# Hongguo Batch Video Parser (`dramadatalab/hongguo-batch-video-parser`) Actor

Parse up to ten unique Hongguo episode IDs in one request, with item-level success and error records.

- **URL**: https://apify.com/dramadatalab/hongguo-batch-video-parser.md
- **Developed by:** [Drama Data Lab](https://apify.com/dramadatalab) (community)
- **Categories:** Videos, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 1,000 parsed video episodes

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

## Hongguo Batch Video URL Parser

Parse up to ten unique Hongguo episode IDs in one upstream request. Successful episodes produce normalized playable results; failed items remain visible with clear error fields and do not trigger a video-result charge.

### Why use the batch parser?

- Submit up to ten unique `videoId` values per run
- Reduce workflow overhead compared with separate single-parser runs
- Keep success and failure records together
- Pay `video-result` only for unique successful episodes with non-empty URLs
- Receive all available qualities with `quality: all` while charging each successful episode once

### Quick start

```json
{
  "videoIds": [
    "7601395019102047257",
    "7625142218017229849"
  ],
  "quality": "1080p",
  "strict": false
}
```

Duplicate IDs are removed before the maximum of ten unique IDs is enforced. Supported qualities: `2160p`, `1080p`, `720p`, `540p`, `480p`, `360p`, and `all`.

### Call with curl

```bash
curl -L "https://api.apify.com/v2/actors/dramadatalab~hongguo-batch-video-parser/run-sync-get-dataset-items?timeout=120" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"videoIds":["7601395019102047257","7625142218017229849"],"quality":"1080p","strict":false}'
```

### Call with JavaScript

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

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('dramadatalab/hongguo-batch-video-parser').call({
    videoIds: ['7601395019102047257', '7625142218017229849'],
    quality: '1080p',
    strict: false,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const successful = items.filter((item) => item.status === 'success');
const failed = items.filter((item) => item.status === 'error');
console.log({ successful, failed });
```

### Call with Python

```python
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("dramadatalab/hongguo-batch-video-parser").call(run_input={
    "videoIds": ["7601395019102047257", "7625142218017229849"],
    "quality": "1080p",
    "strict": False,
})
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(items)
```

### Example successful item

```json
{
  "status": "success",
  "videoId": "7601395019102047257",
  "url": "https://example.invalid/temporary-playback-url",
  "requestedQuality": "1080p",
  "quality": "1080p",
  "codec": "h264",
  "width": 1080,
  "height": 1920,
  "traceId": "request-trace-id"
}
```

### Example failed item

```json
{
  "status": "error",
  "videoId": "invalid-or-unavailable-id",
  "errorCode": "PARSE_FAILED",
  "errorMessage": "No playable URL was returned.",
  "traceId": "request-trace-id"
}
```

Example URLs are intentionally non-functional. Live playback URLs may expire.

### Pricing

| Event | Price | When it is charged |
| --- | ---: | --- |
| Actor start | `$0.00005` | Once per run at up to 1 GB memory |
| Successful video result | `$0.006` | Per unique successful episode with a non-empty URL |

| Successful unique episodes | Typical total |
| ---: | ---: |
| 1 | `$0.00605` |
| 5 | `$0.03005` |
| 10 | `$0.06005` |

Failed items are free. If the run spending limit covers only part of the successful batch, only the paid subset of successful URLs is published. Platform usage is included.

### Troubleshooting

- **More than ten IDs:** split the input across multiple runs.
- **Duplicates:** they are automatically removed and never charged twice.
- **Partial success:** inspect `status`, `errorCode`, and `errorMessage` per item.
- **Run spending limit reached:** allow `$0.00005 + $0.006 × expectedSuccessfulEpisodes`.
- **Expired URLs:** rerun the Actor for current results.

### Related Actors

- [Hongguo Drama Search](https://apify.com/dramadatalab/hongguo-drama-search) — find titles and `bookId` values.
- [Hongguo Drama Episodes](https://apify.com/dramadatalab/hongguo-drama-episodes) — list episode `videoId` values.
- [Hongguo Video Parser](https://apify.com/dramadatalab/hongguo-video-parser) — detailed parsing for one ID.
- [Hongguo Direct Video](https://apify.com/dramadatalab/hongguo-direct-video) — automatic direct-route resolution for one ID.
- [Hongguo Latest Releases](https://apify.com/dramadatalab/hongguo-latest-releases) — discover newly released titles.
- [Hongguo Release Calendar](https://apify.com/dramadatalab/hongguo-release-calendar) — browse releases by date.
- [Hongguo Drama Rankings](https://apify.com/dramadatalab/hongguo-drama-rankings) — discover ranked titles.

Use this Actor only for content you are authorized to access and process. Respect applicable copyright, contract, and platform rules.

# Actor input Schema

## `videoIds` (type: `array`):

Episode video IDs. Duplicate IDs are removed, and at most ten unique IDs are accepted.

## `quality` (type: `string`):

Requested quality. all returns every available quality per item.

## `strict` (type: `boolean`):

Require the exact quality for every item.

## Actor input object example

```json
{
  "videoIds": [
    "7601395019102047257"
  ],
  "quality": "1080p",
  "strict": 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 = {
    "videoIds": [
        "7601395019102047257"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dramadatalab/hongguo-batch-video-parser").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 = { "videoIds": ["7601395019102047257"] }

# Run the Actor and wait for it to finish
run = client.actor("dramadatalab/hongguo-batch-video-parser").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 '{
  "videoIds": [
    "7601395019102047257"
  ]
}' |
apify call dramadatalab/hongguo-batch-video-parser --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dramadatalab/hongguo-batch-video-parser"
        }
    }
}
```

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/gfV6xN5kjkI6ar6Zl/builds/0ZZTRf5VTgIHQfvNR/openapi.json