# Resumable Twitter reply scraper | Xquik

**Use case:** 

Resume large Twitter reply conversations with stable pagination, continuation cursors, deduplication, and run reports.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://x.com/OpenAI/status/2082577277246972300"
    }
  ],
  "tweetIds": [
    "2082577277246972300"
  ],
  "usernames": [
    "OpenAI",
    "@apify"
  ],
  "collectionStrategy": "auto",
  "scope": "all",
  "sort": "relevance",
  "includeOriginalPost": false,
  "maxItems": 100,
  "dedupeAcrossTargets": true,
  "excludeOriginalAuthor": false,
  "verifiedOnly": false,
  "blueVerifiedOnly": false,
  "hasMediaOnly": false,
  "outputMode": "full",
  "outputPreset": "flat",
  "fieldStyle": "source",
  "includeTargetMetadata": true,
  "useSearch": false,
  "includeOriginalTweet": false,
  "includeRaw": false
}
```

## Output

```json
{
  "rootTweetId": {
    "label": "Conversation root ID",
    "format": "string"
  },
  "parentReplyId": {
    "label": "Parent reply ID",
    "format": "string"
  },
  "depth": {
    "label": "Reply depth",
    "format": "integer"
  },
  "id": {
    "label": "Reply ID",
    "format": "string"
  },
  "authorUsername": {
    "label": "Author username",
    "format": "string"
  },
  "text": {
    "label": "Reply text",
    "format": "string"
  },
  "createdAt": {
    "label": "Created at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [X Reply Scraper | $0.15/1K Replies | Pay-Per-Result](https://apify.com/xquik/x-reply-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/xquik/x-reply-scraper.md) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/xquik/x-reply-scraper.md

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).