Founder, Clura
10+
Years Experience
51
Articles Written
5+
Products Built
Rohith is the founder of Clura. Built Clura to make web data extraction simple and accessible — no coding required.
Outside of work, Rohith is an avid chess player and a dedicated gym-goer.
An AI web scraper Chrome extension extracts structured data from any website automatically — no coding required. This guide covers how to scrape any website, export to Excel, handle dynamic pages, and which tools rank best in 2026.
Learn how to scrape Google Maps business data — names, phone numbers, addresses, ratings, and reviews — without writing a single line of code. Step-by-step guide using a Chrome extension.
A lead scraper extracts business names, emails, phone numbers, and contact details from websites automatically — no copy-pasting, no code. Learn the fastest way to build a prospect list from any directory, LinkedIn search, or business listing.
Exporting leads from LinkedIn Sales Navigator shouldn't cost you $29/month on top of your Sales Nav subscription. This guide shows how to use a free Chrome extension to scrape Sales Navigator and export lead lists to Excel or CSV — no Evaboot, no PhantomBuster.
Instant Data Scraper is a popular free Chrome extension for scraping HTML tables and lists. But it struggles with dynamic content, requires manual column selection, and produces messy output. This guide covers how it works, where it falls short, and when Clura is the better choice.
An Amazon scraper extracts product names, prices, ASINs, ratings, and review counts from Amazon search pages and product listings — no Python, no API key. This guide covers how to scrape Amazon product data with a Chrome extension in under 10 minutes.
eBay loads all listing data via JavaScript — which is why most Python scrapers come back empty. This guide covers how to export eBay product listings, prices, and seller data to CSV without code, plus why Python requests fails and what actually works.
An Indeed scraper extracts job titles, companies, salaries, locations, and URLs from Indeed search results automatically — no Python, no API key, no proxies. This guide covers how to scrape Indeed job postings with a Chrome extension in under 5 minutes, why most scrapers fail on Indeed, and how it compares to Apify and Bright Data.
Indeed shut down its public job search API in 2021. There is no official API for extracting job listings in 2026. This guide explains what the old API did, why it was removed, and the three approaches developers actually use to get Indeed job data today.
Every Python tutorial for scraping Indeed returns empty results in 2026. Indeed loads job cards via JavaScript — requests and BeautifulSoup never see them. This guide explains exactly why Python fails, what Playwright with residential proxies gets you, and the faster no-code alternative.
Search 'indeed scraper github' and you'll find dozens of repos — most with open issues saying 'broken', 'returns empty', or 'CAPTCHA every time'. This guide explains why every open source Indeed scraper eventually breaks and what actually works in 2026.
Glassdoor scraper guide for 2026. Python fails on Glassdoor immediately — login wall plus JavaScript rendering block every server-side request before a single review loads. This guide covers what data you can actually extract, why Selenium and GitHub repos break, and the browser-based approach that works.
Every Python Glassdoor scraper hits two walls: a login requirement that blocks anonymous requests before any data loads, and JavaScript rendering that hides content from requests and BeautifulSoup. This guide explains exactly what breaks, what the block rates are, and the minimum working setup for 2026.
Search 'glassdoor scraper github' and you'll find repos with open issues saying 'login wall', 'session expired', or 'CSRF mismatch'. Glassdoor GitHub scrapers break faster than Indeed ones — the login requirement adds a second maintenance surface that most repos never fully solve.
Scraping LinkedIn job listings with Python fails in three distinct ways: requests hits a login wall, the unofficial linkedin-api gets your account banned, and headless Playwright is blocked at ~45%. This guide covers what actually works in 2026, real block rates from 80,000+ attempts, and the rate limits that separate a working setup from a banned account.
Search 'linkedin scraper github' and you'll find two types of repos: ones that are broken, and ones that work briefly before permanently banning the account they run on. LinkedIn GitHub scrapers have a higher failure rate than any other job board — the login wall, bot detection, and account restriction system work together.
Most LinkedIn scraping tool comparisons list features. This one lists block rates, account ban risk, and real costs — benchmarked across 80,000+ LinkedIn extractions in 2026. Six tools compared: Clura, Phantombuster, Bright Data, Apify, Evaboot, and DIY Playwright.
LinkedIn has multiple APIs — but none of them let you extract profile data, search results, or job listings at scale. This guide explains exactly which LinkedIn APIs exist, what each one does, what it costs, and what developers actually use when the official API won't cover their use case.
Glassdoor has no public API for accessing reviews, salaries, or job listings in 2026. There was a Partner API — it was shut down. This guide covers what happened, what the remaining Glassdoor APIs do, and the three methods developers actually use to get Glassdoor data today.
Not all job boards are equally hard to scrape. Indeed is public and moderately protected. Glassdoor requires login for its best data. LinkedIn has the most aggressive bot detection and bans accounts. This guide compares all three by block rate, data availability, login requirement, and the right tool for each.
Google for Jobs has no public API in 2026. Google Cloud Talent Solution is not what you think — it powers your own job search, not access to Google's. This guide covers what exists, what the paid third-party options cost, and how to pull Google Jobs data free with a Chrome extension.
