Expose vs ScrapeGraphAI: Which is Better in 2026?
A comprehensive comparison of Expose and ScrapeGraphAI covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Expose if:
- →You want more affordable paid plans (from $8/mo)
- →You need person, company and school search from email, phone, url, domain or name or structured unified record rather than a list of sources to correlate
Choose ScrapeGraphAI if:
- →You want a free tier to get started without commitment
- →You need a broader feature set (6 features vs 5)
- →You need describe the data in a prompt instead of writing selectors or structured json output resilient to markup changes
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Expose vs ScrapeGraphAI: At a Glance
Pricing Comparison: Expose vs ScrapeGraphAI
Understanding the pricing differences between Expose and ScrapeGraphAI is crucial for making the right choice. Here's how their plans compare side by side.
Expose Pricing
ScrapeGraphAI Pricing
💡 Pricing takeaway: ScrapeGraphAI has an edge with a free tier, letting you start without commitment. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Expose and ScrapeGraphAI stacks up.
What Makes Each Tool Unique
🔵 Unique to Expose
Features available in Expose but not in ScrapeGraphAI:
- ✓Person, company and school search from email, phone, URL, domain or name
- ✓Structured unified record rather than a list of sources to correlate
- ✓REST API, MCP server, agent skill and CLI — one credit per query from any of them
- ✓PDF export and saved investigations on every tier
- ✓Sub-second typical response times
🟣 Unique to ScrapeGraphAI
Features available in ScrapeGraphAI but not in Expose:
- ✓Describe the data in a prompt instead of writing selectors
- ✓Structured JSON output resilient to markup changes
- ✓Page and endpoint monitors that alert on change
- ✓Concurrent crawls and per-tier request-rate ceilings
- ✓Basic and advanced proxy rotation on higher tiers
- ✓Non-expiring credit packs that stack on any subscription
Use Case Recommendations
Best for: Expose
Expose is an OSINT search engine that cross-references public data across thousands of sources and returns a single structured record instead of a list of links to correlate by hand. It searches three entity types — people, companies and schools — and lets you start from whatever identifier you happen to have: an email address, a phone number, a URL, a domain or a name. The output is a unified record assembled from public records, social profiles and other open-source data, with reported response times around a second for work that would otherwise be an afternoon of tab-switching. What makes it relevant beyond traditional investigation tooling is the access surface: the same query is available through a REST API, an MCP server, an agent skill or a CLI, and it costs one credit regardless of which one you call it from. The MCP server in particular means an AI agent doing due diligence or lead research can perform an OSINT lookup as a native tool call rather than through a scraping workaround. PDF export and saved investigations are included across tiers, with email support. Pricing is straightforwardly credit-based, and the tier you pick is essentially a choice of how many searches and AI generations you need per month.
Ideal use cases:
- •Teams or individuals who need person, company and school search from email, phone, url, domain or name
- •Teams or individuals who need structured unified record rather than a list of sources to correlate
- •Teams or individuals who need rest api, mcp server, agent skill and cli — one credit per query from any of them
- •Teams or individuals who need pdf export and saved investigations on every tier
- •Anyone focused on osint workflows
- •Anyone focused on mcp workflows
Best for: ScrapeGraphAI
ScrapeGraphAI is an AI-native web-scraping API that replaces brittle CSS selectors with a prompt: you say what data you want from a page and it returns structured output, so a site redesign that would have broken a traditional scraper mostly does not break this. It grew out of a widely used open-source Python library into a hosted V2 API the company describes as better, faster and cheaper than the first generation, and the commercial product wraps the extraction core in the operational parts that matter at scale — concurrent crawls, request-rate ceilings, and monitors that watch a page or endpoint and alert on change rather than requiring you to poll it yourself. Proxy rotation appears as a tiered feature, basic on the mid plan and advanced above it, which is the practical difference between scraping a cooperative site and scraping one that does not want to be scraped. Everything is metered in API credits with published rate limits per tier, and one-time credit packs stack on top of a subscription and never expire, so a spiky backfill job does not force a permanent upgrade. The company is SOC 2 Type 2 compliant and states that all requests run under that compliance boundary. Documentation, an API status page, a changelog and a comparison page are public, and there is a dedicated startup programme.
Ideal use cases:
- •Teams or individuals who need describe the data in a prompt instead of writing selectors
- •Teams or individuals who need structured json output resilient to markup changes
- •Teams or individuals who need page and endpoint monitors that alert on change
- •Teams or individuals who need concurrent crawls and per-tier request-rate ceilings
- •Anyone focused on web-scraping workflows
- •Anyone focused on structured-data workflows
🗃️ Other Data Extraction Tools to Consider
Expose and ScrapeGraphAI 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?
This page ranks for "Expose vs ScrapeGraphAI" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.
Frequently Asked Questions
Is Expose better than ScrapeGraphAI?
It depends on your needs. Expose offers 5 key features including Person, company and school search from email, phone, URL, domain or name and Structured unified record rather than a list of sources to correlate, while ScrapeGraphAI provides 6 features including Describe the data in a prompt instead of writing selectors and Structured JSON output resilient to markup changes. Expose uses a paid model, while ScrapeGraphAI is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Expose cheaper than ScrapeGraphAI?
Expose is cheaper, starting at $8/month compared to ScrapeGraphAI's $20/month. ScrapeGraphAI offers a free tier, making it easier to get started. Always check the official websites for the most current pricing.
Can I use Expose and ScrapeGraphAI together?
Yes, many users combine Expose and ScrapeGraphAI in their workflow. Expose excels at person, company and school search from email, phone, url, domain or name, while ScrapeGraphAI shines with describe the data in a prompt instead of writing selectors. 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 Expose and ScrapeGraphAI?
While both are data extraction tools, Expose emphasizes person, company and school search from email, phone, url, domain or name, whereas ScrapeGraphAI is known for describe the data in a prompt instead of writing selectors. The best choice depends on your specific workflow and feature priorities.
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