# Twitter Post Scraper – X Text, Media & Engagement (`scrapingmonkey/twitter-post-details-scraper`) Actor

Extract public Twitter (X) posts by URL. Get text, authors, engagement, media links, video variants, mentions and available quote or repost context in one post row.

- **URL**: https://apify.com/scrapingmonkey/twitter-post-details-scraper.md
- **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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`.
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- **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

Extract public Twitter (X) posts from known URLs, with the text, author, engagement and media kept together. **Twitter Post Scraper** returns one row per post, including available quote or repost context, expanded links and video variants.

Use it to compare campaign content, document public announcements or add post-level evidence to research and reporting.

| At a glance | Details |
|---|---|
| 📥 Input | Full X or Twitter post URLs |
| 📤 Output | Text, author, counts, media, links, quote or repost context and edit metadata |
| 🔐 Login required | No Twitter (X) credentials or cookies |
| ⚡ Processing | Up to 5 requests concurrently with automatic retries |
| 💾 Delivery | One post row in one table, with matching JSON fields |

### What the Twitter (X) post scraper extracts 🔎

The Actor collects the requested post and the supporting details X includes with it. Long note-post text is used when available.

- Post ID, canonical URL, text, publication date, language and content type
- Author identity, profile links, bio, public counts and account flags
- Available like, reply, repost, quote, bookmark and view counts
- Hashtags, cashtags, mentions and expanded links
- Images, video URLs, thumbnails, dimensions, alt text and available video variants
- Reply context, community reference, link-card values and edit metadata
- Quoted and reposted content included with the response, up to two embedded levels

### How to scrape Twitter (X) posts 🚀

1. Add a full X or Twitter post URL.
2. Include additional post links in `inputList` for a batch.
3. Start the Actor and check each result's status.
4. Export the post rows for analysis or reporting.

```json
{
  "inputList": [
    "https://x.com/NASA/status/2088355206723477740"
  ]
}
```

Repeated valid links that resolve to the same ID are normally processed once per run.

### Twitter (X) post data fields and complete output 📦

| Field group | Included data |
|---|---|
| Post | ID, URL, text, type, dates, language and source |
| Author | Available profile identity, bio, links, counts and account flags |
| Engagement | Likes, replies, reposts, quotes, bookmarks and views |
| Media and references | Images, videos, variants, hashtags, cashtags, mentions and links |
| Context | Reply targets, community, card data, quoted or reposted content and edit metadata |