Google for Jobs aggregates listings from LinkedIn, Indeed, Glassdoor, and ZipRecruiter into one panel — but Python returns empty results and there's no API. This guide covers how to scrape Google Jobs to a spreadsheet in under 3 minutes with a Chrome extension, why Python requests fail on Google's JavaScript-rendered panel, and how the no-code approach compares to Playwright and SerpApi.
Python price scrapers hit e-commerce bot detection in under 50 requests. Enterprise price monitoring software costs $500+/month and returns stale data. This guide covers how price scraping actually works in 2026 — tools ranked by success rate, a free no-code workflow, and what fields you can extract from Amazon, Walmart, and Google Shopping.
Competitor price monitoring software costs $99–$1,500/month and has 38–55% block rates — meaning 1 in 3 price checks silently fails. This guide compares every major tool by actual success rate, data freshness, and cost, and shows how to get real-time competitor prices free.
LinkedIn hides most contact info behind connections — but publicly visible data (name, title, company, location, profile URL) is still scrapable at scale. Learn 4 methods to extract LinkedIn contact data without being connected, ranked by effort, cost, and success rate.
The best LinkedIn email finder Chrome extensions in 2026, ranked by accuracy, cost, and free tier. Apollo, Hunter.io, Snov.io, Wiza, and Clura — compared with real match rates and pricing so you can pick the right one for your workflow.
Scraping a website to Excel means automatically extracting structured data from any webpage and exporting it as a spreadsheet — no copy-pasting required. Learn how to collect hundreds of records in minutes.
Exporting website data to CSV turns any webpage into a clean, structured spreadsheet you can open in Excel, Google Sheets, or any BI tool — no coding required.
Website tables contain structured data — product listings, pricing comparisons, directories, and more. Learn how to extract entire tables automatically and export them to CSV or Excel in minutes.
Dynamic websites load content with JavaScript, making them invisible to traditional scrapers. Learn how AI-powered browser-based tools extract data from any JavaScript-rendered page — no code required.
Learn how to extract website data without coding using modern no-code web scraping tools. Collect product listings, directories, and research datasets in minutes and export them to Excel or CSV.
Learn how to convert website data into spreadsheets automatically. Extract structured data from webpages and export it to Excel, CSV, or Google Sheets without coding.
Learn how to extract data from websites automatically. Discover methods for collecting structured data from webpages and exporting it to Excel, CSV, or spreadsheets.
Learn how to scrape paginated websites automatically. Extract data across multiple pages such as product listings, directories, and search results without coding.
Web scraping has become a mainstream skill for sales, marketing, and research. Compare the 11 best Chrome scraper extensions of 2026 — from AI-powered tools like Clura to free point-and-click options — and find the right one for your workflow.
Learn what web scraping is, how it works, and its most common use cases. Discover how an AI web scraper extracts structured data automatically and review the legal considerations of data extraction.
A web scraping workflow is a repeatable, end-to-end pipeline that gathers data from websites, cleans it, and delivers it where you need it. Learn how to design, build, and automate workflows for lead generation, price monitoring, job tracking, and competitive research — no code required.
Infinite scroll pages hide data behind JavaScript rendering. Learn how to scrape them automatically using Clura's AI Chrome extension.
No-code web scraping lets anyone collect structured data from any website — no programming knowledge required.
A curated library of step-by-step web scraping tutorials covering lead generation, e-commerce, reviews, jobs, and more — all written for non-technical users using Clura's AI Chrome extension.
Web scraping is no longer a developer skill. See 15 real use cases — lead generation, price monitoring, research, AI training, and more — with practical workflows you can run today without writing code.
Web scraping for lead generation means automatically extracting contact details — names, emails, phones, URLs — from public websites and turning them into a prospect list. No data vendor. No copy-pasting. This guide covers every source, tool, and workflow.
A Yelp scraper extracts business names, phone numbers, addresses, websites, ratings, and reviews from Yelp listings automatically. No code required. This guide covers the fastest method, why Python fails on Yelp, and how to turn Yelp data into a lead list in under 10 minutes.
TikTok fingerprints devices. Facebook locked its Graph API in 2018. X now charges $100/month just for basic API access. Reddit rate-limits bots into submission. This guide breaks down what's actually scrapable on each platform in 2026 — and what block rates to expect from each method.
TikTok blocked 91% of Python requests in our tests — not because of rate limits, but because its device fingerprinting identifies Python's TLS handshake before the first response. Here's what actually works: block rates, TTWID cookie mechanics, and a full extraction workflow.
Facebook locked its Graph API in 2018 after Cambridge Analytica. Most third-party data endpoints are gone. This guide covers what's still scrapable in 2026 — Pages, Groups, Marketplace — block rates by method, and why Python fails 78% of the time.
Facebook Marketplace has no API and blocks Python scrapers at ~74%. Here's how to extract listings — price, condition, seller, location, description — to CSV for comp pricing, inventory sourcing, and deal monitoring.
The Twitter/X API went from free to $100/month overnight in 2023. Here's what's still scrapable without it — and which methods actually work in 2026 without hitting the paywall.
Learn how to identify target customers with precision using AI-powered data scraping, ICP building, and smart segmentation — a complete playbook for 2026.
What is web scraping? Learn the simple definition, how it works step by step, real-world use cases, and how to run your first scrape in 5 minutes — no coding required.
Learn how to scrape data from any website without writing a single line of code. A step-by-step practical guide using AI-powered browser tools.