# Twitter Scraper Ultra (`knowten/twitter-scraper-ultra`) Actor
The fastest X.com scraper at $0.30/1k tweets — with built-in AI Sentiment Analysis (0.0 to 1.0 scale). 600+ tweets/min, zero browser overhead, advanced filters included.
- **URL**: https://apify.com/knowten/twitter-scraper-ultra.md
- **Developed by:** [Knowten](https://apify.com/knowten) (community)
- **Categories:** AI, News, Social media
- **Stats:** 0 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.30 / 1,000 standard tweets
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
High-speed X.com extraction with built-in AI sentiment scoring.
---
### TL;DR
**X-Cavator** scrapes X.com at 600+ tweets per minute. It can optionally enrich each tweet with a decimal **AI Sentiment Score** from **0.00 to 1.00**, where **0.50** means objective or neutral.
Quick start:
```json
{
"searchTerms": ["from:NASA"],
"sort": "Latest",
"maxItems": 1000
}
````
***
### AI Sentiment Score
When Premium AI is enabled, each tweet gets a decimal `sentimentScore`.
| Score | Meaning |
|:---:|:---|
| `1.00` | Extremely positive |
| `0.75` | Positive |
| `0.50` | Neutral / objective |
| `0.25` | Negative |
| `0.00` | Extremely negative |
Implementation notes:
- Shorter sentence-level analysis improves precision.
- Objective content stays at `0.50`.
- Mixed tweets are aggregated from sentence scores.
- The prompt is kept compact to reduce token usage.
Example output:
```json
{
"type": "tweet",
"id": "1728108619189874825",
"text": "This product completely changed my workflow, absolutely love it!",
"sentimentScore": 0.91,
"likeCount": 8400,
"retweetCount": 1230,
"lang": "en",
"author": {
"userName": "techreviewer",
"followers": 58200,
"isBlueVerified": true
}
}
```
***
### Query Builder
You can pass full raw queries directly:
```text
artemis (from:NASA OR from:SpaceX OR from:elonmusk)
```
Or build the same search with structured input:
```json
{
"searchTerms": ["artemis"],
"tweetAuthors": ["NASA", "SpaceX", "elonmusk"],
"sort": "Latest",
"maxItems": 200
}
```
`twitterHandles` still scrapes profile timelines directly. `tweetAuthors` is for filtering search queries across multiple authors.
***
### Input Parameters
| Field | Type | Description | Default |
|:---|:---|:---|:---|
| `searchTerms` | `array` | Keywords, hashtags, or full advanced search queries | `[]` |
| `twitterHandles` | `array` | Profiles to scrape directly; if there are multiple handles, the quota is split evenly between them | `[]` |
| `maxItems` | `number` | Max tweets to extract across all queries and profiles; for multiple `twitterHandles`, this total is divided evenly | `100` |
| `sort` | `string` | `Latest` or `Top` | `Latest` |
| `tweetLanguage` | `string` | ISO 639-1 language code | `all` |
| `startDate` | `string` | Only get tweets after this date | `null` |
| `endDate` | `string` | Only get tweets before this date | `null` |
| `onlyVerifiedUsers` | `boolean` | Restrict to verified accounts | `false` |
| `onlyTwitterBlue` | `boolean` | Restrict to Twitter Blue accounts | `false` |
| `onlyImage` | `boolean` | Only tweets with images | `false` |
| `onlyVideo` | `boolean` | Only tweets with video | `false` |
| `onlyQuote` | `boolean` | Only quote tweets | `false` |
| `tweetAuthor` | `string` | Filter by one author handle; comma-separated handles are also accepted | `null` |
| `tweetAuthors` | `array` | Filter search results to multiple author handles joined with `OR` | `[]` |
| `mentioning` | `string` | Only tweets mentioning this handle | `null` |
| `inReplyTo` | `string` | Only replies to this handle | `null` |
| `minimumFavorites` | `number` | Min likes threshold | `null` |
| `minimumRetweets` | `number` | Min retweets threshold | `null` |
| `minimumReplies` | `number` | Min replies threshold | `null` |
| `geotaggedNear` | `string` | Location name | `null` |
| `withinRadius` | `string` | Radius for `geotaggedNear` | `null` |
| `geocode` | `string` | Strict geo via `lat,long,radius` | `null` |
| `enablePremiumAi` | `boolean` | Add decimal AI sentiment scoring per tweet | `false` |
***
### Usage Examples
Scrape a profile:
```json
{ "twitterHandles": ["NASA"], "maxItems": 500 }
```
Scrape multiple profiles with an even split:
```json
{ "twitterHandles": ["NASA", "elonmusk", "SpaceX"], "maxItems": 100 }
```
This runs as `34 + 33 + 33`.
