API for Web Data and
Research Agents
Get clean data for your AI from any website and automate
your web research workflows in a no-code way
Diagonal Sections
Using the rotation transform is how you might think to do it but I think skew is the way to go!
-
Start "research YC" workflow -
Automate brand protection -
Research donors in NYC
Find local businesses -
Analyze brand visibility
· Parsers - structured data
· Data router
· Automation engine
· Click, fill forms
· Distributed infra
· Map/Crawl
· VM sandboxes
· Batches API
{
"id": "request_56is5c9gyw",
"created": 1317322740,
"result": {
"markdown_content": "# Ex", "json_content": {}
"html_content": "<DOC>"
}
}
From seed-stage to Series-B startups and scaleups
Gumloop, AthenaHQ, Openmart are backed by YC. Podqi is backed by Afore and GC
Diagonal Sections
Using the rotation transform is how you might think to do it but I think skew is the way to go!
Search the Web with AI
Crawl all the subpages
Get clean data from any URL
Build, schedule and run agents
1import requests
2
3API_URL = 'https://api.olostep.com/v1/answers'
4API_KEY = '<your_token>'
5
6headers = {
7 'Authorization': f'Bearer {API_KEY}',
8 'Content-Type': 'application/json'
9}
10
11data = {
12 "task": "What is the latest book by J.K. Rowling?",
13 "json": {
14 "book_title": "",
15 "author": "",
16 "release_date": ""
17 }
18}
19
20response = requests.post(API_URL, headers=headers, json=data)
21result = response.json()
22
23print(json.dumps(result, indent=4))1// Using native fetch API (Node.js v18+)
2const API_URL = 'https://api.olostep.com/v1/answers';
3const API_KEY = '<your_token>';
4
5fetch(API_URL, {
6 method: 'POST',
7 headers: {
8 'Authorization': `Bearer ${API_KEY}`,
9 'Content-Type': 'application/json'
10 },
11 body: JSON.stringify({
12 "task": "What is the latest book by J.K. Rowling?",
13 "json": {
14 "book_title": "",
15 "author": "",
16 "release_date": ""
17 }
18 })
19})
20 .then(response => response.json())
21 .then(result => {
22 console.log(JSON.stringify(result, null, 4));
23 })
24 .catch(error => console.error('Error:', error));1import requests
2
3API_URL = 'https://api.olostep.com/v1/crawls'
4API_KEY = '<token>'
5
6headers = {'Authorization': f'Bearer {API_KEY}'}
7data = {
8 "start_url": "https://docs.stripe.com/api",
9 "include_urls": ["/**"],
10 "max_pages": 10
11}
12
13response = requests.post(API_URL, headers=headers, json=data)
14result = response.json()
15
16print(f"Crawl ID: {result['id']}")
17print(f"URL: {result['start_url']}")1// Using native fetch API (Node.js v18+)
2const API_URL = 'https://api.olostep.com/v1/crawls';
3const API_KEY = '<token>';
4
5fetch(API_URL, {
6 method: 'POST',
7 headers: {
8 'Authorization': `Bearer ${API_KEY}`,
9 'Content-Type': 'application/json'
10 },
11 body: JSON.stringify({
12 "start_url": "https://docs.stripe.com/api",
13 "include_urls": ["/**"],
14 "max_pages": 10
15 })
16})
17.then(response => response.json())
18.then(result => {
19 console.log(`Crawl ID: ${result.id}`);
20 console.log(`URL: ${result.start_url}`);
21})
22.catch(error => console.error('Error:', error));1import requests
2
3API_URL = 'https://api.olostep.com/v1/scrapes'
4API_KEY = '<your_token>'
5
6headers = {'Authorization': f'Bearer {API_KEY}'}
7data = {"url_to_scrape": "https://github.com"}
8
9response = requests.post(API_URL, headers=headers, json=data)
10result = response.json()
11
12print(f"Scrape ID: {result['id']}")
13print(f"URL: {result['url_to_scrape']}")1// Using native fetch API (Node.js v18+)
2const API_URL = 'https://api.olostep.com/v1/scrapes';
3const API_KEY = '<your_token>';
4
5fetch(API_URL, {
6 method: 'POST',
7 headers: {
8 'Authorization': `Bearer ${API_KEY}`,
9 'Content-Type': 'application/json'
10 },
11 body: JSON.stringify({
12 "url_to_scrape": "https://github.com"
13 })
14})
15.then(response => response.json())
16.then(result => {
17 console.log(`Scrape ID: ${result.id}`);
18 console.log(`URL: ${result.url_to_scrape}`);
19})
20.catch(error => console.error('Error:', error));1import requests
2
3API_URL = 'https://api.olostep.com/v1/agents' # endpoint available to select customers
4API_KEY = '<token>'
5
6headers = {'Authorization': f'Bearer {API_KEY}', 'Content-Type': 'application/json'}
7data = {
8 "prompt": '''
9 Search every portfolio company from every fund from
10 (https://www.vcsheet.com/funds) and return the results into a google sheet
11 with the following columns (Fund Name, Fund Website
12 URL, Fund LinkedIn URL, Portfolio Company Name, Portfolio
13 Company URL, Portfolio Company LinkedIn URL). Run every week
14 on Monday at 9:00 AM. Send an email to steve@example.com when
15 new portfolio companies are added to any of these funds.
