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Olostep vs Riveter

Web Scraping

Olostep
Olostep
100
VS
Riveter
85
Riveter
Metric Olostep Riveter
Category Web Scraping Web Scraping
Pricing Freemium Freemium
Auth API Key API Key
Format JSON JSON
Bot Blocking None None
OpenAPI Spec Yes No
Credit Card Not required Not required
Rate Limit 5 RPM (free), 150-500 concurrent (paid) Not publicly documented
Score Component Olostep Riveter
Base +50 +50
OpenAPI Spec +15 (Yes) 0 (No)
Auth +10 (API Key) +10 (API Key)
Format +10 (JSON) +10 (JSON)
Bot Blocking +10 (None) +10 (None)
No CC +5 (Yes) +5 (Yes)
Free 0 (No) 0 (No)
Total 100 85
Olostep Riveter
Pros
  • + Returns clean markdown/JSON natively — no HTML parsing needed by agents
  • + Official Python & Node SDKs plus MCP server for direct agent integration
  • + Comprehensive OpenAPI specs per endpoint group enabling auto-tooling
  • + Single API replaces search + scraper + proxy + browser infra — agents make one call instead of orchestrating multiple tools
  • + Prompt-based config with structured output (custom enums, date formats, JSON schemas) means agents get predictable, typed responses
  • + Handles PDFs, images, and multi-page navigation autonomously — agents don't need separate tools for different content types
Cons
  • - Free tier limited to 500 requests/month — tight for production agent workloads
  • - Rate limit docs are vague; concurrency limits vary by plan but exact RPM not clearly published
  • - No official Python or JS SDK and no public OpenAPI spec — agents must use raw HTTP and can't auto-generate tool definitions
  • - Rate limits and detailed paid pricing not publicly documented, making it hard to plan agent workload capacity
Badges
OpenAPI SpecAPI KeyFreemiumJSONBot Blocking: NoneNo CCweb-scrapingsearchcrawlingmarkdown-outputbatch-processingai-optimized
API KeyFreemiumJSONBot Blocking: NoneNo CCweb-scrapingsearchstructured-datadata-enrichmentai-agentspdf-extractionbatch-processing

Olostep Integration

example.py
from olostep import Olostep
client = Olostep(api_key="your-api-key")result = client.scrapes.create(    url_to_scrape="https://example.com",    formats=["markdown"])print(result.result.markdown_content)

Riveter Integration

example.py
import requests
response = requests.post(    "https://api.riveterhq.com/v1/search",    headers={        "Authorization": "Bearer YOUR_API_KEY",        "Content-Type": "application/json"    },    json={        "prompt": "Find the CEO and founding year",        "query": "Acme Corp",        "output_schema": {            "ceo": "string",            "founded": "integer"        }    })print(response.json())