# Midtown Comics Scraper - Comics & Graphic Novels (`lulzasaur/midtowncomics-scraper`) Actor

Scrape Midtown Comics product search: new comics, back issues, graphic novels & collectibles. Extract title, series, issue, publisher, price, availability, format, image, and URL. Search by keyword with pagination.

- **URL**: https://apify.com/lulzasaur/midtowncomics-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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 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

## Midtown Comics Scraper

Scrape product search results from [Midtown Comics](https://www.midtowncomics.com) — one of the largest comic-book retailers (new releases, back issues, graphic novels, and collectibles).

### What it does

Given a list of search queries, this Actor collects every matching product across all result pages and returns structured data for each.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQueries` | array | Search terms, e.g. `["batman", "spider-man"]`. One result set per query. |
| `maxListings` | integer | Max products per query (`0` = unlimited). Default `100`. |
| `proxyConfiguration` | object | Optional proxy. Not required — the site serves plain HTML. |

Example:

```json
{
  "searchQueries": ["batman"],
  "maxListings": 100
}
```

### Output

Each dataset item:

```json
{
  "productId": "2448413",
  "title": "Batman Vol 3 #163 Cover E Variant Jim Lee & Scott Williams ...",
  "series": "Batman Vol 3",
  "issue": "163",
  "publisher": "DC",
  "format": "Comic",
  "price": 8.5,
  "originalPrice": null,
  "currency": "USD",
  "availability": "Pre-Order",
  "releaseDate": "06/03/2026",
  "writers": ["Jeph Loeb"],
  "artists": ["Jim Lee", "Scott Williams"],
  "image": "https://www.midtowncomics.com/images/PRODUCT/FUL/2448413_ful.jpg",
  "url": "https://www.midtowncomics.com/p/2448413-batman-vol-3-163-cover-e-...",
  "searchQuery": "batman",
  "scrapedAt": "2026-07-09T00:00:00.000Z"
}
```

### Notes

- `series`, `issue`, and `format` are derived from the product title.
- `availability` is `In Stock` or `Pre-Order` (pull-list banner or future release date).
- `originalPrice` is populated only when the item is discounted.

### Use cases

Price comparison, collectible arbitrage, comic-shop inventory research, market monitoring for publishers and series.

# Actor input Schema

## `searchQueries` (type: `array`):

List of search terms to scrape on midtowncomics.com (e.g., 'batman', 'spider-man', 'saga omnibus'). Each query produces a separate set of results.

## `maxListings` (type: `integer`):

Maximum number of products to scrape per search query. Set to 0 for unlimited. Midtown Comics returns up to 100 products per page with automatic pagination.

## `proxyConfiguration` (type: `object`):

Proxy settings. Midtown Comics serves standard HTML directly, so no proxy is needed for typical runs.

## Actor input object example

```json
{
  "searchQueries": [
    "batman"
  ],
  "maxListings": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (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 = {
    "searchQueries": [
        "batman"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/midtowncomics-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 = { "searchQueries": ["batman"] }

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/midtowncomics-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 '{
  "searchQueries": [
    "batman"
  ]
}' |
apify call lulzasaur/midtowncomics-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zDmz7sIkkuCeuhU7B/builds/rhOMTGMsf5it658Ab/openapi.json