Recap of Zyte API and Reflections on Traditional web Scraping Systems
We're thrilled to introduce a groundbreaking development from Zyte which is due this month. This innovative scraping method is the result of blending Artificial Intelligence with a decade of industry expertise, promising to revolutionize the way we approach web scraping. In future editions, we'll delve deeper into this exciting advancement, exploring its features and potential impacts.
Smartness is in knowing, What is useful and what is not serving anymore at this moment.
It might be baffling to read this quote in a web scraping newsletter but it's relevant and important because the goal of this issue is to nudge you to reflect on your current methodology of building large-scale web scraping systems and wonder how you can improve it.
Peter Senge, in "The Fifth Discipline Fieldbook," introduces us to the concept of a deep learning cycle, a process that transforms our capabilities, enabling us to achieve what was previously beyond our reach. This cycle begins with a deep reflection on our practices and the challenges we face, followed by the aspiration and readiness to embrace change.
My conversations with developers reveal a common narrative: the construction of large-scale web scraping solutions often involves a complex orchestration of tools and technologies. This intricate setup, while functional, comes with its own set of challenges, including high operational costs, maintenance demands, susceptibility to uncertainties, and significant setup efforts.
Drawing inspiration from "Storyworthy" by Matthew Dicks, we're reminded of the importance of change and evolution—not just in stories but in our professional endeavours as well. True to the essence of a compelling narrative, our journey with web scraping must reflect a transformation, starting from one point and evolving into something new, however subtle that change might be.
This brings us to a series of reflective questions designed to inspire a reevaluation of our web scraping systems:
1. How can we build a web scraping system that is not only faster and more scalable but also sustainable and efficient over time?
2. With the advent of AI tools and technologies, what strategies can we employ to enhance our existing systems?
3. In an era where doing more with less is paramount, how can we optimize our resources to achieve the desired outcomes?
4. Amidst the plethora of tools at our disposal, how do we determine what's essential, what can be repurposed, and what should be delegated to the advanced tools of today?
We're eager to hear your stories and insights on Discord. How have you navigated the challenges of web scraping, and what changes have you embraced to stay ahead in this dynamic field? Share your journey with us, and let's explore together how AI can transform our approaches to web scraping for the better
Let me know till then,?
1. A Quick Recap- How Zyte API simplifies the fundamentals of your Web scraping project!
2. Blogs on Zyte API? Shared in #Show-and-tell? 3. Upcoming Events
4. Webinar Recap- Detect, Analyze & Respond. Harnessing Data To Combat Propaganda And Disinformation| Nesin Veli
5. Member Spotlight: A Glimpse into the Story of One Community Member at a Time. ?
How Zyte API takes care of the fundamental needs of your web scraping project!
When you plan the tech stack for a web scraping project, six pieces of the puzzle require your attention and set the foundation of the project namely -
P.S. The examples given in the steps above, is the tech stack that developers use at Zyte.
The graph flows like this:
1 —> 2 —> 3 —> 4 —> 5 —> 6? Scrapy→ Smart Proxy Manager —> Advanced Anti-ban Solution —> Browser Automation —> Scrapy Cloud —> Spidermon.
?This list grows even further if you don’t use the Scrapy framework and use other languages like Python, Java, Node.js, or C#.
When putting these puzzle pieces together, the biggest challenge is integration. Six levels of integration take a lot of time, resources, and management. Especially when it comes to scaling it up.?
The good news is that Zyte API is powerful enough to take care of the rotating proxy solution, anti-bans, browser automation and a lot more. So basically, Zyte API drastically simplifies the tech stack for you.?
领英推荐
1 —> [2 + 3 + 4] —> 5 —> 6 :: Scrapy → Zyte API → Scrapy Cloud → Spidermon. The entire puzzle is now reduced from 6 steps to 4.?
Blogs on Zyte API?
Upcoming Event- "Exploring the Frontier of AI Scraping: A Fireside Chat with Zyte's Tech Leaders- Kevin Magee and Konstantin Lopukhin "
Join us for an engaging fireside chat featuring Kevin Magee, CTO of Zyte, and Konstantin Lopukhin, Head of Data Science.
Dive deep into the exciting world of AI Scraping as they discuss the innovative launch of Zyte's AI Scraping Spiders. Explore our journey and vision, the strategic advantages of the Zyte API over other LLMS like ChatGPT, and the broader implications of AI in scraping. Kevin and Konstantin will also shed light on the reusability and templates that make AI Scraping a game-changer.
It will be worth connecting with Konstantin Lopukhin (sharing a secret-he explored many LLMs)-@konstantinlopukhin_16347 on Discord, on the cutting edge of data science and AI technology.
Date: 21 Feb 2024
Time: 4 pm GMT| 5 pm CET
Webinar Recap- Wednesday - 7 Feb 2024?
Detect, Analyze and respond. Harnessing Data To Combat Propaganda And Disinformation| Nesin Veli
Nesin shared Identrics' unique techniques of data aggregation, OSINT utilization, proprietary knowledge extraction, and disinformation detection, all aimed at fostering a more truthful, transparent digital space. By attending Nesin’s talk attendees gained an understanding of how the misuse of data amplifies the spread of propaganda and disinformation, Insights into the technologies and methodologies used to aggregate and analyze data and Knowledge of the role of deploying sophisticated hate speech detection models.
Member Spotlight: A Glimpse into the Story of One Community Member at a Time ?
Nesin Veli , PM Identrics
We're featuring Nesin Veli, Project Manager at Identrics. Nesin's work, focused on data aggregation, OSINT, knowledge extraction, and disinformation detection, aims to create a more truthful digital space. Through his leadership, Identrics addresses the challenges of digital misinformation, providing insights and technologies that are crucial in today's digital landscape. Nesin's contributions underscore the importance of transparency and accuracy online, reflecting his dedication to enhancing digital communication integrity.
until next time,