Olostep

Olostep

Web data API for AI agents: scrape, crawl, search, and monitor.

95/100Safe BetFree · from $9/moFreemium

A practical, developer-friendly API for web data extraction at competitive prices. The breadth of endpoints and transparent top-ups make it a solid choice for AI agent builders. But the tiny free tier and lack of enterprise compliance hold it back for larger teams.

Verified 18d ago · liveness 95/100 · cite: rightaichoice.com/tools/olostep

Best for
  • Developers building AI agents needing real-time web data extraction
  • Data teams requiring scalable batch scraping from thousands of URLs
  • SaaS companies needing web monitoring for brand protection or price changes
  • Researchers automating collection of web-based datasets and summaries
Not ideal for
  • Non-technical users requiring a point-and-click interface
  • Enterprises requiring SOC2 compliance or on-premise deployment
  • Hobbyists needing a generous free tier beyond 500 requests
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IntermediateFor developers: install the Python or Node.js SDK (pip/npm), grab an API key from the dashboard, and run your first scrape in under 5 minutes. The MCP Server works immediately in Claude Code or Cursor without install. CLI setup: npm i -g olostep-cli, then 'olostep scrape https://example.com'. Non-technical users may need 15-20 minutes to understand endpoints and parameters.API · CLI · PluginAPI available3.2k viewsVerified 18d ago
Pricing
Free · from $9/mo
FreemiumFree tier8 plans4 hidden costs
Learning curve
Intermediate
For developers: install the Python or Node.js SDK (pip/npm), grab an API key from the dashboard, and run your first scrape in under 5 minutes. The MCP Server works immediately in Claude Code or Cursor without install. CLI setup: npm i -g olostep-cli, then 'olostep scrape https://example.com'. Non-technical users may need 15-20 minutes to understand endpoints and parameters.
Runs on
APICLIPlugin
API available · 9 integrations
Who it's for
AI agent developerData engineerML researcher
Live sentiment
Is Olostep actually worth it?

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  • Real pros & cons from real users
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Skip it if

Skip Olostep if you need a point-and-click interface, require SOC2 compliance, or expect a generous free tier beyond 500 requests.

The 30-second take
Biggest gripe

Going past your plan's request limit forces you to buy credit packs (e.g., $20 for 10k credits), which are valid only 6 months.

Price reality

Olostep's pricing is competitive for low-to-moderate usage: $9/mo for 5,000 requests ($0.495/1K) beats Firecrawl's $19/mo for 4,000 credits. At scale, $399/mo for 1M requests ($0.399/1K) is cheaper than Apify's $499 for 100,000 compute units. However, forced JavaScript rendering adds hidden cost per request. The Trial tier (500 requests) is less generous than Firecrawl's 500 free credits. Top-up credit packs ($20/10K, $200/250K, $1,000/2M) offer flexibility but expire in 6 months.

In short

Olostep — Web data API for AI agents: scrape, crawl, search, and monitor. Best for Developers building AI agents needing real-time web data extraction, Data teams requiring scalable batch scraping from thousands of URLs, SaaS companies needing web monitoring for brand protection or price changes. Free to start; paid plans from $9/mo.

What's new in Olostep

Checked 6 days ago

Across the latest 9 updates: 9 feature updates.

Viability Score

95/100
Safe Bet

How likely is Olostep to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
100
funding runway
80
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Scrape URLs to Markdown, HTML, JSON, or screenshots
  • Crawl sites with configurable max pages and include/exclude filters
  • Map/sitemap generation from any URL
  • Batch process up to 10,000 URLs in 5-8 minutes
  • Search the web with natural language (Web Search API GA)
  • AI-powered answer extraction with citations (Answer endpoint)
  • Monitor pages for content changes (Monitors API)
  • Persistent storage with expires_in parameter (10d to never)
  • Native Python SDK client
  • Native Node.js SDK client
  • MCP Server integration
  • CLI for terminal usage
  • Webhook events for async processing
  • AI-powered browser automations (Scale plan+)
  • Credit packs for top-ups valid 6 months

About Olostep

FreemiumIntermediateAPI availableAPI · CLI · Plugin

Olostep is a unified web data API purpose-built for AI agents, LLMs, and automation pipelines. It provides endpoints for scraping any URL to clean Markdown, HTML, JSON, or screenshots; crawling entire sites with configurable filters; mapping URL structures; searching the web with natural language; and extracting AI-powered answers with citations. The recently launched Monitors API enables automated periodic extraction with change detection, and the new storage parameter lets you persist results from 10 days to indefinitely. Native Python and Node.js SDKs, an MCP Server, and a CLI make integration straightforward. Compared to scraping frameworks like Scrapy or browser automation like Playwright, Olostep offers a managed API with built-in IP rotation and JavaScript rendering. It competes with Firecrawl and Apify but differentiates on transparent pricing and pay-per-use top-ups. Best for developers and data teams needing scalable, real-time web data for AI applications.

Behind the Verdict

Olostep gets a lot right: it's a single API for scraping, crawling, searching, answering, and monitoring the web. That's convenient for developers building AI agents who want one provider instead of stitching tools together. The pricing is refreshingly clear — no hidden per-page fees, just published per-1K costs and top-up packs. The newer storage parameter and Monitors API add persistence and change detection that were missing. Where it bites: the free tier is 500 requests across all endpoints, which is tight for evaluation. Enterprise features like SOC2 compliance and dedicated support are absent. If you need compliance or high-volume guarantees, Firecrawl or Apify might be safer bets. For most dev teams building AI features — especially with RAG or agentic workflows — Olostep is a pragmatic pick. We'd reach for it when we need to move fast and want a single dashboard for multiple web data tasks.

