Is it legal to scrape Bento.me?

Scraping public data from Bento.me is generally legal for personal or research use, provided you do not violate their terms of service. Since the data is publicly accessible and doesn't require a login, it falls under the category of public data extraction.

How can I avoid getting blocked with Error 1005?

Error 1005 is a Cloudflare error indicating that your IP address belongs to a banned ASN (Autonomous System Number), typically a data center. To bypass this, you should use high-quality residential proxies that appear as standard home internet connections.

Does Bento.me have an official API?

No, Bento.me does not currently offer an official public API for third-party access. Web scraping the internal Next.js state object is the most reliable method for data collection.

What happens when Bento shuts down in 2026?

Once the platform shuts down on February 13, 2026, the profiles will likely go offline and become unscrapable. It is critical to perform any necessary data archiving or migration scrapes before this deadline.

What format is the scraped data usually in?

While Bento's internal data is stored as JSON, most scraping tools allow you to export this data into CSV, Excel, or directly into a database. Using JSON is recommended to preserve the complex relationship between tiles and widgets.

How often should I scrape Bento profiles?

Because Bento profiles are essentially static digital business cards, they do not change frequently. Scraping once a week or even once a month is typically sufficient to capture updates to links or bio information.

Do I need to render JavaScript to scrape Bento?

Yes, Bento is built using Next.js and React, meaning the content is hydrated on the client side. While some data is available in the initial HTML source, browser-based tools like Playwright or Automatio ensure all dynamic widgets are fully rendered.

Can I extract images and media from Bento tiles?

Yes, the image URLs for profile pictures and tile backgrounds are present in the page data. You can extract these URLs and use a secondary script to download the media assets for archiving purposes.

How to Scrape Bento.me | Bento.me Web Scraper

Learn how to scrape Bento.me to extract personal portfolio data, social media links, and bio information. Discover valuable data for influencer research and...

Start Scraping Free

bento.meHard

Coverage:GlobalUnited StatesEuropeUnited KingdomCanada

Available Data7 fields

TitleLocationDescriptionImagesSeller InfoContact InfoAttributes

All Extractable Fields

Profile NameUser BioProfile Picture URLVerified Badge StatusSocial Media HandlesExternal Website LinksTile TitlesTile DescriptionsLocationEmailCustom Widget ContentPage Theme Data

Technical Requirements

JavaScript Required

No Login

No Pagination

No Official API

Anti-Bot Protection Detected

CloudflareRate LimitingASN BlockingIP Behavior Monitoring

About Bento.me

Learn what Bento.me offers and what valuable data can be extracted from it.

Bento.me is a contemporary personal branding platform that allows users to create a centralized, grid-style digital portfolio. It functions as a rich 'link-in-bio' solution, providing a visually appealing space for creators, developers, and entrepreneurs to aggregate their professional links, social media profiles, and custom content tiles. Acquired by Linktree in 2023, the platform is known for its sophisticated user interface and diverse widget integration.

The site contains structured information such as biographies, external links to portfolios, social media handles, and visual media assets organized in interactive tiles. Following a recent announcement, Bento.me is scheduled to shut down on February 13, 2026, making data extraction a critical task for users looking to migrate their digital presence to other platforms or for researchers wanting to archive creator economy data.

Scraping Bento.me is highly valuable for market researchers, talent scouts, and marketing agencies. By extracting data from these pages, businesses can identify rising influencers, track professional trends within specific niches, and build comprehensive databases of talent across the global creator economy.

Why Scrape Bento.me?

Discover the business value and use cases for extracting data from Bento.me.

Identify influencers and creators for marketing campaigns

Gather professional contact information for recruitment

Monitor personal branding and portfolio design trends

Archive user data before the platform shuts down in February 2026

Build high-quality lead lists for SaaS products targeting creators

Scraping Challenges

Technical challenges you may encounter when scraping Bento.me.

