🌈 Pride is about showing up as your authentic self, and having a community that celebrates you for it. At Zyte, we’re proud to foster a culture where people from all backgrounds can contribute, grow, and belong. We know that diverse perspectives make us a stronger team, better partners, and a better company. This month and every month, we celebrate the LGBTQ+ community and the many contributions they’ve made to our workplace, our industry, and beyond. And we remain committed to creating an environment where everyone feels welcome, respected, and empowered to succeed. Happy Pride from all of us at Zyte. #Pride #Pride2026
Zyte
IT Services and IT Consulting
Ballincollig, Cork 75,015 followers
Home of the all-in-one, AI-powered Web Scraping API, and a world-class data delivery team.
About us
At Zyte, we’re all about empowering data-driven organizations to ethically and accurately collect web data to power their business. With over 14 years experience and our early authorship and ongoing maintenance of Scrapy, we’ve shaped the web scraping industry from Day 1. We help our clients… - With easy-to-use ways to collect, format and deliver web data, quickly, dependably and at scale, - Spend more time gleaning insights from highly accurate, business-critical data, and - Spend less money on the total cost of ownership in web data extraction. Zyte API abstracts away a historically disparate web data extraction tech stack into a single tool. Zyte API automates most anti-bot and proxy management, so developers can spend more time on strategy. Zyte API is a full-stack solution that crawls, unblocks and extracts data in minutes with the power of AI. Developers skip the hassle of creating manual parsing code and extract public data at unlimited scale. Zyte Data is an expert web data extraction team in your pocket. Our white glove service extracts any web data your business needs, regardless of project size and complexity. This includes a dedicated team and round-the-clock support. Zyte’s legal team is our backbone and is made up of the leading minds in web data extraction compliance. They stay on top of the ever-changing and opaque laws that loom over the industry. They evaluate compliance risks and inform customers about best practices. Zyte is certified by and a co-founder of the Ethical Web Data Collection Initiative (EWDCI) which recognizes web data providers operating with the highest level of ethical and legal standards. Come work for us! We encourage a flexible and diverse work environment, so we embraced the benefits of remote work from our very early beginnings. Our team includes over 200 employees in over 30 countries. All sharing the same drive, to do more with web data.
- Website
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https://www.zyte.com/
External link for Zyte
- Industry
- IT Services and IT Consulting
- Company size
- 201-500 employees
- Headquarters
- Ballincollig, Cork
- Type
- Privately Held
- Founded
- 2010
- Specialties
- Web crawling, Web scraping, Scraping, Scrapy, Data Science, Data extraction, Custom Data Solutions, Data Services, Data Mining, Smart Browser, Enterprise Proxy, Scrapy Cloud, Artificial Intelligence, Machine Learning, Proxy Management, Ethical Data, Web Scraping API, and Large Language Models
Locations
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Primary
Get directions
Cuil Greine House
Ballincollig Commercial Park
Ballincollig, Cork, IE
Employees at Zyte
Updates
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This month Zyte developer Akhter Wahab delivered a workshop on Turning Websites into Data for University students in their final semester, showing how Scrapy and ZyteAPI can be used to extract web data effectively. Thanks to UCP Lahore for having us and thank you to all students for engaging learning with us!
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A fascinating insight into what goes into extracting web data at scale from those who are actually doing it here. 👍
5 lessons from 5 interviews I’ve done at Zyte on AI, agents, and web scraping: 1. Simpler code is usually better scraping code. AI-generated code should be correct, yes. But in scraping, it also has to be readable and maintainable because websites change. 2. Developers are moving from coding-first to design-first. When agents can write code, the human work shifts toward requirements, schemas, examples, tests, and review. 3. AI multiplies judgment. It does not replace it. The strongest AI workflows I’ve seen come from people who already know what good looks like. 4. Data quality begins before AI enters the workflow. Before asking AI to validate data, you still need to define: did we catch every item, fill every field, and get the values right? 5. The best agent skill says the least. A useful skill gives the agent domain knowledge, tools, and evaluation criteria, but does not over-script every move. The pattern across all five interviews: AI is not making web scraping less human. It is moving the human work. From typing to designing. From one-off scraping to reliable loops. From code generation to evaluation. From “can the agent do it?” to “can we trust the system?” That feels like the real shift. Links to the Interviews in the comments.
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Zyte reposted this
🚨 11 days left. Early bird pricing for Extract Summit 2026 closes on June 30th, and once it's gone, rates go up. If you work with web data, this is the room to be in. Two continents, two days each: Austin in October and Dublin in November. Talks and hands-on workshops on the things that actually matter, ban management, headless browsers, AI-powered extraction, and proxy architecture, plus the legal and ethical questions that come with them. Lock in your early bird rate before June 30 👉 https://lnkd.in/di8REaH8 #WebData #WebScraping #DataExtraction #ExtractSummit2026 #AI
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Zyte reposted this
Four people, four diets, two work schedules, and a baby who answers to nobody. That was the moment I realised I didn’t need another “productivity hack” or coding demo. I needed a personal agent that could actually hold my life together: calendars, meals, DevRel work, stray ideas, and all the threads that usually live scattered across chats, tabs, and my own head. What I ended up building is less a chatbot and more a context layer: - Telegram as the capture surface, always where the friction is. - A Hermes runtime on a home Mac Mini handling tools, skills, memory, and cron jobs. - Durable notes in an Obsidian vault so that good answers don’t just disappear into chat history. - Separate profiles for home and work, each shaped by three simple files: who I am, how the agent should behave, and what’s worth remembering long‑term. - Skills as reusable playbooks for things I do often: background tasks, “last 30 days” reports, even turning recipes into a clean searchable database. - A hard privacy boundary: my journals are strictly off‑limits, the agent only writes into its own folder, and memory is used to reduce repeated steering—not to flatten me into a static profile. - A web‑data layer (via Zyte API) so “go fetch this from the web” doesn’t silently turn into half‑missing, unreliable data. - The biggest lesson: the model is not the setup. The loop around the model is the setup. If you’re tempted to spin up your own agent, don’t start by copying someone’s entire stack. Start with one broken workflow that’s leaking your time and attention—a recurring planning task, reporting ritual, or bit of home logistics that constantly trips you up. Solve just that. Let it settle. Then grow outward. The agent should take the shape of how you actually live and work, not the other way around. The taste, the privacy lines, and the final say should always stay yours. You tend it like a garden. You grow alongside it. You don't install it fully formed. I wrote up the whole architecture, layer by layer. Link in the comments. #AIagents #DevRel #SecondBrain #BuildingWithAI