Olostep

August 6, 2024 6 sansui

Site Name: Olostep

Category: Data Extraction

Website Link：https://www.olostep.com/

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Website Description

Overview

AI-powered web crawling and scraping for structured data extraction.

Olostep is a web data API that searches, crawls, and scrapes websites to deliver structured JSON, HTML, or Markdown outputs for developers and data teams.It offers pre-built parsers and templates to extract emails, social links, calendars, search results, Reddit posts, and Instagram profile metrics for lead generation and research.

Agents and an automation engine enable scheduled workflows, form interactions, and large-scale batch processing to route data to downstream systems like spreadsheets or analytics pipelines.Distributed crawling with sandboxed VMs supports dynamic content, screenshots, and content normalization for handling complex sites.

Developer-friendly REST endpoints and code examples for Python and Node.js simplify integration into research, brand protection, competitive intelligence, and enrichment workflows.Outputs include configurable parsers, batch APIs, and a playground for testing, all aimed at converting unstructured web content into structured datasets for analysis and automation.

Olostep screenshot

Use Cases

Build scalable lead lists and contact databases by extracting emails and social profile metrics at scale with Olostep’s email extraction API and batch crawls, automatically enriching, deduplicating and exporting clean JSON/CSV for your CRM or outreach tools.
Continuously monitor competitor sites, product pages and dynamic JavaScript content with scheduled agents and rendered screenshots from Olostep, capturing change history as structured HTML/Markdown and triggering alerts or Slack notifications for rapid competitive intelligence.
Automate large-scale web research and content pipelines using Olostep’s distributed crawling service and configurable parsers to output normalized JSON/Markdown for ML training, SEO audits or content teams, integrating enrichment APIs and batch processing to speed up analysis.