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Apify vs SuperCompress

ApifySuperCompress

Bottom line: Apify for developers and technical data teams; SuperCompress for developers cutting LLM API costs.

Cloud platform for web scraping and browser automation at scale

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Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.

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Votes00
PricingFreemiumFreemium
CategoryWeb ScrapingCoding
Tags
web-scrapingbrowser-automationdeveloper-toolsdata-extractionproxies
llmdeveloper-toolscost-optimization
Best for
  • Developers and technical data teams
  • High-volume or complex scraping
  • Teams needing managed proxies at scale
  • Developers cutting LLM API costs
  • RAG pipelines with oversized retrieved context
  • Teams running coding agents
Pros
  • Large marketplace of prebuilt Actors
  • Powerful for custom, code-based scrapers
  • Managed proxies and anti-blocking tools
  • Scheduling, storage, and datasets built in
  • Robust API and JS/Python SDKs
  • Open source under the MIT license and free to self-host
  • Genuine free tier: 1M tokens/month with no credit card
  • Cheap
  • transparent usage pricing at $0.30 per 1M tokens
  • Runs on CPU with no GPU or model download (~60ms per compression)
Cons
  • Usage-based credit + proxy billing is hard to forecast
  • Store Actors add their own separate pricing
  • Steeper learning curve than no-code tools
  • No self-hosted/on-prem option
  • Costs can climb at high volume
  • Early-stage project with a small team and limited independent track record
  • Headline compression (~58-82%) and >98% retention figures are vendor-reported and benchmark-dependent
  • Compression is lossy
  • so aggressive settings can drop context that later turns out to matter
  • Text-only: it does not compress image or audio context

Comparison generated from each tool's listing. Add or remove tools above to change it.