Is it legal to scrape Arc.dev?

Scraping public job listings from Arc.dev is generally legal under current data scraping precedents (like the HiQ vs. LinkedIn case) provided the data is not behind a login wall. However, you must avoid scraping private user profiles and ensure your use case complies with local data privacy laws like GDPR.

Does Arc.dev have a public API?

No, Arc.dev does not offer a public API for general job scraping purposes. They provide specialized APIs for enterprise partners and ATS integrations, which means web scraping is the standard way to access their job board data at scale.

How do I bypass the Cloudflare/DataDome block on Arc?

Bypassing these protections requires advanced browser automation tools like Playwright or Automatio that can simulate real user behavior. Using residential proxies and rotating your browser fingerprint are essential steps to avoid detection.

What is the best format for saving Arc job data?

JSON is the most efficient format because Arc is built on Next.js, and much of the data is natively available in JSON format within the HTML source. This makes it easy to preserve nested structures like tech tags and salary ranges.

Can I scrape Arc developer profiles?

Scraping full developer profiles usually requires a login, which complicates the scraping process and carries higher legal risk. It is recommended to stick to the publicly accessible job boards and company listings unless you have explicit permission.

How frequently should I scrape Arc to stay updated?

New jobs are posted daily, so a daily crawl is usually sufficient for most job aggregators. For high-frequency competitive intelligence, you might scrape every few hours, but ensure you use a headless browser to avoid triggering rate limits.

Does Arc.dev use infinite scroll or numbered pagination?

Arc.dev typically uses a 'Load More' button or standard numbered pagination depending on the specific search view. Scrapers should be configured to detect and click pagination elements to capture the full result set.

How to Scrape Arc.dev: The Complete Guide to Remote Job Data

Learn how to scrape remote developer jobs, salary data, and tech stacks from Arc.dev. Extract high-quality tech listings for market research and lead...

Start Scraping Free

arc.devHard

Coverage:GlobalUnited StatesEuropeCanadaLatin AmericaAPAC

Available Data9 fields

TitlePriceLocationDescriptionImagesSeller InfoPosting DateCategoriesAttributes

All Extractable Fields

Job TitleCompany NameSalary Range (USD)Required Tech StackSecondary SkillsRemote Policy TypeTimezone Overlap RequirementFull Job DescriptionPosting DateSeniority LevelCompany Logo URLApplication LinkEmployment Type (Full-time/Contract)Company IndustryEmployee Benefits

Technical Requirements

JavaScript Required

No Login

Has Pagination

No Official API

Anti-Bot Protection Detected

CloudflareDataDomeRate LimitingBrowser FingerprintingBehavioral Analysis

About Arc

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

The Premier Remote Talent Marketplace

Arc (formerly CodementorX) is a leading global marketplace for vetted remote software engineers and tech professionals. Unlike generic job boards, Arc operates a highly curated platform that connects top-tier developers with companies ranging from fast-growing startups to established tech giants. The platform is particularly known for its rigorous vetting process and its focus on long-term remote roles rather than short-term gigs.

Rich Tech-Centric Data

The website is a massive repository of structured data, including detailed job descriptions, salary benchmarks across different regions, and specific technical requirements. Each listing typically contains a rich set of attributes such as required tech stacks, timezone overlap needs, and remote work policies (e.g., 'Work from Anywhere' vs. 'Specific Country').

Strategic Value of Arc Data

For recruiters and market analysts, scraping Arc.dev provides high-signal data on compensation trends and emerging technology adoption. Because the listings are vetted and updated frequently, the data is far more accurate than what is found on uncurated aggregators, making it a goldmine for competitive intelligence and specialized recruitment pipelines.

Why Scrape Arc?

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

Analyze global remote salary benchmarks for technical roles

Identify hiring trends and high-growth companies in the tech sector

Monitor the demand for specific programming languages and frameworks

Build a high-quality lead list for technical recruitment agencies

Aggregate premium remote job listings for niche career portals

Track remote work policy shifts across international tech firms

Scraping Challenges

Technical challenges you may encounter when scraping Arc.

Aggressive Cloudflare and DataDome protection systems

Next.js SPA architecture requires heavy JavaScript rendering

Dynamic CSS class names that change during site builds

Intricate rate limiting based on behavioral fingerprinting

Complex nested data structures within the React hydration state

Scrape Arc 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 Arc. Just type it in plain language — no coding or selectors needed.

