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Olostep

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September 8, 2025

Rank #2921

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Olostep

Web scraping

844

3.8(4)1

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Overview Discussion 1

Overview

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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

Key Features

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OlostepInitial

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Initial release

September 8, 2025

Hamza Ali

wrote:

Initial release of Olostep.

Hamza Ali

@hamza-ali-4e09t

www.olostep.com

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1 tool

7karma

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Joined: September 2025

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$9/month

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Web scraping Olostep

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🇨🇭 Switzerland

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Reviews

3.8

Average from 4 ratings.

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Comments(1)

Hamza Ali

🛠️ 1 tool 🙏 7 karma

Sep 10, 2025

@ initial release

Rated it

@Olostep

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

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Pros and 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

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

View 45 more pros

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

No on-premises version

Access via API only

View 5 more cons

Q&A

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.

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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.

Can I scrape Google Maps data using Olostep?

Yes, Olostep provides a distinct Parser meant for scraping data from Google Maps. By using the '@olostep/gmaps-place' parser, users can extract business information, reviews, and location details from Google Maps, making it very beneficial for location-based data aggregation.

What are the languages and tools I can use to interact with Olostep?

The languages and tools that can be used to interact with Olostep include Python and Node.js. User interaction with Olostep occurs via its developer-friendly API, which includes different endpoints for conducting various service tiers such as scraping data from a URL, crawling all subpages on a website, or processing batches of URLs.

Does Olostep have plans for free use?

Yes, Olostep does provide a free usage tier. Using this free tier, users can obtain API keys and gain access to 1000 scrapes. However, users are required to get an invitation code to sign up and use this service. The get started for free option is clearly indicated in their pricing plan, making Olostep accessible for preliminary usage and evaluation.

Can Olostep handle concurrent request operations?

Yes, Olostep can handle concurrent request operations. The API has the capacity to parallelize numerous requests, facilitating simultaneous data scraping actions. Whether it's scraping a specific URL, crawling all subpages of a website, or batch processing for up to 100,000 URLs, Olostep enables efficient concurrent operations resulting in rapid data extraction.

In what scenarios is Olostep a good choice for website data extraction?

Olostep is an optimal choice for website data extraction in scenarios where users need clean, processed, and structured data quickly from multiple websites. It is particularly useful for AI development projects, as the created parsers ensure clean, structured data. Due to its large-scale batch processing abilities, Olostep is ideal for situations requiring extensive data extraction. The tool's customization abilities also make it versatile in handling unique project requirements.

How efficient is Olostep in mass data scraping (up to 100k URLs)?

Olostep is highly efficient in large-scale data scraping operations, capable of processing up to 100,000 URLs in a single batch. Users need to make a POST request to the '/batches' endpoint of the API, providing a list of URLs to be scraped. Olostep takes up this task concurrently, enabling the scraping of the high volume of websites within just 5-7 minutes.

How do I create my own Parser using Olostep?

To create a unique Parser in Olostep, users can utilize the customizable feature of the Olostep's API. Although the specifics on how to build this are not available on their website, it's likely a matter of defining unique parameters and settings that relate to the structure of the particular webpage you are looking to scrape, thereby personalizing how the data is extracted and structured from that site.

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