Complete illustrative success item with fictional content, not a live result:

```json
{
  "input": "https://x.com/northstar_lab/status/2088355206723477000",
  "status": "success",
  "id": "2088355206723477000",
  "url": "https://x.com/northstar_lab/status/2088355206723477000",
  "type": "mixed_media",
  "text": "Our field research plan is ready. Thanks @maya_fieldnotes. Read the guide: https://t.co/FieldGuide #Fieldwork",
  "created_at": "2026-09-01T10:00:00Z",
  "created_timestamp": 1788256800,
  "language": "en",
  "source": "X Web App",
  "author.id": "100100100",
  "author.username": "northstar_lab",
  "author.name": "Northstar Lab",
  "author.profile_url": "https://x.com/northstar_lab",
  "author.description": "Research, field notes and conversations about science.",
  "author.location": "Singapore",
  "author.created_at": "2021-01-15T09:00:00Z",
  "author.created_timestamp": 1610701200,
  "author.followers_count": 4200,
  "author.following_count": 180,
  "author.posts_count": 640,
  "author.media_posts_count": 86,
  "author.likes_given_count": 320,
  "author.highlights_count": 8,
  "author.avatar_url": "https://example.com/northstar_lab_normal.jpg",
  "author.avatar_url_hd": "https://example.com/northstar_lab_400x400.jpg",
  "author.banner_url": "https://example.com/lab-banner.jpg",
  "author.website.url": "https://t.co/LabSite",
  "author.website.expanded_url": "https://example.com/lab",
  "author.bio_links.url": ["https://t.co/LabSite"],
  "author.bio_links.expanded_url": ["https://example.com/lab"],
  "author.bio_links.display_url": ["example.com/lab"],
  "author.is_verified": false,
  "author.verified_type": "",
  "author.is_blue_verified": false,
  "author.is_identity_verified": false,
  "author.verification_description": "",
  "author.verified_since_at": "",
  "author.is_protected": false,
  "author.possibly_sensitive": false,
  "author.professional_type": "Business",
  "author.affiliates_count": 0,
  "author.creator_subscriptions_count": 0,
  "author.can_highlight_posts": true,
  "author.can_receive_messages": false,
  "author.can_be_media_tagged": false,
  "author.description_language": "en",
  "author.profile_image_shape": "Circle",
  "author.pinned_post_ids": ["2088355206723477000"],
  "author.birthdate.day": 0,
  "author.birthdate.month": 0,
  "author.birthdate.year": 0,
  "author.birthdate.visibility": "",
  "author.birthdate.year_visibility": "",
  "like_count": 84,
  "reply_count": 7,
  "repost_count": 12,
  "quote_count": 3,
  "bookmark_count": 9,
  "view_count": 4200,
  "conversation_id": "2088355206723477000",
  "reply_to_post_id": "",
  "reply_to_user_id": "",
  "reply_to_username": "",
  "is_reply": false,
  "is_quote": true,
  "is_repost": false,
  "is_note_post": false,
  "possibly_sensitive": false,
  "is_translatable": true,
  "has_community_note": false,
  "hashtags": ["Fieldwork"],
  "cashtags": [],
  "mentions.id": ["100100200"],
  "mentions.username": ["maya_fieldnotes"],
  "mentions.name": ["Maya Chen"],
  "mentions.profile_url": ["https://x.com/maya_fieldnotes"],
  "links.url": ["https://t.co/FieldGuide"],
  "links.expanded_url": ["https://example.com/field-guide"],
  "links.display_url": ["example.com/field-guide"],
  "media.id": ["200100300", "200100400"],
  "media.type": ["video", "image"],
  "media.image_url": ["https://example.com/field-briefing.jpg", "https://example.com/sampling-checklist.jpg"],
  "media.video_url": ["https://example.com/field-briefing-1080.mp4", ""],
  "media.expanded_url": ["https://x.com/northstar_lab/status/2088355206723477000/video/1", "https://x.com/northstar_lab/status/2088355206723477000/photo/2"],
  "media.alt_text": ["A short briefing on the field sampling plan", "A checklist of sampling equipment"],
  "media.width": [1920, 1200],
  "media.height": [1080, 800],
  "media.duration_ms": [30000, 0],
  "media.aspect_ratio": [[16, 9], []],
  "media.video_variants.url": [["https://example.com/field-briefing-720.mp4", "https://example.com/field-briefing-1080.mp4"], []],
  "media.video_variants.content_type": [["video/mp4", "video/mp4"], []],
  "media.video_variants.bitrate": [[832000, 2176000], []],
  "card.id": "2088355206723477200",
  "card.name": "summary_large_image",
  "card.url": "https://example.com/field-guide",
  "card.values.path": ["/title", "/description", "/thumbnail_image/url", "/thumbnail_image/width", "/thumbnail_image/height"],
  "card.values.value": ["Field research guide", "Planning and recording field observations.", "https://example.com/guide-cover.jpg", 1200, 628],
  "community.id": "",
  "community.name": "",
  "quoted_post.id": "2088355206723476000",
  "quoted_post.url": "https://x.com/maya_fieldnotes/status/2088355206723476000",
  "quoted_post.type": "text",
  "quoted_post.text": "A clear sampling question makes the rest of the field plan easier to review.",
  "quoted_post.created_at": "2026-09-01T08:00:00Z",
  "quoted_post.created_timestamp": 1788249600,
  "quoted_post.language": "en",
  "quoted_post.source": "X Web App",
  "quoted_post.author.id": "100100200",
  "quoted_post.author.username": "maya_fieldnotes",
  "quoted_post.author.name": "Maya Chen",
  "quoted_post.author.profile_url": "https://x.com/maya_fieldnotes",
  "quoted_post.author.description": "Research, field notes and conversations about science.",
  "quoted_post.author.location": "Singapore",
  "quoted_post.author.created_at": "2021-01-15T09:00:00Z",
  "quoted_post.author.created_timestamp": 1610701200,
  "quoted_post.author.followers_count": 4200,
  "quoted_post.author.following_count": 180,
  "quoted_post.author.posts_count": 640,
  "quoted_post.author.media_posts_count": 86,
  "quoted_post.author.likes_given_count": 320,
  "quoted_post.author.highlights_count": 8,
  "quoted_post.author.avatar_url": "https://example.com/maya_fieldnotes_normal.jpg",
  "quoted_post.author.avatar_url_hd": "https://example.com/maya_fieldnotes_400x400.jpg",
  "quoted_post.author.banner_url": "https://example.com/lab-banner.jpg",
  "quoted_post.author.website.url": "https://t.co/LabSite",
  "quoted_post.author.website.expanded_url": "https://example.com/lab",
  "quoted_post.author.bio_links.url": ["https://t.co/LabSite"],
  "quoted_post.author.bio_links.expanded_url": ["https://example.com/lab"],
  "quoted_post.author.bio_links.display_url": ["example.com/lab"],
  "quoted_post.author.is_verified": false,
  "quoted_post.author.verified_type": "",
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  "reposted_post.reposted_post.card.values.path": null,
  "reposted_post.reposted_post.card.values.value": null,
  "reposted_post.reposted_post.community.id": null,
  "reposted_post.reposted_post.community.name": null,
  "reposted_post.reposted_post.quoted_post": null,
  "reposted_post.reposted_post.reposted_post": null,
  "reposted_post.reposted_post.edit_info.is_edit_eligible": null,
  "reposted_post.reposted_post.edit_info.editable_until": null,
  "reposted_post.reposted_post.edit_info.edits_remaining": null,
  "reposted_post.reposted_post.edit_info.edit_post_ids": null,
  "reposted_post.edit_info.is_edit_eligible": null,
  "reposted_post.edit_info.editable_until": null,
  "reposted_post.edit_info.edits_remaining": null,
  "reposted_post.edit_info.edit_post_ids": null,
  "edit_info.is_edit_eligible": false,
  "edit_info.editable_until": "",
  "edit_info.edits_remaining": 0,
  "edit_info.edit_post_ids": []
}
```

The table and JSON share literal field names such as `author.username`. Lists for a collection align by position; `media.video_variants.url` contains one inner variant list per media item. Optional quote and repost branches remain null where no embedded content exists.

