Olostep

Olostep is the web search, scraping and crawling API used by AI Agents and top AI companies.

Get clean data for your AI from any website and automate work

[Olostep @olostep]

One API to automate Web Data!

/scrape, /crawl, /search, /batch, /parser and more...

Build better agentic apps with latest web data using Olostep

[Olostep @olostep]

We are building the infrastructure at Olostep so AI agents can actually use the web.

The web was built around humans as the operator.

Search returns links for a human to click, read, compare, and decide.

AI agents need something different.

They need to search across the web, extract relevant content directly from pages, and return structured data that works with CRMs, databases, knowledge graphs, RAG pipelines, and downstream reasoning systems.

That is why search for AI is not just search.

It is search + extraction + structured output and more.

https://t.co/DeEDwUVzVp

[Olostep @olostep]

Bots just passed humans in web traffic for the first time ever. 57.5% vs 42.5%.

This is driven by the rise of AI Agents. And it's the world we built Olostep for.

AI agents need to search, extract, and structure web data to automate tasks across industries. And they need new infrastructure to do it.

Olostep is building it.

To start, we've shipped a suite of web data APIs — Scrape, Batch, Crawl, Search, Agents, and Monitor — built to search, extract, and structure web data with high reliability, scale, and cost-efficiency.

[Olostep @olostep]

https://t.co/1okAyiHRJj

[Olostep @olostep]

You don’t need another scraper.

You need a web data pipeline.

Olostep lets you search, scrape, crawl, run batches, schedule tasks, and extract structured data with parsers.

- Use markdown for context.
- Use JSON when the schema matters.
- Use monitors when the data needs to stay updated.

Built for AI agents, enrichment, research and production web data workflows.

[Olostep @olostep]

@yourclouddude 🔥

[Olostep @olostep]

Monitor pages on a schedule and get alerts when something changes.

Olostep '/v1/monitors' endpoint let you create persistent checks from a natural language query.

You can configure:
- natural language schedules
- full page snapshots per run
- delta tracking when specified in the query
- structured JSON output with output_schema
- alerts through email, webhook, or SMS
- pause, resume, update, and delete APIs

Useful for uptime pages, pricing changes, product reviews, rental listings, terms updates, and recurring web monitoring workflows.

https://t.co/FFWknIzRem

[Olostep @olostep]

@samyakjain963 🙌

[Olostep @olostep]

The new Olostep landing page is live.

Built to power the Web's second user, Olostep is the best web search, scraping and crawling API for AI.

Over the next few days, we'll break it down section by section — every endpoint, the pricing model, and how to get the most out of it.

Check it out and share your feedback.

[Olostep @olostep]

@Arindam_1729 @NVIDIAAI You can add websearch (using our Answers API) to help your advocate 👀

[Olostep @olostep]

@claudeai Coding powerhouse 🔥

[Olostep @olostep]

Track prices for millions of product with Olostep.

Set up recurring scraping tasks, run them every few hours, and extract only the fields your workflow needs.

Olostep supports:

- price monitoring at large scale
- scheduled runs at regular intervals
- JSON, HTML, and markdown outputs
- custom parsers for relevant structured data
- async batch processing for large URL lists

Useful for competitor tracking, marketplace monitoring, availability checks, and pricing intelligence pipelines.

https://t.co/4o98sSgniC

[Olostep @olostep]

Extract structured data from any Google Maps location with our API.

Just set the `@olostep/google-maps` parser and get clean JSON including:

- Business details (name, address, phone, website)
- Reviews, ratings, and distribution
- Opening hours and categories
- Images and pricing info
- Related places and tags

Using the Google Maps parser with Olostep’s API allows you to extract structured location data, ready to plug into your apps or use for analysis.

https://t.co/S6FZraGos4

[Olostep @olostep]

If a workflow runs daily or weekly, it should not depend on someone remembering to click refresh.

Olostep schedules support:

- one-time runs
- cron expressions
- natural language scheduling

Useful for monitoring, enrichment, recurring research, and alerts.

[Olostep @olostep]

https://t.co/V07xcusZcp

[Olostep @olostep]

https://t.co/E0PEJqfiqM

[Olostep @olostep]

We built Olostep Agent for teams that need web data pipelines, not one-off scraping scripts.

Schedule a task.

It can browse sites, extract structured data, handle dynamic pages, track changes, and send results to your stack.

Useful for workflows where the source is messy, the schema matters, and the data needs to stay updated.

[Hamza Ali @hmz_ali7]

AI agents don't have the infrastructure to deal with a web that never stops changing.

Prices shift. Competitors ship. Regulations move.

Existing tools read the web once. Catching what changed means re-running them and figuring out the delta yourself — every time

We're fixing that with the Olostep Monitors API today.

Describe what you want to watch in plain English → agent shows the workflow → runs on schedule → pings you via email, webhook, or SMS when something changes.

We built this by working closely with the AI-native teams already using it for competitor tracking, pricing, sentiment, and rental scoring.

Try it out for free

Docs and links in the comment below

[Olostep @olostep]

Extract structured data from any Google Maps location with our API.

Just set the `@olostep/google-maps` parser and get clean JSON including:

- Business details (name, address, phone, website)
- Reviews, ratings, and distribution
- Opening hours and categories
- Images and pricing info
- Related places and tags

Using the Google Maps parser with Olostep’s API allows you to extract structured location data, ready to plug into your apps or use for analysis.

https://t.co/S6FZraGos4