Search with date range:
```json
{
"searchTerms": ["artificial intelligence since:2024-01-01 until:2024-12-31"],
"sort": "Top",
"maxItems": 2000
}
```
Brand sentiment monitoring:
```json
{
"searchTerms": ["Tesla", "@Tesla"],
"sort": "Latest",
"maxItems": 5000,
"enablePremiumAi": true
}
```
Search a topic across multiple authors:
```json
{
"searchTerms": ["artemis"],
"tweetAuthors": ["NASA", "SpaceX", "elonmusk"],
"sort": "Latest",
"maxItems": 200
}
```
***
### Output Schema
```json
{
"type": "tweet",
"id": "1728108619189874825",
"url": "https://x.com/elonmusk/status/1728108619189874825",
"text": "More than 10 per human on average",
"sentimentScore": 0.34,
"likeCount": 104121,
"retweetCount": 11311,
"replyCount": 6526,
"quoteCount": 2915,
"bookmarkCount": 702,
"lang": "en",
"createdAt": "Fri Nov 24 17:49:36 +0000 2023",
"isReply": false,
"isRetweet": false,
"isQuote": true,
"author": {
"userName": "elonmusk",
"name": "Elon Musk",
"followers": 172669889,
"isVerified": true,
"isBlueVerified": true,
"profilePicture": "https://pbs.twimg.com/profile_images/..."
}
}
```
`sentimentScore` is only present when Premium AI is enabled. `0.50` means objective or neutral.
***
### Troubleshooting
| Problem | Solution |
|:---|:---|
| Getting 0 results | Check if your query is too restrictive. Test it on `twitter.com/search` first. |
| Fewer results than expected | Try `Top` instead of `Latest`. Some periods have lower search coverage. |
| AI not running | Make sure `enablePremiumAi` is `true`. |
| Missing tweets | X may suppress or limit some content. Try a different date range or sort mode. |
***
### Ethical Use
X-Cavator extracts publicly available data only. Users are responsible for complying with applicable privacy and data protection rules when handling results.
# Actor input Schema
## `searchTerms` (type: `array`):
Enter keywords, hashtags, or full advanced search queries. Supports Twitter/X advanced search syntax.
## `twitterHandles` (type: `array`):
Extract directly from specific handles. No @ required. When multiple handles are provided, maxItems is split evenly across them.
## `maxItems` (type: `integer`):
Total number of tweets to extract. For multiple twitterHandles, this total is split evenly across the handles.
## `sort` (type: `string`):
Choose between real-time data or most popular results.
## `tweetLanguage` (type: `string`):
Restrict results to a specific language.
## `onlyVerifiedUsers` (type: `boolean`):
If enabled, only tweets from verified accounts will be returned.
## `onlyImage` (type: `boolean`):
Filter results to only include tweets with images.
## `onlyVideo` (type: `boolean`):
Filter results to only include tweets with videos.
## `minimumFavorites` (type: `integer`):
Minimum number of likes for a tweet to be included.
## `minimumRetweets` (type: `integer`):
Minimum number of retweets for a tweet to be included.
## `startDate` (type: `string`):
Extract tweets posted after this date.
## `endDate` (type: `string`):
Extract tweets posted before this date.
## `onlyTwitterBlue` (type: `boolean`):
Filter results to only include tweets from Twitter Blue subscribers.
## `onlyQuote` (type: `boolean`):
Filter results to only include quote tweets.
## `tweetAuthor` (type: `string`):
Only get tweets from this specific user. You can also pass comma-separated handles.
## `tweetAuthors` (type: `array`):
Limit search results to multiple author handles. Queries are combined as (from:a OR from:b OR from:c).
## `inReplyTo` (type: `string`):
Only get tweets that are sent in reply to this user.
## `mentioning` (type: `string`):
Only get tweets mentioning this user.
## `minimumReplies` (type: `integer`):
Minimum number of replies for a tweet to be included.
## `geotaggedNear` (type: `string`):
Get tweets near this location (for example, New York, NY).
## `withinRadius` (type: `string`):
Radius for Geotagged Near (for example, 15mi or 20km).
## `geocode` (type: `string`):
Strict location via lat,long,radius (for example, 37.781157,-122.398720,1mi).
## `placeObjectId` (type: `string`):
Twitter place ID (for example, df51dec6f4ee2b2c for Washington DC).
## `enablePremiumAi` (type: `boolean`):
Adds a decimal sentiment score from 0.00 to 1.00 for each tweet, where 0.50 is objective or neutral.