Aggressive Cloudflare WAF protection causing 1005 Access Denied errors

Next.js dynamic rendering requires full JavaScript execution

CSS-in-JS implementation makes static selectors prone to breakage

Data is nested within a complex JSON state object inside the script tag

Scrape Bento.me with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

Describe What You Need

Tell the AI what data you want to extract from Bento.me. Just type it in plain language — no coding or selectors needed.

AI Extracts the Data

Our artificial intelligence navigates Bento.me, handles dynamic content, and extracts exactly what you asked for.

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

No-code interface handles dynamic React/Next.js layouts effortlessly

Built-in JavaScript rendering ensures all tiles and widgets are fully loaded

Automatic proxy rotation bypasses Cloudflare ASN and IP blocks

Scheduled runs allow for consistent tracking of profile updates

Extracts nested JSON data without complex custom script writing

Start Scraping Free

No credit card requiredFree tier availableNo setup needed

No-Code Web Scrapers for Bento.me

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Bento.me. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

Install browser extension or sign up for the platform

Navigate to the target website and open the tool

Point-and-click to select data elements you want to extract

Configure CSS selectors for each data field

Set up pagination rules to scrape multiple pages

Handle CAPTCHAs (often requires manual solving)

Configure scheduling for automated runs

Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup
import json

def scrape_bento_profile(url):
    # Headers are essential to mimic a real browser
    headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}
    try:
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            soup = BeautifulSoup(response.text, 'html.parser')
            # Bento stores data in a script tag with id __NEXT_DATA__
            data_script = soup.find('script', id='__NEXT_DATA__')
            if data_script:
                json_data = json.loads(data_script.string)
                user_data = json_data['props']['pageProps']['initialState']['user']
                print(f'Name: {user_data.get("name")}')
                print(f'Bio: {user_data.get("about")}')
                return user_data
    except Exception as e:
        print(f'Error occurred: {e}')
    return None

# Example usage
scrape_bento_profile('https://bento.me/alex')

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

●Fastest execution (no browser overhead)
●Lowest resource consumption
●Easy to parallelize with asyncio
●Great for APIs and static pages

Limitations

●Cannot execute JavaScript
●Fails on SPAs and dynamic content
●May struggle with complex anti-bot systems

from playwright.sync_api import sync_playwright

def run(playwright):
    # Launch headless browser
    browser = playwright.chromium.launch(headless=True)
    page = browser.new_page()
    # Navigate to the Bento profile
    page.goto('https://bento.me/alex')
    # Wait for the main profile heading to load
    page.wait_for_selector('h1')
    
    # Extract content from the rendered page
    name = page.inner_text('h1')
    links = [a.get_attribute('href') for a in page.query_selector_all('a')]
    
    print(f'Profile Name: {name}')
    print(f'Links found: {len(links)}')
    
    browser.close()

with sync_playwright() as playwright:
    run(playwright)

When to Use

Use when content loads dynamically via JavaScript, or when you need to interact with the page (clicks, scrolls, form fills). Handles modern anti-bot detection better.

Advantages

●Executes JavaScript like a real browser
●Handles SPAs and dynamic content
●Better anti-bot evasion with stealth plugins
●Can take screenshots and PDFs

Limitations

●Slower than HTTP requests
●Higher memory/CPU usage
●More complex to set up

import scrapy
import json

class BentoSpider(scrapy.Spider):
    name = 'bento'
    start_urls = ['https://bento.me/alex']

    def parse(self, response):
        # Locate the Next.js data script containing the profile JSON state
        raw_data = response.xpath('//script[@id="__NEXT_DATA__"]/text()').get()
        if raw_data:
            data = json.loads(raw_data)
            profile = data['props']['pageProps']['initialState']['user']
            yield {
                'name': profile.get('name'),
                'about': profile.get('about'),
                'links': [tile.get('url') for tile in profile.get('tiles', []) if tile.get('url')],
                'socials': profile.get('socials'),
                'verified': profile.get('isVerified')
            }

When to Use

Ideal for large-scale crawling projects that need to scrape thousands of pages. Built-in support for rate limiting, retries, and data pipelines.

