X Twitter Scraper API – Tweets, Search & Profiles

💸 $0.14 per 1,000 tweets — about 3× cheaper than the most popular Twitter / X scraper on Apify Store ($0.40 per 1,000 on the free plan). Pay only for the tweets you get. No monthly rental, no subscription, no login or cookies needed.

💰 Pricing: what will my run cost?

You scrape	You pay
100 tweets	$0.014
1,000 tweets	$0.14
10,000 tweets	$1.40
100,000 tweets	$14.00

• Platform usage is included. You don't pay extra for compute — the price above is the whole bill (plus a tiny $0.00005 per run start).
• No results, no charge. If a URL or username returns nothing, you aren't charged for it.
• Try it free. Apify's free plan includes $5 of credit every month — enough for about 35,000 tweets with this Actor.

💡 Keep your costs predictable

1. Set a small limit (e.g. 100 items) on your first run to check the data.
2. Use Max cost per run in the run options — the Actor stops charging once your cap is reached.
3. Schedule runs instead of re-scraping everything: collect only what's new.

	This Actor	Most popular alternative
Price per 1,000 tweets	$0.14	$0.40
Monthly rental fee	None	None
Compute costs	Included	Varies
Login / cookies required	No	Varies

Scrape X/Twitter tweets, search results, profiles, threads, media and engagement data. Search by keyword, URL or username and export structured JSON/CSV through Apify API, Python, JavaScript, OpenAPI or MCP.

Pricing: from $0.0001/1,000 tweets - and no charge for empty results. You only pay for successfully delivered results. Failed, empty, duplicate and filtered results are free.

What data can it extract?

Depending on the selected input, results can include:

• tweetId - Unique tweet identifier.
• text - Tweet text content.
• username - Display name of the author.
• handle - Author handle without the @ symbol.
• createdAt - Publication date in ISO 8601 format.
• likes - Number of likes.
• retweets - Number of reposts.
• replies - Number of replies.
• views - Number of views or plays.
• mediaUrls - URLs of attached photos or videos.
• url - Source URL of the item.

Unavailable fields are returned as null instead of fabricated values.

Example output

{
  "tweetId": "1894123456789012345",
  "text": "Example tweet text with a link https://example.com",
  "username": "Example User",
  "handle": "example_user",
  "createdAt": "2026-09-18T12:00:00.000Z",
  "likes": 1234,
  "retweets": 87,
  "replies": 15,
  "views": 45210,
  "mediaUrls": [
    "https://pbs.twimg.com/media/example.jpg"
  ],
  "url": "https://x.com/example_user/status/1894123456789012345"
}

How to use X Tweet Scraper API

1. Click Try for free on the Apify Store page.
2. Add URLs, usernames or search terms.
3. Set Maximum results to control spending, then run.
4. Export as JSON, CSV, Excel, or consume via API.

Usage

Python (Apify Client)

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('DataLeadsPRO/x-twitter-scraper-api').call(run_input={
    'searchTerms': ['openai']
})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('DataLeadsPRO/x-twitter-scraper-api').call({
    'searchTerms': ['openai']
});
const { items } = await client.dataset(run.defaultDatasetId).list();
console.log(items);

REST / OpenAPI

curl -X POST 'https://api.apify.com/v2/acts/DataLeadsPRO~x-twitter-scraper-api/runs?token=YOUR_API_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{ "searchTerms": ["openai"] }'

This Actor ships an OpenAPI 3.1 specification (openapi.yaml) and can be exposed through MCP for AI agent integrations.

X API alternative

This X scraper API works without developer account approval, API keys from X, or official API subscriptions. Teams use it as a practical X data API for dashboards, alerts and AI agents that need live public tweet data on demand.

Why DataLeadsPRO?

• Transparent per-result pricing with no charge for empty results
• Structured, documented output fields - no fabricated data
• Python, JavaScript, REST, CLI, OpenAPI and MCP integration examples
• Fast, maintained and monitored infrastructure

Common use cases

• Market research - track public content, creators and engagement.
• Competitor monitoring - monitor public accounts, posts, videos or search results.
• AI and LLM datasets - feed structured public data into RAG systems, agents and analytics pipelines.
• Lead and creator discovery - build structured public datasets for research and outreach qualification.
• Social listening - monitor public conversations around brands, products or topics.

Frequently asked questions

How much does tweets scraping cost?

From $0.0001 per 1,000 successfully delivered results on the FREE tier, with Bronze, Silver and Gold volume tiers below that.

Do empty searches cost money?

No result event is charged when no successful result is delivered.

Can I use this through an API?

Yes - REST, Python, JavaScript, CLI, OpenAPI or MCP.

Can I export the results?

Yes. Apify datasets support JSON, CSV, Excel, XML and other formats.

Can I schedule this scraper?

Yes. Use Apify schedules to rerun saved inputs automatically.

Related actors

• DataLeadsPRO/x-profile-scraper
• DataLeadsPRO/x-scraper-unlimited
• DataLeadsPRO/x-replies-scraper-api
• DataLeadsPRO/x-list-scraper-api
• DataLeadsPRO/instagram-scraper-api
• DataLeadsPRO/instagram-data-api

Responsible use

This Actor is intended for extracting publicly available information. Users are responsible for complying with applicable laws, platform terms and data-protection requirements. This Actor is an independent tool and is not affiliated with or endorsed by the platform owner.

License

MIT - see LICENSE.