
Overall Score
10
of AI companies
Olostep is a reliable and cost-effective Web Scraping API designed to gather data from any website quickly and efficiently. It is ideal fo
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 con...

Overall Score
10
of AI companies
Overall Score
10
GitHub Stars
—
Monthly Visits
16K
Community Rating
3.8
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 con...
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Launched on Product Hunt
Referral growth vs previous period
| Keyword | Volume / Mo | CPC |
|---|---|---|
| olostep | 860 | — |
| can you directly scrape a google shopping page | 190 | — |
| how to avoid captcha checks when scraping nodejs | 110 | — |
| olostep careers | 100 | — |
| oloostep | 60 | — |
Pricing that Makes Sense
Free
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 con...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Launched on Product Hunt
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
Referral growth vs previous period
| Keyword | Volume / Mo | CPC |
|---|---|---|
| olostep | 860 | — |
| can you directly scrape a google shopping page | 190 | — |
| how to avoid captcha checks when scraping nodejs | 110 | — |
| olostep careers | 100 | — |
| oloostep | 60 | — |
44.9K
Rating
3.8
4 reviews
Views
1.5K
Category
Web scraping
Pros · 50
Cons · 10
Rating distribution
User reviews · 1
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
Supported features
Release history · 1+
Initial release of Olostep.
Q&A · 21
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.
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.
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.
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.
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.
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Top 10 in Search & Research.
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