AI Extracts the Data

Our artificial intelligence navigates Arc, 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

Automatically bypasses Cloudflare and browser fingerprinting hurdles

Handles JavaScript rendering and complex React states with no coding

Uses intelligent selectors to manage dynamic CSS class updates

Enables effortless scheduling for real-time job monitoring

Exports high-quality structured data directly to Google Sheets or JSON

Start Scraping Free

No credit card requiredFree tier availableNo setup needed

No-Code Web Scrapers for Arc

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Arc. 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

# Note: Basic requests are often blocked by Arc's Cloudflare setup.
# Using a proper User-Agent and potentially a proxy is mandatory.
url = 'https://arc.dev/remote-jobs'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36'
}

try:
    response = requests.get(url, headers=headers)
    # Check for 403 Forbidden which indicates a Cloudflare block
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        # Extract data from the Next.js JSON script for better reliability
        data_script = soup.find('script', id='__NEXT_DATA__')
        print('Successfully retrieved page source.')
    else:
        print(f'Blocked by Anti-Bot. Status code: {response.status_code}')
except Exception as e:
    print(f'Error: {e}')

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 scrape_arc():
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        # Use a real user profile or stealth settings
        context = browser.new_context(user_agent='Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36')
        page = context.new_page()
        
        # Navigate and wait for content to hydrate
        page.goto('https://arc.dev/remote-jobs', wait_until='networkidle')
        
        # Wait for the job card elements
        page.wait_for_selector('div[class*="JobCard_container"]')
        
        jobs = page.query_selector_all('div[class*="JobCard_container"]')
        for job in jobs:
            title = job.query_selector('h2').inner_text()
            company = job.query_selector('div[class*="JobCard_company"]').inner_text()
            print(f'Scraped: {title} @ {company}')
        
        browser.close()

scrape_arc()

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

class ArcSpider(scrapy.Spider):
    name = 'arc_jobs'
    start_urls = ['https://arc.dev/remote-jobs']

    def parse(self, response):
        # Scrapy needs a JS middleware (like scrapy-playwright) for Arc.dev
        for job in response.css('div[class*="JobCard_container"]'):
            yield {
                'title': job.css('h2::text').get(),
                'company': job.css('div[class*="JobCard_company"]::text').get(),
                'salary': job.css('div[class*="JobCard_salary"]::text').get(),
                'tags': job.css('div[class*="JobCard_tags"] span::text').getall()
            }

        next_page = response.css('a[class*="Pagination_next"]::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)

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({ headless: true });
  const page = await browser.newPage();
  
  await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36');
  await page.goto('https://arc.dev/remote-jobs', { waitUntil: 'networkidle2' });

  const jobData = await page.evaluate(() => {
    const cards = Array.from(document.querySelectorAll('div[class*="JobCard_container"]'));
    return cards.map(card => ({
      title: card.querySelector('h2')?.innerText,
      company: card.querySelector('div[class*="JobCard_company"]')?.innerText,
      location: card.querySelector('div[class*="JobCard_location"]')?.innerText
    }));
  });

  console.log(jobData);
  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 Arc with Code

Python + Requests

import requests
from bs4 import BeautifulSoup

# Note: Basic requests are often blocked by Arc's Cloudflare setup.
# Using a proper User-Agent and potentially a proxy is mandatory.
url = 'https://arc.dev/remote-jobs'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36'
}

try:
    response = requests.get(url, headers=headers)
    # Check for 403 Forbidden which indicates a Cloudflare block
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        # Extract data from the Next.js JSON script for better reliability
        data_script = soup.find('script', id='__NEXT_DATA__')
        print('Successfully retrieved page source.')
    else:
        print(f'Blocked by Anti-Bot. Status code: {response.status_code}')
except Exception as e:
    print(f'Error: {e}')

Python + Playwright

from playwright.sync_api import sync_playwright

def scrape_arc():
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        # Use a real user profile or stealth settings
        context = browser.new_context(user_agent='Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36')
        page = context.new_page()
        
        # Navigate and wait for content to hydrate
        page.goto('https://arc.dev/remote-jobs', wait_until='networkidle')
        
        # Wait for the job card elements
        page.wait_for_selector('div[class*="JobCard_container"]')
        
        jobs = page.query_selector_all('div[class*="JobCard_container"]')
        for job in jobs:
            title = job.query_selector('h2').inner_text()
            company = job.query_selector('div[class*="JobCard_company"]').inner_text()
            print(f'Scraped: {title} @ {company}')
        
        browser.close()

scrape_arc()

Python + Scrapy

import scrapy

class ArcSpider(scrapy.Spider):
    name = 'arc_jobs'
    start_urls = ['https://arc.dev/remote-jobs']

    def parse(self, response):
        # Scrapy needs a JS middleware (like scrapy-playwright) for Arc.dev
        for job in response.css('div[class*="JobCard_container"]'):
            yield {
                'title': job.css('h2::text').get(),
                'company': job.css('div[class*="JobCard_company"]::text').get(),
                'salary': job.css('div[class*="JobCard_salary"]::text').get(),
                'tags': job.css('div[class*="JobCard_tags"] span::text').getall()
            }

        next_page = response.css('a[class*="Pagination_next"]::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)

Node.js + Puppeteer

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36');
  await page.goto('https://arc.dev/remote-jobs', { waitUntil: 'networkidle2' });

  const jobData = await page.evaluate(() => {
    const cards = Array.from(document.querySelectorAll('div[class*="JobCard_container"]'));
    return cards.map(card => ({
      title: card.querySelector('h2')?.innerText,
      company: card.querySelector('div[class*="JobCard_company"]')?.innerText,
      location: card.querySelector('div[class*="JobCard_location"]')?.innerText
    }));
  });

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

What You Can Do With Arc Data

Explore practical applications and insights from Arc data.

