Turn webpages into LLM-ready data at scale with a simple API call
Turn webpages into LLM-ready data at scale with a simple API call
Automatic data collection on up to 10K URLs. Schedule large-scale scraping projects without writing a single line of code.
DataPipeline enables you to scale data collection without building and maintaining complex scraping infrastructures. We handle the engineering resources so you can focus on analyzing the data. Get the right information, and move the needle where it matters.
Manage large data extraction projects with a few clicks:
Access all these features with near-zero development time.
Use our Structured Data Endpoints and retrieve well-structured JSON data without any extra steps.
And so much more. No matter your use case, you will have complete control over how and where to get your data.
You don’t need to change how you do things. Integrate ScraperAPI to your scrapers with a simple API call.
Access all ScraperAPI’s tools from a single account. Use them together or separately, and stay always in control
Integrate ScraperAPI to your existing infrastructure to improve the performance of your scrapers, achieve higher success rates, and increase scraping speed. |
Automate your entire data pipeline at scale without writing a single line of code. Save on maintaining costly coding infrastructures and managing complex scrapers. |
Handle millions of requests at a near 100% success rate with a simple Post() request. Scale your data collection for even the toughest domains. |
Need a solution to collect data at an enterprise level? Integrate DataPipeline with any system and workflow you already use. Manage and schedule large projects with a simple-to-use interface.
Grow your freelance business without investing in more resources. DataPipeline’s quality and speed will help you manage larger projects from a single centralized application.
Get the right data for your research project without building complex data collection infrastructure. Scrape up to 10K pages in one project.
Get insights on competitors’ tactics without spending a fortune on a big SaaS tech stack. Extract unique insights at a glance and work out your plan for market domination.
Automating scraping website data is easy with ScraperAPI’s DataPipeline. Here’s how:
Once the website scraping project is done, the data will be readily available in your chosen output location.
Setting up and launching a project with DataPipeline’s visual interface is simple. You don’t need to be a developer or data analyst to use it.
However, you will need to have some idea of how you’re going to process your data once you get it.
Not sure where to start? Read our guide on what is data parsing to learn the basics.
DataPipeline returns structured JSON or CSV data when using any of our structured data endpoints (currently available for Amazon, Walmart, and Google domains). For other URLs, you’ll get ready-for-parsing HTML data.
DataPipeline can collect data from up to 10,000 URLs per project, securing a near 100% success rate on any domain. You can also choose a ready-to-use solution for more in-demand domains and receive the data in structured JSON format.
We’re currently supporting:
*More structured endpoints to come.
While both ScraperAPI and ScrapingBee offer automated web scraping scheduling, ScraperAPI is a more robust and cost-effective solution. Here’s why:
Learn more about ScraperAPI vs. ScrapingBee data scraping tools.
ScraperAPI pricing is designed to be affordable for businesses of all sizes, making us a cost-effective web page scraper solution compared to other providers.
Here’s a breakdown of the savings you can achieve with ScraperAPI:
ScraperAPI vs. Zyte: transparent pricing based on each successful request, regardless of website complexity.
Talk to an expert and learn how to build a scalable scraping solution.
