MCP Comparison · 2026
Apify vs Oxylabs MCP Server
Comparing Apify and Oxylabs as MCP servers? Apify (run apify actors) is best when web scraping with pre-built actors. Oxylabs (scrape structured web data) is best when structured google + amazon scraping. Both run as Model Context Protocol servers and can coexist in the same client. Updated 2026.
Verdict
Two official paid scraping platforms that differ in what you buy. Apify sells solved extractors - pre-built Actors for Google Maps, Search and Shopping, social platforms, and e-commerce products - so a covered target needs no parser from you. Oxylabs sells structured output from its own network: parsed Google and Amazon results, JavaScript-rendered extraction, and geo coverage across 195-plus countries.
Pick by whether an Actor already exists for your target. If it does, Apify is the shortest path at around five minutes. If not - or if the site blocks you - Apify's own listing concedes both gaps, naming custom one-off flows with no Actor and sites with hard anti-bot blocks. Oxylabs is the better fit for high-volume SERP and e-commerce data where you want rows back rather than pages to parse.
Both bill by usage, and both listings warn against the same misuse: reaching for a paid network when the site publishes an API, or for low-volume work that Fetch or Firecrawl would handle free. Apify additionally flags workflows needing strict cost control, since an agent retrying a failing Actor run spends real money. Start with the free tools, and choose between these two by whether you need a ready-made extractor or structured data at volume.
Verdict by top-mcps.com — both entries re-verified on catalog refresh.
Side-by-side specs
Pulled from each MCP's verified fact sheet.
| Apify | Oxylabs | |
|---|---|---|
| Primary function | Run Apify Actors | Scrape structured web data |
| Maintainer | Apify | Oxylabs |
| Pricing | Freemium | Freemium |
| Setup complexity | Low · ~5 min | Medium · ~5 min |
| Transport | stdio | stdio |
| Auth model | API key | API key |
| License | Apache-2.0 | MIT |
| Language | TypeScript | Python |
| Latest version | latest | latest |
| Compatible clients | Claude, Cursor, VS Code, Windsurf, Any MCP-compatible client, Apify account | Claude, Cursor, VS Code, Any MCP-compatible client, Oxylabs accounts |
| Last verified | 2026-08-19 | 2026-07-16 |
Which one should you pick?
Decision rubric drawn from each MCP's documented strengths.
Choose Apify
- Web scraping with pre-built Actors
- Google Maps / Search / Shopping extraction
- Social media scraping (TikTok, Instagram, X)
Choose Oxylabs
- Structured Google + Amazon scraping
- JavaScript-rendered page extraction
- Geo-restricted data (195+ countries)
Pick something else if…
- Custom one-off flows with no Actor
- Sites with an existing API
Feature breakdown
Key capabilities each server ships out of the box.
Apify
- Thousands of pre-built Actors
- Managed Chromium / proxy infrastructure
- Structured dataset output
- Run-history + scheduling
- Per-Actor pricing transparency
Oxylabs
- Universal scraper + Google/Amazon parsers
- JS rendering + CAPTCHA handling
- Geo-routing across 195+ countries
- Optional AI Studio tools (scraper, crawler, browser agent)
- Official Oxylabs, MIT, Python (uvx)
Install snippets
Open the detail page for ready-to-paste config for every major client.
FAQ
Do Apify and Oxylabs overlap enough that one replaces the other?
Partly. Both scrape at volume, but Apify's value is its Actor library and Oxylabs' is structured output from its own network. Teams usually pick one and add the other only when a specific target defeats it.
Which one handles a site that blocks datacenter traffic?
Oxylabs, whose geo-distributed network and JavaScript rendering are its stated strengths. Apify's listing explicitly excludes sites with hard anti-bot blocks, so that is the boundary where the two stop being interchangeable.
Apify vs Oxylabs: which MCP server should I use?
Pick Apify when web scraping with pre-built actors. Pick Oxylabs when structured google + amazon scraping. Apify is built for run apify actors, while Oxylabs focuses on scrape structured web data.
Can I run both Apify and Oxylabs together?
Yes. MCP clients run each server as a separate process and surface every server's tools simultaneously, so you can install both and let your agent decide which to call. Be deliberate with auth scopes when stacking servers.
Which is easier to set up, Apify or Oxylabs?
Apify has the lighter setup. Apify reports low complexity (~5 min); Oxylabs reports medium complexity (~5 min).
More Apify comparisons
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