16 ''',
17 "model": "gpt-4.1"
18}
19
20response = requests.post(API_URL, headers=headers, json=data)
21result = response.json()
22
23print(f"Agent ID: {result['id']}")
24print(f"Status: {result['status']}")
25# You can then schedule this agent1// Using native fetch API (Node.js v18+)
2const API_URL = 'https://api.olostep.com/v1/agents'; // endpoint available to select customers
3const API_KEY = '<token>';
4
5fetch(API_URL, {
6 method: 'POST',
7 headers: {
8 'Authorization': `Bearer ${API_KEY}`,
9 'Content-Type': 'application/json'
10 },
11 body: JSON.stringify({
12 "prompt": `
13 Search every portfolio company from every fund from
14 (https://www.vcsheet.com/funds) and return the results into a google sheet
15 with the following columns (Fund Name, Fund Website
16 URL, Fund LinkedIn URL, Portfolio Company Name, Portfolio
17 Company URL, Portfolio Company LinkedIn URL). Run every week
18 on Monday at 9:00 AM. Send an email to steve@example.com when
19 new portfolio companies are added to any of these funds.
20 `,
21 "model": "gpt-4.1"
22 })
23})
24 .then(response => response.json())
25 .then(result => {
26 console.log(`Agent ID: ${result.id}`);
27 console.log(`Status: ${result.status}`);
28 // You can then schedule this agent
29 })
30 .catch(error => console.error('Error:', error));Get the data in the format you want
Get Markdown, HTML, PDF or Structured JSON
Pass the URL to the API and retrieve the HTML, Markdown, PDF, or plain text of the website. You can also specify the schema to only get the structured, clean JSON data you want
JS execution + residential ipS
Web-pages rendered in a browser
Full JS support is the norm for every request, as well as premium residential IP addresses and proxies rotation to avoid all bot detection
Crawl
Get all the data from a single URL
Multi-depth crawling enables you to get clean markdown from all the subpages of a website. Works also without a sitemap (e.g. useful for doc websites).
batch executions
Scale at another level
With Batch Executions, you can scrape 100k pages in around 5-7 minutes. You can then run up to 5 threads of Batch Executions and get 500k scrapes in the same amount of time. That's 1 million requests in around 15 minutes.
Pricing that Makes Sense
Start for free. Scale with no worries.
We want you to be able to build a business on top of Olostep
Top-ups
Need flexibility or have spiky usage? You can buy as many credits pack as you want. They are valid for 6 months.
Credit pack
Credit pack
Credit pack
A minimum $9/month subscription is required. Credits are added on top of your base plan
Data for every industry
Deep research agents
Enable your agent to conduct deep research on large Web datasets.
Spreadsheet enrichment
Get real-time web data to enrich your spreadsheets and analyze data.
Lead generation
Research, enrich, validate and analyze leads. Enhance your sales data
Vertical AI search
Build industry specific search engines to turn data into an actionable resource.
AI Brand visibility
Monitor brands to help improve their AI visibility (Answer Engine Optimization).
Agentic Web automations
Enable AI Agents to automate tasks on the Web: fill forms, click on buttons, etc.
Search Stackoverflow, coding docs, and Github repos. Get access to a model specifically trained on high-accuracy code referencing.
Frequently asked questions
Have other questions? Get in touch via info@olostep.com
Olostep is the Web Data API for AI and Research Agents.
The Olostep API is the best web search, scraping and crawling API for AI used by some of the leading startups in the world.
The Olostep Agent allows anyone to automate research workflows and build data pipelines in a no code way with just a prompt in natural language
1 request is counted as one webpage/pdf. We don't charge you additionally for GB or for proxies and all those costs are included in the cost per request.
We don't charge for failed requests. If you are using the answer endpoint or an endpoint that needs to make LLM calls we will pass down those costs to you but on our end we only charge for successful requests. We are building and improving fallback systems to retry failed requests internally and return the results
You can access and interact with any website that is publicly accessible. If you are building AI automations and your agent needs to pass cookies or login, get in touch at info@olostep.com
Yes, the API can scale to billions of requests per month
You can pay using the Stripe Payment Links.
Because it's reliable (99.5%), cost-effective (up to 70% cheaper), scalable, and flexible to be compatible with your existing workflows and backend. You can request the features you need and we will try to build them for you. Plus you can test it for free to see if it fits your need. Get your free API keys from here.
Yes, plans are pro-rated, meaning if you've already paid for a previous plan, the remaining credits will be transferred to your next plan. You won't have to pay again for what you've already covered.
Olostep is free for the first 500 requests. Then we have plans that start from $9/month for 5000 credits per month. Just click on the "Get free API keys" to start for free. We'll also help you get up and running so you can test the product until you love it.
We’re fully committed to building products that you love. If for whatever reason you’re unsatisfied with the Olostep API, please email us at info@olostep.com to receive a full refund within a few hours. We'll also refund you if it doesn't turn out being useful. If you decide to use it but only after a certain period of time, we'll refund the time you don't use it.
The API returns the id of the request (for future retrievals), the Markdown and the HTML of the page. You can also retrieve JSON with specific parsers or structured data with LLM extraction. If you are using the /answers endpoint as the search basis for your AI it will return an answer, a json in the schema you have defined and the sources Olostep has searched.
Reach out to us at info@olostep.com or contact our sales team https://www.olostep.com/contact-sales with your use case and we can take a look. Our aim with the Olostep Agent is to be able to automate any business data pipeline and research workflow on the Web so we will do our best to assist your use case.
Olostep is especially useful for AI startups that rely on Web data to power or improve their services or for companies that need to enrich data, monitor websites changes, analyze historical web data and equip their AIs with web search capabilities to ground them on real world data and facts. Olostep can also be used by developers, AI engineers, data scientists, and researchers looking to use web data for market research, LLM-finetuning, and more. Olostep returns clean, structured data in one single API so that it's compatible with existing backend.
Yes, Olostep lets you extract data using natural language prompts. If you know the exact URL containing your data, use the /scrapes endpoint with llm_extract and describe what you want to extract. For more complex tasks like searching for data, navigating between pages, handling pagination, or validating results, use the /agents endpoint that automatically finds and extracts data based on your prompt.