## Actor input object example
```json
{
"searchTerms": [
"artificial intelligence"
],
"maxItems": 100,
"sort": "Latest",
"tweetLanguage": "all",
"onlyVerifiedUsers": false,
"onlyImage": false,
"onlyVideo": false,
"onlyTwitterBlue": false,
"onlyQuote": false,
"enablePremiumAi": false
}
```
# Actor output Schema
## `results` (type: `string`):
The main collection of extracted tweets with engagement metrics and AI sentiment scores.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchTerms": [
"artificial intelligence"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("knowten/twitter-scraper-ultra").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "searchTerms": ["artificial intelligence"] }
# Run the Actor and wait for it to finish
run = client.actor("knowten/twitter-scraper-ultra").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 '{
"searchTerms": [
"artificial intelligence"
]
}' |
apify call knowten/twitter-scraper-ultra --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=knowten/twitter-scraper-ultra",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Twitter Scraper Ultra",
"description": "The fastest X.com scraper at $0.30/1k tweets — with built-in AI Sentiment Analysis (0.0 to 1.0 scale). 600+ tweets/min, zero browser overhead, advanced filters included.",
"version": "0.0",
"x-build-id": "p9wMZBISqBUoTch3j"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/knowten~twitter-scraper-ultra/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-knowten-twitter-scraper-ultra",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/knowten~twitter-scraper-ultra/runs": {
"post": {
"operationId": "runs-sync-knowten-twitter-scraper-ultra",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/knowten~twitter-scraper-ultra/run-sync": {
"post": {
"operationId": "run-sync-knowten-twitter-scraper-ultra",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"maxItems"
],
"properties": {
"searchTerms": {
"title": "Search Terms / Queries",
"type": "array",
"description": "Enter keywords, hashtags, or full advanced search queries. Supports Twitter/X advanced search syntax.",
"items": {
"type": "string"
}
},
"twitterHandles": {
"title": "Twitter Profiles",
"type": "array",
"description": "Extract directly from specific handles. No @ required. When multiple handles are provided, maxItems is split evenly across them.",
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Max Tweets (Total)",
"minimum": 1,
"type": "integer",
"description": "Total number of tweets to extract. For multiple twitterHandles, this total is split evenly across the handles.",
"default": 100
},
"sort": {
"title": "Sort Strategy",
"enum": [
"Latest",
"Top"
],
"type": "string",
"description": "Choose between real-time data or most popular results.",
"default": "Latest"
},
"tweetLanguage": {
"title": "Target Language",
"enum": [
"all",
"en",
"es",
"pt",
"fr",
"de",
"it",
"jp",
"zh",
"ru"
],
"type": "string",
"description": "Restrict results to a specific language.",
"default": "all"
},
"onlyVerifiedUsers": {
"title": "Verified Only",
"type": "boolean",
"description": "If enabled, only tweets from verified accounts will be returned.",
"default": false
},
"onlyImage": {
"title": "Image Only",
"type": "boolean",
"description": "Filter results to only include tweets with images.",
"default": false
},
"onlyVideo": {
"title": "Video Only",
"type": "boolean",
"description": "Filter results to only include tweets with videos.",
"default": false
},
"minimumFavorites": {
"title": "Min. Likes",
"minimum": 0,
"type": "integer",
"description": "Minimum number of likes for a tweet to be included."
},
"minimumRetweets": {
"title": "Min. Retweets",
"minimum": 0,
"type": "integer",
"description": "Minimum number of retweets for a tweet to be included."
},
"startDate": {
"title": "Since (Start Date)",
"type": "string",
"description": "Extract tweets posted after this date."
},
"endDate": {
"title": "Until (End Date)",
"type": "string",
"description": "Extract tweets posted before this date."
},
"onlyTwitterBlue": {
"title": "Only Twitter Blue",
"type": "boolean",
"description": "Filter results to only include tweets from Twitter Blue subscribers.",
"default": false
},
"onlyQuote": {
"title": "Only Quote Tweets",
"type": "boolean",
"description": "Filter results to only include quote tweets.",
"default": false
},
"tweetAuthor": {
"title": "Tweet Author",
"type": "string",
"description": "Only get tweets from this specific user. You can also pass comma-separated handles."
},
"tweetAuthors": {
"title": "Tweet Authors (Multi-search)",
"type": "array",
"description": "Limit search results to multiple author handles. Queries are combined as (from:a OR from:b OR from:c).",
"items": {
"type": "string"
}
},
"inReplyTo": {
"title": "In Reply To",
"type": "string",
"description": "Only get tweets that are sent in reply to this user."
},
"mentioning": {
"title": "Mentioning",
"type": "string",
"description": "Only get tweets mentioning this user."
},
"minimumReplies": {
"title": "Min. Replies",
"minimum": 0,
"type": "integer",
"description": "Minimum number of replies for a tweet to be included."
},
"geotaggedNear": {
"title": "Geotagged Near",
"type": "string",
"description": "Get tweets near this location (for example, New York, NY)."
},
"withinRadius": {
"title": "Within Radius",
"type": "string",
"description": "Radius for Geotagged Near (for example, 15mi or 20km)."
},
"geocode": {
"title": "Geocode",
"type": "string",
"description": "Strict location via lat,long,radius (for example, 37.781157,-122.398720,1mi)."
},
"placeObjectId": {
"title": "Place Object ID",
"type": "string",
"description": "Twitter place ID (for example, df51dec6f4ee2b2c for Washington DC)."
},
"enablePremiumAi": {
"title": "Enable Premium AI Sentiment Analysis",
"type": "boolean",
"description": "Adds a decimal sentiment score from 0.00 to 1.00 for each tweet, where 0.50 is objective or neutral.",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```