PeekShot vs ScrapeGraphAI: Which is Better in 2026?
A comprehensive comparison of PeekShot and ScrapeGraphAI covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose PeekShot if:
- →You need bulk capture of thousands of urls from a csv, fanned out in parallel with retries or timestamped archive with one-year retention on every plan — nothing overwritten
Choose ScrapeGraphAI if:
- →You want more affordable paid plans (from $20/mo)
- →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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PeekShot vs ScrapeGraphAI: At a Glance
Pricing Comparison: PeekShot vs ScrapeGraphAI
Understanding the pricing differences between PeekShot and ScrapeGraphAI is crucial for making the right choice. Here's how their plans compare side by side.
PeekShot Pricing
ScrapeGraphAI Pricing
💡 Pricing takeaway: Both PeekShot and ScrapeGraphAI 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 PeekShot and ScrapeGraphAI stacks up.
What Makes Each Tool Unique
🔵 Unique to PeekShot
Features available in PeekShot but not in ScrapeGraphAI:
- ✓Bulk capture of thousands of URLs from a CSV, fanned out in parallel with retries
- ✓Timestamped archive with one-year retention on every plan — nothing overwritten
- ✓Visual pixel diffs, content diffs and metadata tracking with Slack/email/webhook alerts
- ✓Cookie-banner removal, lazy-load handling and sticky-element repositioning
- ✓API and webhooks to trigger captures from your own systems
🟣 Unique to ScrapeGraphAI
Features available in ScrapeGraphAI but not in PeekShot:
- ✓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: PeekShot
PeekShot captures and archives website screenshots in bulk and on a schedule, aimed at marketers and agencies who need proof of what a page looked like on a given date. You import a CSV or paste a list and it fans the captures out in parallel with retries on flaky pages, organising results into folders and reusable projects, then returns them as a ZIP or CSV download or syncs them to Google Drive or Dropbox. Captures are full-page and handle the things that usually break automated screenshots: lazy-loaded content, sticky elements repositioned correctly, and cookie-banner removal. Schedules run daily, weekly or monthly and every run lands in a timestamped archive where nothing is overwritten and nothing is deleted, with a year of retention on every plan — the archive being the actual product, not the individual image. Change monitoring sits on top: visual pixel diffs, content diffs and metadata tracking in one dashboard, with alerts to Slack, email or webhooks when a tracked page's pricing, headlines or SEO metadata shift. An API with webhooks lets captures be triggered from your own systems. Pricing meters on credits, one per full-page capture, and every plan carries the same features rather than gating them by tier. 100 free credits, no card.
Ideal use cases:
- •Teams or individuals who need bulk capture of thousands of urls from a csv, fanned out in parallel with retries
- •Teams or individuals who need timestamped archive with one-year retention on every plan — nothing overwritten
- •Teams or individuals who need visual pixel diffs, content diffs and metadata tracking with slack/email/webhook alerts
- •Teams or individuals who need cookie-banner removal, lazy-load handling and sticky-element repositioning
- •Anyone focused on screenshots workflows
- •Anyone focused on web-archiving 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
PeekShot 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?
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Frequently Asked Questions
Is PeekShot better than ScrapeGraphAI?
It depends on your needs. PeekShot offers 5 key features including Bulk capture of thousands of URLs from a CSV, fanned out in parallel with retries and Timestamped archive with one-year retention on every plan — nothing overwritten, while ScrapeGraphAI provides 6 features including Describe the data in a prompt instead of writing selectors and Structured JSON output resilient to markup changes. PeekShot uses a freemium model with a free tier, while ScrapeGraphAI is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is PeekShot cheaper than ScrapeGraphAI?
ScrapeGraphAI is cheaper, starting at $20/month compared to PeekShot's $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 PeekShot and ScrapeGraphAI together?
Yes, many users combine PeekShot and ScrapeGraphAI in their workflow. PeekShot excels at bulk capture of thousands of urls from a csv, fanned out in parallel with retries, 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 PeekShot and ScrapeGraphAI?
While both are data extraction tools, PeekShot emphasizes bulk capture of thousands of urls from a csv, fanned out in parallel with retries, 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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