Advantages

●Built for scale (millions of pages)
●Automatic request throttling
●Built-in data export pipelines
●Middleware system for proxies/headers

Limitations

●Steeper learning curve
●Overkill for small projects
●No native JavaScript rendering

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  // Using networkidle2 to ensure all widgets are loaded
  await page.goto('https://bento.me/alex', { waitUntil: 'networkidle2' });

  const profileData = await page.evaluate(() => {
    // Access the internal state directly from the DOM
    const dataElement = document.getElementById('__NEXT_DATA__');
    if (dataElement) {
      const nextData = JSON.parse(dataElement.innerText);
      return nextData.props.pageProps.initialState.user;
    }
    return null;
  });

  console.log(profileData);
  await browser.close();
})();

When to Use

Choose this if you're in a Node.js/JavaScript ecosystem or need tight integration with frontend tools. Similar capabilities to Playwright.

Advantages

●Native JavaScript/TypeScript support
●Chrome DevTools Protocol access
●Large ecosystem and community
●Good for JS-heavy projects

Limitations

●Chrome-only (vs Playwright's multi-browser)
●Similar overhead to Playwright
●Less mature stealth options

How to Scrape Bento.me with Code

Python + Requests

import requests
from bs4 import BeautifulSoup
import json

def scrape_bento_profile(url):
    # Headers are essential to mimic a real browser
    headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}
    try:
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            soup = BeautifulSoup(response.text, 'html.parser')
            # Bento stores data in a script tag with id __NEXT_DATA__
            data_script = soup.find('script', id='__NEXT_DATA__')
            if data_script:
                json_data = json.loads(data_script.string)
                user_data = json_data['props']['pageProps']['initialState']['user']
                print(f'Name: {user_data.get("name")}')
                print(f'Bio: {user_data.get("about")}')
                return user_data
    except Exception as e:
        print(f'Error occurred: {e}')
    return None

# Example usage
scrape_bento_profile('https://bento.me/alex')

Python + Playwright

from playwright.sync_api import sync_playwright

def run(playwright):
    # Launch headless browser
    browser = playwright.chromium.launch(headless=True)
    page = browser.new_page()
    # Navigate to the Bento profile
    page.goto('https://bento.me/alex')
    # Wait for the main profile heading to load
    page.wait_for_selector('h1')
    
    # Extract content from the rendered page
    name = page.inner_text('h1')
    links = [a.get_attribute('href') for a in page.query_selector_all('a')]
    
    print(f'Profile Name: {name}')
    print(f'Links found: {len(links)}')
    
    browser.close()

with sync_playwright() as playwright:
    run(playwright)

Python + Scrapy

import scrapy
import json

class BentoSpider(scrapy.Spider):
    name = 'bento'
    start_urls = ['https://bento.me/alex']

    def parse(self, response):
        # Locate the Next.js data script containing the profile JSON state
        raw_data = response.xpath('//script[@id="__NEXT_DATA__"]/text()').get()
        if raw_data:
            data = json.loads(raw_data)
            profile = data['props']['pageProps']['initialState']['user']
            yield {
                'name': profile.get('name'),
                'about': profile.get('about'),
                'links': [tile.get('url') for tile in profile.get('tiles', []) if tile.get('url')],
                'socials': profile.get('socials'),
                'verified': profile.get('isVerified')
            }

Node.js + Puppeteer

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  // Using networkidle2 to ensure all widgets are loaded
  await page.goto('https://bento.me/alex', { waitUntil: 'networkidle2' });

  const profileData = await page.evaluate(() => {
    // Access the internal state directly from the DOM
    const dataElement = document.getElementById('__NEXT_DATA__');
    if (dataElement) {
      const nextData = JSON.parse(dataElement.innerText);
      return nextData.props.pageProps.initialState.user;
    }
    return null;
  });

  console.log(profileData);
  await browser.close();
})();

What You Can Do With Bento.me Data

Explore practical applications and insights from Bento.me data.

Influencer Outreach Discovery

Marketing agencies can find niche creators by scraping Bento profiles associated with specific professional keywords.

