Pricing

Pay per usage

Twitter X Posts Scraper With Contact Links

🐦 Twitter X Posts Scraper extracts X posts/tweets at scale — by user, hashtag, keyword, or date — with text, hashtags, mentions, links, media, timestamps, likes, replies & reposts. 📊 Perfect for social listening, competitor analysis, sentiment & marketing research. ⚡ CSV/JSON export.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Scrapier

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Automation

Lead generation

Social media

You can access the Twitter X Posts Scraper With Contact Links programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "startUrls": [
12        "elonmusk"
13    ],
14    "proxyConfiguration": {
15        "useApifyProxy": false
16    }
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("scrapier/twitter-x-posts-scraper").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27    console.dir(item);
28});
29
30// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Twitter X Posts Scraper With Contact Links API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Twitter X Posts Scraper With Contact Links API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Twitter X Posts Scraper With Contact Links API in Python

Twitter X Posts Scraper With Contact Links API through CLI

Twitter X Posts Scraper With Contact Links OpenAPI definition

Twitter X Posts Scraper With Contact Links API

Twitter X Posts Scraper By Keyword & Hashtag Search

scrapelabsapi/Twitter-X-Posts-Scraper

Twitter X Posts Scraper By Keyword & Hashtag Search collects posts from X with text, timestamps, likes, reposts, replies, hashtags & media links. Fast, reliable, and scalable for social listening, competitor tracking, sentiment and marketing research.

ScrapeLabs

Twitter X Posts Scraper (Media & Link Extraction)

api-empire/Twitter-X-Posts-Scraper

🐦 Twitter-X Posts Scraper extracts tweets/posts at scale — text, hashtags, mentions, timestamps, likes, retweets, replies, threads, media & links. 🔍 Query by keywords, users, dates. 📊 Export CSV/JSON for social listening, sentiment, marketing & research. 🚀 Fast, reliable.

API Empire

Twitter X Posts Scraper

scrapeengine/Twitter-X-Posts-Scraper

🐦 Twitter X Posts Scraper extracts posts/tweets from profiles, hashtags, or keywords—plus timestamps, URLs, media, likes, replies & reposts. ⚡ Fast, reliable. 📊 Export CSV/JSON for marketing, research, brand monitoring, and competitor/trend analysis. 🚀

ScrapeEngine

Twitter X Posts Scraper & Replies

simpleapi/Twitter-X-Posts-Scraper

🐦 Twitter X Posts Scraper extracts tweets from profiles, hashtags & searches — with text, timestamps, authors, links, likes, retweets & replies. ⚡ Perfect for social listening, trend tracking, competitor analysis & content research. 📊 Exports CSV/JSON for analytics.

SimpleAPI

X Twitter Profile Posts Scraper - Low-cost💲🔥📡🐦

delectable_incubator/x-twitter-profile-posts-scraper-low-cost

🐦 Scrape tweets from any X (Twitter) profile. Extract tweet text, IDs, likes, replies, reposts, views, media, hashtags, mentions, links, timestamps & more. Ideal for social media monitoring, sentiment analysis, trend tracking, competitor research, AI datasets and automation.