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Web scraping

Olostep ✓

Get clean web data for AI in seconds

Source rating 3.8 (4) 1.6k views 17 saves 1 comments Free Trial
Agent API Best Web Crawling API
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Best Web Scraping API Crawling API Data Extraction Web scraping
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Trial; then from $9/mo

Verdict

A quick read before you dig into the full page.

Best if
Get clean web data for AI in seconds
Skip if
Limited website compatibility
Pick this when
Cost-effective Web Scraping API

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Overview

Olostep is a reliable and cost-effective Web Scraping API designed to gather data from any website quickly and efficiently.

It is ideal for obtaining clean data for AI applications in the format they want (html, markdown, raw pdf, text ot structured JSON in the schema user prefer)


Olostep is considered the best Web Scraping API by some of the fastest growing AI startups in the world.

You can try it for free with a 1000 successful scrapes. Then plans start from $9/month for 5000 scrapes/month.

Olostep also fosters customization and adaptability with ready-made Parsers to derive structured data from popular websites, such as Brave search results, Reddit, Instagram, Amazon products, Google Maps, and more.

Users can also build their own parsers to make any website into an API and extract the data they want
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Olostep website

Access & connections

Where you can use Olostep, and what it plugs into.

Platforms

Web

Integrations

Instagram Reddit Make MCP

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Text

Output

  • Tabular
  • API
  • Text

Highlights

  • Agents
  • MCP
  • Local
  • Use code TAAFT
  • 10% OFF

Supported features

  • Agents
  • MCP
  • Runs Locally
  • Crawling & Scrapping

Pros & cons

Pros

  • Cost-effective Web Scraping API
  • Quick efficient data acquisition
  • Developer-centric API
  • Supports concurrent requests
  • Customizable Parsers
  • Supports Python and Node.js
  • Clean data transformation
  • High volume batch processing
Show 42 more
  • Ready-made Parsers for popular sites
  • Transforms data to Markdown format
  • Community channels
  • Handles specific URL scraping
  • Website subpage crawling
  • Scrapes Brave searches data
  • Scrapes Reddit data
  • Scrapes Instagram data
  • Scrapes Amazon product data
  • Scrapes Google Maps data
  • Supports adaptation
  • Affordable pricing
  • Reliable service
  • Fast data extraction
  • Handles pdf parsing
  • Multi-depth crawling
  • Premium proxies usage
  • Rotating proxies
  • Solving CAPTCHAs capability
  • JS executed requests
  • Crawls without sitemap
  • Batched executions
  • Extracts structured JSON data
  • Capable of JS rendering
  • Copes with rate limits
  • Fast scraping scale
  • Offers custom discounts
  • Can parse docx content
  • Offers refunds policy
  • Data enriched output
  • Data markdown format results
  • Return id for future retrievals
  • Possible retry for failed requests
  • Includes interactive actions before extraction
  • Option for HTML result format
  • Concurrent batch thread executions
  • Supports multi-depth website crawling
  • Offers free API testing keys
  • Has fallback systems for failures
  • Credits packs for extra flexibility
  • Transparent Practices
  • Pro-rated plan switch policy

Cons

  • Invite code required
  • Limited programming language support
  • Markdown output only
  • Limited website compatibility
  • No mobile compatibility
  • Fixed endpoint structure
  • Pre-built Parsers limitation
  • No real-time scraping
Show 2 more
  • No on-premises version
  • Access via API only

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Releases 1

Initial release September 8, 2025 Current
Initial release of Olostep.

Imported reviews 1

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Hamza Ali Sep 10, 2025 v@ initial release

I use Olostep to gather data from millions of e-commerce pages for my AI shopping assistant service and it's the most cost-effective and reliable product on the market