Link-card data uses `card.values.path` and `card.values.value`: each path identifies a card field, and the value at the same position holds its content. The same arrangement is used within quoted or reposted card fields.

Successful rows can contain empty strings, zero counts, false flags, empty lists or null optional branches when a value is unavailable. A failed row retains `input`, sets `status` to `failed` and leaves the entity data fields null.

### Input requirements and coverage ⚙️

| Parameter | Type | Required | Default and rules |
|---|---|---|---|
| `inputList` | array of strings | Yes | No default; at least one item. No fixed input-count maximum. |

Submit full HTTP or HTTPS X/Twitter post links, including `/username/status/ID`, `/i/status/ID` or `/i/web/status/ID` forms. Links ending in a photo or video item are also accepted. Bare IDs and profile URLs are not accepted.

This Actor looks up individual posts. It does not crawl a profile timeline or paginate replies. An Article post can be identified by type, but use Article Details Scraper for the attached Article's full set of content fields.

### Twitter (X) post data use cases 🎯

#### Campaign comparisons

Review text, creative references and visible engagement for selected posts in a campaign.

#### Announcement records

Keep public post URLs, publication dates and author context with the statements they support.

#### Media and link audits

Inspect image descriptions, video variants, hashtags and expanded destinations in posts you manage.

#### Quote and repost research

Retain available embedded source posts to understand the context around a quoted or shared message.

### Pricing and billable posts 💰

Check the Actor's **Pricing** tab for the current charging model and rate. The Store configuration is authoritative.

Under dataset-item pricing, each saved success or failed row can count as a billable item. Automatic retries do not independently add result rows.

One processed post URL creates one result row. Media, author details and embedded quote or repost records do not create additional items.

### Twitter (X) post API and integrations 🔌

Replace `$ACTOR_ID` with the ID shown in the Actor API tab and `$APIFY_TOKEN` with your Apify token.

```bash
curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"inputList":["https://x.com/NASA/status/2088355206723477740"]}'
```

Start runs through REST, Apify client libraries or schedules. Use webhooks to handle completion, then export the dataset as JSON, CSV or Excel, or send it to Google Sheets, Make, Zapier and your reporting tools.

### Reliability and limits ⚠️

Temporary request failures and selected access errors are retried automatically. The returned post must match the requested ID; unavailable posts produce failed rows.

Some posts expose only part of their media, author or engagement data. Missing counts can default to zero, and a false flag can mean the value was not exposed. Video URLs and image URLs may expire; the Actor does not download files.

Quoted and reposted content is read only when embedded in the response and is limited to two levels. Reply counts and reply-target IDs do not mean that a complete conversation has been collected. The community-note field is a flag, not the note text, and edit metadata does not include a full revision history.

### Frequently asked questions ❓

#### Does it collect all replies?

No. It returns reply counts and reply-target context, without crawling the conversation.

#### Does it save image or video files?

No. It returns available media URLs and variants. For video\_url it chooses the highest-bitrate MP4 present in the response.

#### Are long posts supported?

Available note-post text is preferred over the shorter post text when X supplies it.

#### How much quoted or reposted content is included?

Embedded content can be included up to two levels deep. Referenced posts are not fetched as a separate recursive crawl.

#### Does it return Community Note text?

No. has\_community\_note is an available flag; the note body is not collected.

### Support, responsible use, and related actors 🛟

For a reproducible issue, contact support with the run ID, approximate time and a safe public input. Keep credentials and private data out of support messages.

Use public data in line with applicable privacy, copyright and platform requirements.

# Actor input Schema

## `inputList` (type: `array`):

Add one full X or Twitter post URL per item. Raw post IDs are not accepted.

## Actor input object example

```json
{
  "inputList": [
    "https://x.com/NASA/status/2088355206723477740"
  ]
}
```

# Actor output Schema

## `posts` (type: `string`):

Dataset rows with success or failed status.

# 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 = {
    "inputList": [
        "https://x.com/NASA/status/2088355206723477740"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapingmonkey/twitter-post-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 = { "inputList": ["https://x.com/NASA/status/2088355206723477740"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapingmonkey/twitter-post-details-scraper").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 '{
  "inputList": [
    "https://x.com/NASA/status/2088355206723477740"
  ]
}' |
apify call scrapingmonkey/twitter-post-details-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/twitter-post-details-scraper"
        }
    }
}

```

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/zDnwHpK1AYzh0ji3e/builds/sc2zgX9wlIrlZqRyy/openapi.json