# Meta Catalog Feed Preflight (`checksmithcats/meta-catalog-preflight`) Actor

Compares public product feed fields, product links, image links, and static landing-page price/availability signals for Meta catalog preparation.

- **URL**: https://apify.com/checksmithcats/meta-catalog-preflight.md
- **Developed by:** [Checksmith Cats](https://apify.com/checksmithcats) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.40 / catalog preflight report generated

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Meta Catalog Feed Preflight

Before uploading or refreshing catalog data, compare a public product feed with sampled landing-page signals.

### What it checks

- MVP required field presence: `id`, `title`, `description`, `availability`, `condition`, `price`, `link`, `image_link`
- Identifier group: at least one of `brand`, `mpn`, or `gtin`
- Duplicate product IDs
- Price, availability, and condition parse signals
- Product link reachability
- Image link reachability and content type
- Static landing-page price and availability signals

### Outputs

- Dataset rows: one row per finding
- `REPORT.json`: full structured report and evidence pack
- `REPORT.html`: readable report
- `REPORT.md`: Markdown report

### Billing

Pay-per-event billing is based only on sampled product pages that were fetched and compared. Invalid input and unreachable product pages are not charged as checked products.

### Boundary

This Actor does not log in to Meta, upload products, call Commerce Manager, review ad policy, or promise catalog acceptance, ad delivery, or sales performance. It records public feed and static landing-page signals observed at run time. Checksmith Cats is not affiliated with Meta, Facebook, or Instagram.

### Related tools

- Merchant Feed Preflight - Use when Google feed/page consistency is the target surface instead of Meta catalog shape.
- Scraped Dataset QA Preflight - Use when catalog rows come from a scraped dataset that needs generic QA first.
- Local Business NAP Consistency QA - Use when the dataset is local-business leads rather than product records.

# Actor input Schema

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

Public CSV, TSV, RSS, Atom, or XML product feed URL.

## `sampleLimit` (type: `integer`):

Maximum number of product rows to inspect.

## `defaultCurrency` (type: `string`):

Currency code used when a price value omits a currency signal.

## Actor input object example

```json
{
  "feedUrl": "https://example.com/meta-feed.csv",
  "sampleLimit": 25,
  "defaultCurrency": "USD"
}
```

# Actor output Schema

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

No description

## `report` (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 = {
    "feedUrl": "https://example.com/meta-feed.csv"
};

// Run the Actor and wait for it to finish
const run = await client.actor("checksmithcats/meta-catalog-preflight").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 = { "feedUrl": "https://example.com/meta-feed.csv" }

# Run the Actor and wait for it to finish
run = client.actor("checksmithcats/meta-catalog-preflight").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 '{
  "feedUrl": "https://example.com/meta-feed.csv"
}' |
apify call checksmithcats/meta-catalog-preflight --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=checksmithcats/meta-catalog-preflight",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/aKr9McECfzkYA7VKD/builds/xeOJk1En7kkUaZxIQ/openapi.json