FAQ 12

What is Olostep and how does it work?
Olostep is a highly efficient Web Scraping API designed to gather and process data from various websites in a swift manner. It enables the extraction of clean data which is crucial for the development of AI technologies. With its developer-centric API, users have the capability to perform different operations including scraping specific URLs, crawling all subpages on a particular website, and processing large batches of URLs concurrently. To cater to unique project needs and promote adaptability, Olostep provides pre-built Parsers for structuring data from popular platforms and also allows users to create their own Parsers. The tool supports Python and Node.js and maintains a stringent focus on data quality by transforming extracted data into a clean Markdown format.
What makes Olostep cost-effective for web scraping?
Olostep is cost-effective for web scraping due to its ability to perform concurrent requests and process high-volume data, reducing the need for additional scraping resources. Olostep supports efficient operations by catering to specific URL scraping, entire website crawling, and batch processing of up to 100,000 URLs. Moreover, it provides pre-configured Parsers for popular websites like Brave, Reddit, and Instagram, among others, eliminating the need for users to code these complex extractors from scratch.
How can Olostep be used to scrape data from a specific URL?
To scrape data from a specific URL using Olostep, users employ the '/scrapes' endpoint of its developer-centric API. Using Python or Node.js, a request code can be written where the 'url_to_scrape' is specified. The request is sent to Olostep API for processing, and the clean, structured data from that URL is returned as a response.
What is the process of crawling all subpages on a website using Olostep?
To crawl all the subpages on a website using Olostep, users interact with the '/crawls' endpoint of the provided API. In the request code, users are required to specify the 'start_url' (the main website URL). They can also set 'max_pages', dictating the maximum number of pages intended for the crawl. This process can efficiently scrape all the subpages related to that particular website, thereby providing a thorough data extraction.
What is unique about the Parsers provided by Olostep?
The Parsers provided by Olostep are unique as they are readily available for creating structured data from a variety of popular websites, making data extraction from these sources significantly easier. Prebuilt Parsers are available for platforms like Brave search results, Reddit, Instagram, Amazon, and Google Maps. Also, in order to cater to unique extraction requirements, Olostep allows users to build their own Parsers.
How does Olostep handle high volume data scraping?
Olostep manages high-volume data scraping via its 'batches' service, where users can process up to 100,000 URLs concurrently. By sending a POST request to the '/batches' endpoint of the API with a list of URLs included under 'items', Olostep can execute mass data extraction within minutes, making it a highly efficient tool for large-scale scraping tasks.
In what ways does Olostep support Python and Node.js?
Olostep supports Python and Node.js by providing its API functionality and scraping service compatible with these languages. Users can import necessary libraries and write request codes in Python or Node.js to interact with the Olostep's endpoints. This flexibility lets developers use their preferred programming language when working with Olostep's Web Scraping API.
How does Olostep ensure the quality of extracted data?
Olostep ensures the quality of extracted data by transforming it into a clean Markdown format. This standard text formatting syntax is well-regarded for its readability and ease of use, helping users consume and process the scraped data more efficiently. It aids in removing unnecessary tags, characters, or clutter, ensuring that the final output is clean, structured, and ready for further analysis or usage.
What kind of data can I get from popular websites like Amazon, Reddit, Instagram using Olostep?
Olostep provides data from popular websites such as Amazon, Reddit and Instagram through specially designed Parsers. When used, these Parsers enable extraction of varied data such as search results, suggested queries, user posts, comments, upvotes, user info from reddit; user details, follower counts, post metrics from Instagram; and product details, pricing, specifications, reviews from Amazon listings. This makes Olostep a versatile tool when working with different websites.
What is the function of the 'Markdown' format in Olostep?
The Markdown format in Olostep functions as a tool for presenting the scraped data in a clean and readable form. The use of markdown syntax is prominent in removing any intact HTML tags, additional characters or elements, ensuring the high quality and structure of the final scraped data. This streamlined Markdown data assists in the hassle-free processing or analysis of the collected information.
How reliable and efficient is Olostep for web scraping?
Olostep is built to be reliable and efficient for web scraping. It is capable of fulfilling numerous requests concurrently, supporting high-volume scraping operations effectively. In addition, Olostep's built-in fallback mechanisms and premium residential IP addresses help evade bot detection, further enhancing the reliability of the service. Olostep can perform parallel operations processing up to 100,000 requests swiftly, making it extremely efficient for large scale data retrieval.
What is the procedure of customizing scraping in Olostep?
The procedure of customizing scraping in Olostep involves creating your own parser. Users can write unique Parsers to gather structured data based on their project-specific needs for websites not already covered by the pre-built parsers. This feature enhances the flexibility of Olostep by allowing customization in data extraction according to user requirements.
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