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#ExtractSummit2026 The world's largest web scraping conference returns. Austin Oct 7–8 · Dublin Nov 10–11.

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Blog

My agentic coding setup: Claude Code, multi-agent orchestration, and how I actually work

Ayan Pahwa
May 22, 2026
Ayan's 4 agent team, using Claude's /goal, and the models and coding agents he uses to code effectively.
How ToLarge Language Models (LLMs)
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Blog

llms.txt isn’t dead: How we put dev docs in AI’s spotlight

Adrian Chaves
10 min
May 21, 2026
Marketers are giving up on the idea of plain-text pages - but llms.txt and Markdown are how we’ll get our docs in the hands of LLMs and developers.
Use case
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Blog

The great wall of data: The complexities of web scraping in the Asian market

Theresia Tanzil
10 min
May 20, 2026
While the technological arms race of web data access is universal, the battleground in Asia has its own unique rules of engagement.
Use case
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Blog

Actually, web scraping APIs are cheaper

Theresia Tanzil
10 min
May 18, 2026
Many data teams still think running a proxy-based scraping stack is most cost-effective. Industry pressures and our research disprove that idea.
Use case
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Blog

The science of compliance: Tech tips for a legal data pipeline

Theresia Tanzil
10 min
May 13, 2026
New legal and regulatory compulsions for web data have significant business consequences. So, how can technologists engineer their company’s risk profile lower?
Use case
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Blog

AI won’t fix your data quality (until you answer these three questions)

Neha Setia Nagpal
10 min
May 13, 2026
In our interview, a QA expert warns - before you delegate web scraping quality assurance to AI, make sure you can describe what ‘good’ looks like for yourself.
Use case
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Blog

Why 10 million tokens won’t save your AI agent (and what will)

Joaquin Bonifacino
10 min
May 8, 2026
New models can process larger inputs, and confuse themselves in the process. Context management techniques can solve the problem.
Use case
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Blog

Web scraping APIs vs proxies: A head-to-head comparison

Theresia Tanzil
10 min
May 6, 2026
Proxies are essential to scraping at scale. So, how do full-stack web scraping APIs compare?
Use case
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