Agenty vs DataBlue: Which is Better in 2026?
A comprehensive comparison of Agenty and DataBlue covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Agenty if:
- →You need a broader feature set (6 features vs 5)
- →You need reusable scraping agents that adapt to page changes or change detection with notifications on content updates
Choose DataBlue if:
- →You need clean markdown, links and structured json instead of raw html or residential and datacenter proxy rotation included in the credit price
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Agenty vs DataBlue: At a Glance
Pricing Comparison: Agenty vs DataBlue
Understanding the pricing differences between Agenty and DataBlue is crucial for making the right choice. Here's how their plans compare side by side.
Agenty Pricing
DataBlue Pricing
💡 Pricing takeaway: Both Agenty and DataBlue offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Agenty and DataBlue stacks up.
What Makes Each Tool Unique
🔵 Unique to Agenty
Features available in Agenty but not in DataBlue:
- ✓Reusable scraping agents that adapt to page changes
- ✓Change detection with notifications on content updates
- ✓URL to LLM-ready markdown conversion
- ✓Screenshot capture and redirect tracking
- ✓Proxy tiers from data-centre to global residential
- ✓Marketplace of prebuilt agents plus API access
🟣 Unique to DataBlue
Features available in DataBlue but not in Agenty:
- ✓Clean markdown, links and structured JSON instead of raw HTML
- ✓Residential and datacenter proxy rotation included in the credit price
- ✓Real headless browser rendering for SPAs and infinite scroll
- ✓One shared credit balance across scrape, crawl, search, SERP and Amazon APIs
- ✓Live sandbox running real requests with no signup, plus a cost calculator
Use Case Recommendations
Best for: Agenty
Agenty is a web scraping and browser automation platform built around reusable agents rather than one-off scripts. You configure an agent for a site, and it crawls, extracts structured data, captures screenshots, follows and records redirects, and can convert a URL into LLM-ready markdown — the last of which is what makes it relevant to AI pipelines rather than just to classic data collection. The agents are described as adapting to page changes, which is the maintenance problem that kills hand-written selectors over time. Change detection is the second half of the product: point an agent at a page, and it monitors for updates and notifies you when the content changes, which turns the same infrastructure into a competitor-price or listing monitor without extra work. Scheduling granularity is one of the axes plans scale on, running from fifteen minutes down to one minute at the top. Proxy tier is the other and matters more than it looks: the entry plan is data-centre proxies, the middle adds static proxies, and the higher plans move to residential proxies scoped first to the US and EU and then globally, which is usually what determines whether a given target site is scrapable at all. There is a marketplace of prebuilt agents, an API, integrations, and a fourteen-day free trial with a hundred pages of credit. The vendor reports 50 million-plus pages processed and a 99.9% uptime SLA.
Ideal use cases:
- •Teams or individuals who need reusable scraping agents that adapt to page changes
- •Teams or individuals who need change detection with notifications on content updates
- •Teams or individuals who need url to llm-ready markdown conversion
- •Teams or individuals who need screenshot capture and redirect tracking
- •Anyone focused on web-scraping workflows
- •Anyone focused on change-detection workflows
Best for: DataBlue
DataBlue is a scraping and search API that returns LLM-ready output rather than raw HTML. You POST a URL with a list of formats and get back clean markdown, extracted links and metadata as structured JSON, ready to drop into a RAG pipeline without writing a parser. The three parts of scraping that usually become their own infrastructure projects are handled inside the service: a rotating global pool of residential and datacenter proxies so there are no IP bans or CAPTCHAs to manage, a real headless browser that executes JavaScript and waits for content so single-page apps and infinite scroll are captured as a user would see them, and structured extraction so what comes back is usable instead of soup. Beyond /v1/scrape there are crawl, map, search and extract endpoints, and a wide set of data APIs — Google SERP in Lite and Advanced variants, Maps, Images, News, Finance, Jobs, Hotels, Flights, Keyword Suggestions, Trends interest and autocomplete, plus Amazon products, autocomplete, full scrape, store and A+ content. Everything draws on one shared credit balance rather than separate quotas per product, and a workload calculator shows what a run will cost before you execute it, which is a meaningful difference from providers where credit weights are discovered after the invoice. Jobs can run async with polling or webhooks, job history is retained, and the vendor publishes a live sandbox that runs real requests against sample queries with no signup so you can see the exact response shape first.
Ideal use cases:
- •Teams or individuals who need clean markdown, links and structured json instead of raw html
- •Teams or individuals who need residential and datacenter proxy rotation included in the credit price
- •Teams or individuals who need real headless browser rendering for spas and infinite scroll
- •Teams or individuals who need one shared credit balance across scrape, crawl, search, serp and amazon apis
- •Anyone focused on api workflows
- •Anyone focused on web-scraping workflows
🗃️ Other Data Extraction Tools to Consider
Agenty and DataBlue aren't the only options. Here are other popular tools in the same space:
Browse AI
No-code web scraping and monitoring tool.
Maxun
Open-source no-code platform to crawl, scrape, search, and AI-extract web data, with MCP, SDKs, and a visual recorder
Smooth
Serverless browser agent API scoring 92% on WebVoyager — proxies, sessions, and CAPTCHA solving handled
Siftly
Drop invoices or receipts in, get clean CSV, Excel, or Google Sheets data out, from $3.99/month
SocialKit
One API for YouTube, TikTok, Instagram, Facebook, X, and LinkedIn data — transcripts, stats, and profiles
AnyAPI
One key, one wallet, pay-per-request access to 1,200+ web data sources
Is one of these your tool?
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Frequently Asked Questions
Is Agenty better than DataBlue?
It depends on your needs. Agenty offers 6 key features including Reusable scraping agents that adapt to page changes and Change detection with notifications on content updates, while DataBlue provides 5 features including Clean markdown, links and structured JSON instead of raw HTML and Residential and datacenter proxy rotation included in the credit price. Agenty uses a paid model with a free tier, while DataBlue is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Agenty cheaper than DataBlue?
Both tools are similarly priced, starting at $29/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Agenty and DataBlue together?
Yes, many users combine Agenty and DataBlue in their workflow. Agenty excels at reusable scraping agents that adapt to page changes, while DataBlue shines with clean markdown, links and structured json instead of raw html. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Agenty and DataBlue?
While both are data extraction tools, Agenty emphasizes reusable scraping agents that adapt to page changes, whereas DataBlue is known for clean markdown, links and structured json instead of raw html. The best choice depends on your specific workflow and feature priorities.
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