Decodo’s cover photo

About us

Decodo is a customer-obsessed web data-gathering platform, enabling everyone – Fortune 500 companies and solopreneurs – to unlock public web data worldwide. With a focus on exceptional proxy performance, innovative data-gathering solutions, and dedicated experts per every client, we strive to deliver a superior data collection experience. Trusted by 85K+ users around the globe, recognized as the Best Value by Proxyway and the Best Proxy of 2025 by TechRadar. Drop us a line and learn how we help users easily test, launch, and scale web data projects.

Industry
IT Services and IT Consulting
Company size
51-200 employees
Headquarters
Vilnius
Type
Public Company

Locations

Employees at Decodo

Updates

  • 🚀 IP management just got a whole lot smarter! We’re excited to introduce IP Replacement on Decodo – a game-changer for anyone managing proxies. Now, you can: ✅ Instantly swap IPs for ISP/IP, DC/IP, DISP, and DDC proxies without downtime or support tickets ✅ See ASN details for every IP ✅ Get a clear subnet overview with IP counts. All of this is available directly from your dashboard, giving you full control and flexibility over your IP pools. This launch not only levels the playing field with leading providers but also opens new ways for users to optimize their proxy usage – quickly and easily. Take control of your proxies today!

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  • Scraping Indeed is harder than it looks. 🤐 CAPTCHAs. Rate limits. Fingerprinting. Indeed's defenses stop most scrapers before they collect a single job listing. But there's a smarter way. Instead of fighting brittle HTML selectors, target the embedded JSON Indeed injects into every page. More stable structure, faster extraction, fewer headaches. 📚 We published a complete guide that includes: 👉 Step-by-step Python implementation using SeleniumBase's antidetect features. 👉 Residential proxy integration for scale. 👉 When to switch to a Web Scraping API for production. 👉 Full working code. Indeed processes 27 hires per minute. The data's there if you know how to collect it reliably.

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  • Fashion brands are scraping social media to predict your next favorite outfit. 💃 Companies track what micro-influencers are wearing to spot trends weeks before they hit mainstream. By collecting real-time data from social platforms, brands can: 🎨 Identify which colors, fabrics, and styles are gaining traction 🌍 Understand regional preferences across different markets 🏎️ Make faster, data-backed decisions on collection design Instead of waiting for trends to peak, fashion teams act on fresh insights while opportunities are still developing. This data extraction requires infrastructure that handles high request volumes, bypasses anti-bot measures, and maintains access to geo-specific content. That's where proxies enable brands to gather clean, location-specific data at scale without getting blocked. 💡 Public data is shaping the future of fashion. Are you tapping into it? 💫

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  • YouTube comments hold more insights than the videos themselves. Here's how to extract them without getting blocked. Audience sentiment, competitor mentions, trending reactions – it's all buried in the comment sections. But scraping at scale? That'll get you rate-limited fast. In this tutorial, you'll see exactly how to pull comment data using Python, yt-dlp, and residential proxies to stay under the radar. We'll show you how to: ✅ Extract comment IDs, authors, timestamps, and engagement metrics ✅ Configure proxies to avoid blocks and rate limits ✅ Export everything to clean CSV format Perfect for sentiment analysis, brand monitoring, or understanding what your audience actually thinks. Full code + walkthrough inside. 👇

  • The best investigative stories start with data no one else is watching. 👀 Journalists don't just wait for tips. They scrape public records at scale to uncover patterns that reveal hidden stories. What automated monitoring reveals: 👉 Corporate connections buried in business registrations 👉 Government spending patterns across thousands of contracts 👉 Property ownership networks that expose conflicts of interest 👉 Court filings that signal larger systemic issues Public documents hold the truth. But manually checking them is impossible at scale. Smart newsrooms automate the monitoring. They track changes across databases, flag anomalies, and surface stories before competitors even know they exist. The biggest scoops often come from the most boring sources, scraped systematically. 💡

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  • Training #AI models on video data? Here's how to automate YouTube downloads at scale. 🎬 We just released a tutorial on using Decodo Video Downloader to pull YouTube content directly into your Amazon S3 storage. Just list all the video IDs, we’ll automatically fetch and deliver MP4 or MP3 files straight to your storage. No scraping logic, no proxy setup, no download scripts. Built for data teams working on: 🎙️ Speech recognition models 📹 Video analysis tools 🎮 Multimodal AI systems The best part? Our Video Downloader works with AWS S3, Google Cloud Storage, and S3-compatible providers, and supports batch processing for high-throughput needs. Want to try it yourself? 🤔 Contact our Sales team and get an exclusive demo or extended trial. Watch the full guide 👇

  • Job postings tell you what companies won't. 🕵 Before press releases. Before earnings calls. Before official announcements. Hiring patterns expose business strategy in real time. 💡 What job ads reveal: 👉 New market expansion (regional sales roles in untapped territories). 👉 Product pivots (sudden spike in specialized engineering hires). 👉 Financial health (hiring freezes or aggressive talent acquisition). 👉 Tech stack changes (new frameworks appearing in job requirements). Competitors don't broadcast their next move. But their job boards do. 📊 Smart teams scrape job listings at scale to track these signals across hundreds of companies. It's competitive intelligence hiding in plain sight. One hiring pattern can tell you more than a dozen quarterly reports. ⭐

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  • Generic #ChatGPT is amazing at everything and perfect at nothing. 🫠 92% of Fortune 500 companies use GPT, but the ones winning aren't using vanilla models. They're training on their own data. The difference? 👀 Domain-specific accuracy. Generic models can't access your docs, understand your industry, or follow your exact guidelines. Good news: you don't need a PhD or massive budgets. From prompt engineering to fine-tuning, there are approaches for every skill level. Our guide covers: 👉 Fine-tuning vs. RAG vs. no-code platforms. 👉 Real examples: Octopus Energy handling 44% of inquiries with AI, Color 👉👉👉 Health cutting analysis from hours to 5 minutes. 👉 How to gather quality training data at scale. Read the full guide: https://lnkd.in/d3ChykV4

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  • Guess what? The newest Decodo #News just landed!! ⭐ Here are all the links you'll need: 👉 Our latest Tesonet Case Study – https://lnkd.in/dP_GEGq6 👉 EU Chat Control Vote – https://lnkd.in/dmkz9a9M 👉 Start using our Web Scraping API – https://lnkd.in/gCs_ETjw 👉 Learn how to scrape with #n8nhttps://lnkd.in/dCZ5KPyQ 👉 Learn how to scrape for market research – https://lnkd.in/dQqXuV97 👉 Build your own Crybaby bot – https://lnkd.in/dJY4vX9F

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