Remote Salary Index

Human Resources departments use this to build competitive compensation packages for remote-first technical roles.

How to implement:

1Scrape all listings that include salary ranges for senior developers.
2Normalize currency to USD and calculate median pay per tech stack.
3Update the index monthly to track inflation and market demand shifts.

Use Automatio to extract data from Arc 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

Web Automation

Smart Workflows

Get Started Free

Pro Tips for Scraping Arc

Expert advice for successfully extracting data from Arc.

Target the `__NEXT_DATA__` script tag to get the full JSON state of the page instead of parsing messy HTML selectors.

Always use high-quality residential proxies; datacenter IPs are almost always flagged instantly by DataDome.

Limit your scraping frequency to mimic human browsing behavior—Arc is very sensitive to rapid, repetitive requests.

Focus on specific categories (e.g., /remote-jobs/react) to keep the data volume manageable and bypass general search limits.

If you encounter a persistent block, try rotating your User-Agent to a recent mobile browser string.

Scrape during off-peak hours (relative to UTC) to avoid triggering aggressive traffic-spike protection.

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 Arc

Find answers to common questions about Arc

How to Scrape Arc.dev: The Complete Guide to Remote Job Data

About Arc

The Premier Remote Talent Marketplace

Rich Tech-Centric Data

Strategic Value of Arc Data

Why Scrape Arc?

Scraping Challenges

Scrape Arc with AI

How It Works

Why Use AI for Scraping

No-Code Web Scrapers for Arc

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

What You Can Do With Arc Data

Remote Salary Index

Recruitment Pipeline Generator

Niche Tech Aggregator Board

Tech Stack Adoption Analysis

Timezone Compatibility Tool

Supercharge your workflow with AI Automation

Pro Tips for Scraping Arc

What Our Users Say

Related Web Scraping

How to Scrape Guru.com: A Comprehensive Web Scraping Guide

How to Scrape Upwork: A Comprehensive Technical Guide

How to Scrape Toptal | Toptal Web Scraper Guide

How to Scrape Freelancer.com: A Complete Technical Guide

How to Scrape Fiverr | Fiverr Web Scraper Guide

How to Scrape Indeed: 2025 Guide for Job Market Data

How to Scrape Hiring.Cafe: A Complete AI Job Board Scraper Guide

How to Scrape Charter Global | IT Services & Job Board Scraper

Frequently Asked Questions About Arc

Is it legal to scrape Arc.dev?

Does Arc.dev have a public API?

How do I bypass the Cloudflare/DataDome block on Arc?

What is the best format for saving Arc job data?

Can I scrape Arc developer profiles?

How frequently should I scrape Arc to stay updated?

Does Arc.dev use infinite scroll or numbered pagination?

How to Scrape Arc.dev: The Complete Guide to Remote Job Data

About Arc

The Premier Remote Talent Marketplace

Rich Tech-Centric Data

Strategic Value of Arc Data

Why Scrape Arc?

Scraping Challenges

Scrape Arc 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 Arc

Typical Workflow with No-Code Tools

Common Challenges

No-Code Web Scrapers for Arc

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

How to Scrape Arc with Code

Python + Requests

Python + Playwright

Python + Scrapy

Node.js + Puppeteer

What You Can Do With Arc Data

Remote Salary Index

Recruitment Pipeline Generator

Niche Tech Aggregator Board

Tech Stack Adoption Analysis

Timezone Compatibility Tool

What You Can Do With Arc Data

Supercharge your workflow with AI Automation

Pro Tips for Scraping Arc

What Our Users Say

Related Web Scraping

How to Scrape Guru.com: A Comprehensive Web Scraping Guide

How to Scrape Upwork: A Comprehensive Technical Guide

How to Scrape Toptal | Toptal Web Scraper Guide

How to Scrape Freelancer.com: A Complete Technical Guide

How to Scrape Fiverr | Fiverr Web Scraper Guide

How to Scrape Indeed: 2025 Guide for Job Market Data

How to Scrape Hiring.Cafe: A Complete AI Job Board Scraper Guide

How to Scrape Charter Global | IT Services & Job Board Scraper

Frequently Asked Questions About Arc

Is it legal to scrape Arc.dev?

Does Arc.dev have a public API?

How do I bypass the Cloudflare/DataDome block on Arc?

What is the best format for saving Arc job data?

Can I scrape Arc developer profiles?

How frequently should I scrape Arc to stay updated?

Does Arc.dev use infinite scroll or numbered pagination?