How to implement:

1Crawl search results or directory lists for Bento profile URLs.
2Extract social media links and bio text to determine niche and reach.
3Filter profiles by industry keywords like 'Web3', 'UX Design', or 'Fitness'.
4Automate outreach using the extracted verified social handles.

Use Automatio to extract data from Bento.me and build these applications without writing code.

More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents

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Pro Tips for Scraping Bento.me

Expert advice for successfully extracting data from Bento.me.

Always look for the <script id='__NEXT_DATA__'> tag; it contains almost all profile information in a single JSON block.

Use residential proxies to bypass Cloudflare's ASN-based blocking of data center IPs.

Implement rate limiting of at least 3-5 seconds between requests to avoid triggering security challenges.

Bento uses CSS-in-JS, so rely on data attributes or the internal JSON state rather than volatile class names.

Since the site is shutting down in early 2026, ensure your scraper includes logic to download and archive images locally.

Rotate User-Agents frequently to avoid fingerprinting by Cloudflare security layers.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Mohammed Ibrahim

CEO, qannas.pro

Ben Bressington

CTO, AiChatSolutions

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About Bento.me

Find answers to common questions about Bento.me

How to Scrape Bento.me | Bento.me Web Scraper

About Bento.me

Why Scrape Bento.me?

Scraping Challenges

Scrape Bento.me with AI

How It Works

Why Use AI for Scraping

No-Code Web Scrapers for Bento.me

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

What You Can Do With Bento.me Data

Influencer Outreach Discovery

Talent Sourcing & Recruitment

Platform Migration Services

Competitive Design Analysis

Supercharge your workflow with AI Automation

Pro Tips for Scraping Bento.me

What Our Users Say

Related Web Scraping

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How to Scrape Bluesky (bsky.app): API and Web Methods

Frequently Asked Questions About Bento.me

Is it legal to scrape Bento.me?

How can I avoid getting blocked with Error 1005?

Does Bento.me have an official API?

What happens when Bento shuts down in 2026?

What format is the scraped data usually in?

How often should I scrape Bento profiles?

Do I need to render JavaScript to scrape Bento?

Can I extract images and media from Bento tiles?

How to Scrape Bento.me | Bento.me Web Scraper

About Bento.me

Why Scrape Bento.me?

Scraping Challenges

Scrape Bento.me with AI

How It Works

Why Use AI for Scraping

How to scrape with AI:

Why use AI for scraping:

No-Code Web Scrapers for Bento.me

Typical Workflow with No-Code Tools

Common Challenges

No-Code Web Scrapers for Bento.me

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

How to Scrape Bento.me with Code

Python + Requests

Python + Playwright

Python + Scrapy

Node.js + Puppeteer

What You Can Do With Bento.me Data

Influencer Outreach Discovery

Talent Sourcing & Recruitment

Platform Migration Services

Competitive Design Analysis

What You Can Do With Bento.me Data

Supercharge your workflow with AI Automation

Pro Tips for Scraping Bento.me

What Our Users Say

Related Web Scraping

How to Scrape Behance: A Step-by-Step Guide for Creative Data Extraction

How to Scrape Social Blade: The Ultimate Analytics Guide

How to Scrape YouTube: Extract Video Data and Comments in 2025

How to Scrape Vimeo: A Guide to Extracting Video Metadata

How to Scrape Imgur: A Comprehensive Guide to Image Data Extraction

How to Scrape Patreon Creator Data and Posts

How to Scrape Goodreads: The Ultimate Web Scraping Guide 2025

How to Scrape Bluesky (bsky.app): API and Web Methods

Frequently Asked Questions About Bento.me

Is it legal to scrape Bento.me?

How can I avoid getting blocked with Error 1005?

Does Bento.me have an official API?

What happens when Bento shuts down in 2026?

What format is the scraped data usually in?

How often should I scrape Bento profiles?

Do I need to render JavaScript to scrape Bento?

Can I extract images and media from Bento tiles?