import requests access_token = "YOUR_USER_ACCESS_TOKEN" post_id = "123456789_987654321" url = f"https://graph.facebook.com/v18.0/{post_id}/likes"
// This is a simplified conceptual example – not a working bot. const puppeteer = require('puppeteer'); (async () => { const browser = await puppeteer.launch({ headless: false }); const page = await browser.newPage(); await page.goto('https://facebook.com'); facebook auto like bot
// Scroll and like posts for (let i = 0; i < 10; i++) { await page.evaluate(() => { const likeButtons = document.querySelectorAll('div[aria-label="Like"]'); likeButtons.forEach(btn => btn.click()); }); await page.waitForTimeout(randomDelay(5000, 30000)); await page.scrollBy(0, window.innerHeight); } await browser.close(); })(); A single post’s popularity can influence brand perception,
It is written for informational and educational purposes, explaining how such bots work, why people want them, and the consequences of using them — without promoting or providing actual bot code for malicious use. Introduction In the ever‑evolving landscape of social media, engagement metrics such as likes, shares, and comments have become a form of social currency. A single post’s popularity can influence brand perception, reach, and even algorithmic visibility. As a result, a shadow industry has emerged around artificially inflating these metrics. Among the most sought‑after tools is the Facebook Auto Like Bot — an automated script or program designed to like posts, pages, or comments on Facebook without human intervention. (async () =>