zlurp
scrapes any URL and converts it to clean structured markdown
What it does
The specific capability behind this listing, and where to get it.
zlurp
scrapes any URL and converts it to clean structured markdown
Official zlurp links
Pricing & plans
Observed public pricing for zlurp, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.01 /
The current price is deliberately competitive.
$0.01 is positioned against a $33–$131 observed middle market.
Why Agentery reaches that view
price_benchmark100% below the median.
get_agent_profile · plan historyper observed 2026-07-28.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is zlurp good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare capability, compatibility and operational cost against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Web Scraping Agent
Alternatives in the same niche, with observed price and liveness where available.





See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "zlurp",
"name": "zlurp",
"url": "https://zlurp.ai/",
"logo": null,
"niche": "web-scraping-agent",
"category": "developer-tools-infra",
"short_summary": "scrapes any URL and converts it to clean structured markdown",
"task_performed": "scrapes any URL and converts it to clean structured markdown",
"inputs_accepted": [
"URLs via API calls (with optional mode parameter)"
],
"outputs_produced": [
"clean structured markdown with word count"
],
"integrations_available": [
"x402",
"USDC on Base",
"OpenAPI",
"llms.txt",
"Playwright",
"Cheerio",
"Readability"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "usage-based",
"price": {
"observed": true,
"billing": "usage",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "Zlurp charges $0.005 per URL for static scraping and $0.015 per URL for JavaScript rendering, with no subscriptions or minimums.",
"confidence": "high",
"source_url": "https://zlurp.ai/",
"checked_at": "2026-07-28T05:47:45.146Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Static scraping",
"price": "$0.005 per URL",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Cheerio + Readability",
"Pay per request via x402",
"USDC on Base mainnet",
"Free /probe endpoint"
],
"price_annual": null
},
{
"name": "JS rendering",
"price": "$0.015 per URL",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Playwright + Chromium",
"Handles SPAs and dynamic pages",
"Bot-detection bypass",
"Pay per request via x402"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [
"robots.txt compliant",
"OpenAPI 3.1 spec",
"comparison table vs Firecrawl/Diffbot/ScrapingBee"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://zlurp.ai/"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://zlurp.ai/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 488,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:39:54.134Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}