About this site
Sourced research that helps developers and teams pick web data tools for AI, from crawl APIs and agent browsers to proxies and search APIs.
This site helps developers and teams choose the web data tools behind AI products. If you’re building an agent, a RAG pipeline or a data product that needs pages from the open web, the tools you pick decide what you pay, how often requests fail and how much glue code you maintain.
Every article is built around one decision: which tool, which plan, or whether you need one at all. Each one ends with who should pick what, and why.
What I cover #
| Category | What these tools do |
|---|---|
| Crawl and extract APIs | Turn web pages into clean text, Markdown or JSON that a model can use |
| Agent browsers | Hosted browsers that AI agents and scripts can control |
| Scraping APIs | Fetch pages for you, with proxies and JavaScript rendering handled on their side |
| Proxies | IP networks you route your own requests through |
| Search and SERP APIs | Search results as structured data, either from Google or from a vendor’s own index |
You’ll find head-to-head comparisons, pricing breakdowns, alternatives pages and plain-English explainers. If a free or open-source option is the right answer, I say so.
Who writes it #
I’m Anurag Kumar, and I research and write the articles here. I’ve written in-depth comparisons of SERP APIs and web data tools before, and this site applies the same approach to the wider set of tools that feed web data into AI. More on the author page.
I use AI tools to help with research and drafting. The editorial policy explains how that works and who checks every post before it goes live.
Who funds this site #
No vendor covered here funds this site or gets a say in what it publishes. I do have a business connection to one covered service, apiserpent.com; the disclosure page and every article that covers it say so.
Sponsors can’t buy verdicts. No payment changes a recommendation, a ranking or a line of criticism.
The site earns money in two ways, and both are labeled:
- Affiliate links. If you buy through one, the site may earn a commission at no extra cost to you.
- Sponsored placements. A vendor can pay for a slot or a post marked “Sponsored”.
The disclosure explains both in plain terms. Vendors can read what they can and can’t buy on the advertise page.
How I research #
I start with official pricing pages and docs, then GitHub, independent studies, review sites and developer discussions. Prices and limits carry the date I checked them, and I re-check them at least every 90 days.
Right now the articles here are research-only. I plan to add small, logged checks on free tiers later, and they’ll appear as dated updates. The methodology covers all of it.
Found a mistake? #
Tell me. The editorial policy explains how to report an error and how corrections are noted on the post.
Other sites I run #
I also write about SERP APIs on a separate site that I own. I keep the two sites separate: they don’t link to each other or promote each other.