# X (Twitter) Tweet Details Scraper - Bulk Lookup by ID or URL (`seemuapps/x-tweet-details-scraper`) Actor

Hydrate a list of X (Twitter) tweet IDs or URLs into full data - text, author, timestamps, and all engagement metrics in one run. No login required.

- **URL**: https://apify.com/seemuapps/x-tweet-details-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Developer tools, Lead generation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 tweet 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

## X (Twitter) Tweet Details Scraper

Turn a list of X (Twitter) tweet IDs or links into full tweet data — text, author, timestamps, and every engagement metric — in a single run. No login, no cookies.

### What you get

For every tweet you submit:

- **Tweet fields** — tweet ID, URL, full text, creation date, language, and source (client) app
- **Engagement metrics** — retweets, replies, likes, quotes, views, and bookmarks
- **Reply context** — whether it's a reply, the parent tweet ID, the replied-to username, and the conversation ID
- **Author info** — username, user ID, display name, blue-verified status, verified type, follower count, location, and profile picture URL
- Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console

### Use cases

- **Enrich a dataset** — you have tweet IDs from another tool and need full metrics and author details
- **Engagement tracking** — snapshot like/retweet/view counts for a set of posts over time
- **Content research** — pull the exact text and stats of competitor or influencer posts
- **Archiving** — save the canonical data for specific tweets before they're deleted

### How to use

1. Paste tweet IDs or full tweet URLs into **Tweet IDs or URLs** (one per line — both formats work, mixed is fine)
2. Optionally set **Max Tweets** to cap how many are returned (0 = hydrate all of them)
3. Run the actor — results appear in the **Dataset** tab

### Output format

Each dataset record:

```json
{
  "tweetId": "1866332309399781537",
  "url": "https://x.com/user/status/1866332309399781537",
  "text": "Full tweet text…",
  "createdAt": "Wed Dec 11 18:22:04 +0000 2024",
  "lang": "en",
  "source": "Twitter for iPhone",
  "retweetCount": 128,
  "replyCount": 44,
  "likeCount": 2103,
  "quoteCount": 12,
  "viewCount": 154302,
  "bookmarkCount": 87,
  "isReply": false,
  "inReplyToId": null,
  "inReplyToUsername": null,
  "conversationId": "1866332309399781537",
  "authorUsername": "example",
  "authorUserId": "44196397",
  "authorName": "Example",
  "authorIsBlueVerified": true,
  "authorVerifiedType": null,
  "authorFollowersCount": 210394,
  "authorLocation": "San Francisco, CA",
  "authorProfilePicture": "https://pbs.twimg.com/profile_images/…"
}
```

### Notes

- Invalid or duplicate IDs are skipped automatically, so you can paste messy lists.
- Free-tier runs are limited; upgrade to a paid plan to remove the cap and hydrate unlimited tweets per run.

# Actor input Schema

## `tweetIds` (type: `array`):

One tweet per line. Accepts numeric tweet IDs or full tweet URLs (https://x.com/user/status/<id>). Duplicates and invalid entries are ignored.

## `maxItems` (type: `integer`):

Maximum tweets to return. Set 0 to hydrate every ID you provide.

## Actor input object example

```json
{
  "tweetIds": [
    "https://x.com/elonmusk/status/2050965645991522635",
    "1866332309399781537"
  ],
  "maxItems": 0
}
```

# Actor output Schema

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

One row per tweet: tweetId, url, text, createdAt, lang, source, engagement counts (retweets, replies, likes, quotes, views, bookmarks), reply context, and author info.

# 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 = {
    "tweetIds": [
        "https://x.com/elonmusk/status/2050965645991522635",
        "1866332309399781537"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/x-tweet-details-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 = { "tweetIds": [
        "https://x.com/elonmusk/status/2050965645991522635",
        "1866332309399781537",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/x-tweet-details-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 '{
  "tweetIds": [
    "https://x.com/elonmusk/status/2050965645991522635",
    "1866332309399781537"
  ]
}' |
apify call seemuapps/x-tweet-details-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/lxK6UsPkE31wLIcsy/builds/17oNmE9jupsQmnACU/openapi.json