (type: `string`):

No description

## `fixList` (type: `string`):

No description

## `openaiProductsCsv` (type: `string`):

No description

## `invalidProductsCsv` (type: `string`):

No description

# 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 = {
    "shopUrl": "https://www.allbirds.com",
    "sellerName": "Example Store",
    "feedText": "<?xml version=\"1.0\"?><rss xmlns:g=\"http://base.google.com/ns/1.0\"><channel><item><g:id>SMOKE-1</g:id><g:title>Smoke Test Shoe</g:title><g:description>A comfortable smoke-test shoe.</g:description><g:link>https://example.com/products/smoke-shoe</g:link><g:image_link>https://example.com/images/smoke-shoe.jpg</g:image_link><g:brand>ExampleBrand</g:brand><g:price>49.99 USD</g:price><g:availability>in_stock</g:availability></item></channel></rss>",
    "targetCountries": [
        "US"
    ],
    "formatHint": "auto",
    "maxProducts": 50,
    "checkImages": true,
    "checkSearchBot": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("kondasviktor/openai-ads-check-convert").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 = {
    "shopUrl": "https://www.allbirds.com",
    "sellerName": "Example Store",
    "feedText": "<?xml version=\"1.0\"?><rss xmlns:g=\"http://base.google.com/ns/1.0\"><channel><item><g:id>SMOKE-1</g:id><g:title>Smoke Test Shoe</g:title><g:description>A comfortable smoke-test shoe.</g:description><g:link>https://example.com/products/smoke-shoe</g:link><g:image_link>https://example.com/images/smoke-shoe.jpg</g:image_link><g:brand>ExampleBrand</g:brand><g:price>49.99 USD</g:price><g:availability>in_stock</g:availability></item></channel></rss>",
    "targetCountries": ["US"],
    "formatHint": "auto",
    "maxProducts": 50,
    "checkImages": True,
    "checkSearchBot": True,
}

# Run the Actor and wait for it to finish
run = client.actor("kondasviktor/openai-ads-check-convert").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 '{
  "shopUrl": "https://www.allbirds.com",
  "sellerName": "Example Store",
  "feedText": "<?xml version=\\"1.0\\"?><rss xmlns:g=\\"http://base.google.com/ns/1.0\\"><channel><item><g:id>SMOKE-1</g:id><g:title>Smoke Test Shoe</g:title><g:description>A comfortable smoke-test shoe.</g:description><g:link>https://example.com/products/smoke-shoe</g:link><g:image_link>https://example.com/images/smoke-shoe.jpg</g:image_link><g:brand>ExampleBrand</g:brand><g:price>49.99 USD</g:price><g:availability>in_stock</g:availability></item></channel></rss>",
  "targetCountries": [
    "US"
  ],
  "formatHint": "auto",
  "maxProducts": 50,
  "checkImages": true,
  "checkSearchBot": true
}' |
apify call kondasviktor/openai-ads-check-convert --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kondasviktor/openai-ads-check-convert"
        }
    }
}
```

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/MZ8bSS9YAmqvcpUsx/builds/gDjfoQvtJZ6kzBnpk/openapi.json