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Real-world workflow fit

Concrete scenarios for the personas Olostep actually fits — and what changes day-one when you adopt it.

AI agent developer

Building a Slack bot that answers company questions from docs and web searches.

Outcome: Integrate Olostep's Search and Answer APIs via the MCP Server—bot returns cited answers from live web sources in under 2 seconds.

Data engineer

Monitoring competitor pricing pages weekly.

Outcome: Set up a recurring crawl with the Schedules API, store results with storage parameter (90d), and trigger a Slack notification via webhooks on price changes.

ML researcher

Collecting 10,000 product descriptions for a classification model.

Outcome: Upload a CSV of URLs to the Batch endpoint, retrieve structured JSON with self-healing Parsers, and download results in 5-7 minutes with no manual scraping.

Use Cases

Models Under the Hood

proprietary AI models for answer extraction

as of 2026-07-14

Limitations

  • No free ongoing plan—only a Trial tier with 500 requests.
  • Batch processing limit is 10,000 URLs, not 100,000.
  • JavaScript rendering is forced on all requests, which adds overhead for simple pages.
  • Usage-based pricing with credits means costs can scale unpredictably for high-volume scraping.
  • No publicly documented SOC2 compliance or enterprise SLAs.

as of 2026-07-02

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Olostep tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Trial

$0/mo

Ideal for

Developers evaluating Olostep's API with small-scale tests of up to 500 requests, no credit card required.

What this tier adds

Free entry point with 500 requests, but low rate limits and JavaScript rendering forced on all requests.

Starter

$9/mo

Ideal for

Solo developers or small projects needing up to 5,000 successful requests per month with 150 concurrent requests.

What this tier adds

Adds 5,000 requests and 150 concurrent requests over the Trial tier, at $0.495/1K cost per request.

Standard

$99/mo

Ideal for

Growing teams or startups requiring 200K requests per month with 500 concurrent requests for moderate-scale scraping.

What this tier adds

Upgrades to 200K requests and 500 concurrent requests, lowering cost per 1K to $0.399.

Scale

$399/mo

Ideal for

High-volume users needing 1 million requests per month plus AI-powered browser automations for complex workflows.

What this tier adds

Adds AI-powered browser automations and 1M requests, with the lowest per-1K cost among monthly plans.

Credit Pack 10k

$20 one-time

Credit Pack 250k

$200 one-time

Credit Pack 2M

$1000 one-time

Enterprise

Custom

Ideal for

Large organizations with hundreds of millions of credits needing custom discounts, dedicated support, and enterprise-grade reliability.

What this tier adds

Custom pricing and SLAs for massive scale; no SOC2 compliance documented yet.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Going past your plan's request limit forces you to buy credit packs (e.g., $20 for 10k credits), which are valid only 6 months.
  • JavaScript rendering is forced on every request, increasing cost per scrape compared to APIs that offer plain HTML scraping at lower rates.
  • The Trial tier's low rate limits may cause timeouts or throttling if you test batch workloads, forcing an early upgrade.
  • Credit packs expire after 6 months; unused credits are lost if your usage is sporadic.

Where the pricing makes sense

The company stage and team size where Olostep's pricing actually pencils out — and where peers do it cheaper.

Olostep's pricing is competitive for low-to-moderate usage: $9/mo for 5,000 requests ($0.495/1K) beats Firecrawl's $19/mo for 4,000 credits. At scale, $399/mo for 1M requests ($0.399/1K) is cheaper than Apify's $499 for 100,000 compute units. However, forced JavaScript rendering adds hidden cost per request. The Trial tier (500 requests) is less generous than Firecrawl's 500 free credits. Top-up credit packs ($20/10K, $200/250K, $1,000/2M) offer flexibility but expire in 6 months.

Setup time & first value

How long it actually takes to get something useful out of Olostep — broken out by persona, not the marketing-page minute.

For developers: install the Python or Node.js SDK (pip/npm), grab an API key from the dashboard, and run your first scrape in under 5 minutes. The MCP Server works immediately in Claude Code or Cursor without install. CLI setup: npm i -g olostep-cli, then 'olostep scrape https://example.com'. Non-technical users may need 15-20 minutes to understand endpoints and parameters.

Switching to or from Olostep

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From Firecrawl: Olostep's API is REST-based with Python/Node SDKs—map your scrape calls to /scrapes endpoint and adjust rate limits according to your tier.
  • From Apify: Use Olostep's Batch endpoint for bulk processing; their credit system is simpler (per-request vs. compute units), which may reduce costs for structured output.
  • From manual Scrapy/Playwright: Replace your scheduler and proxy management with Olostep's managed endpoints—no need to handle IP rotation or JavaScript rendering yourself.
Migrating out
  • To Firecrawl: Firecrawl offers a similar API with 500 free credits; migrate by replacing Olostep SDK calls with Firecrawl's SDK and adjusting output formats (Olostep's Markdown vs Firecrawl's markdown).
  • To Apify: Apify's act-based system requires rewriting scrape logic as Apify actors; Olostep's batch CSV uploads can be adapted to Apify's batch processing via webhooks.
  • To manual Playwright: Olostep's managed browser can be replaced with your own Playwright scripts, but you'll need to handle proxies, IP rotation, and JavaScript rendering yourself.

Integrations

PythonNode.jscURLWebhooksMCP ServerCLIn8nZapierMake

Resources & Guides

Tutorials & Learning

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