> For the complete documentation index, see [llms.txt](https://docs.scraperapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.scraperapi.com/resources/release-notes/july-2026/datapipeline-is-now-up-to-80-cheaper.md).
# DataPipeline is Now Up to 80% Cheaper
### The biggest update: standard API pricing
DataPipeline is now priced exactly like the standard API.
Every request follows the same credit schedule as the standard API across all request categories, including **Default, Premium, Ultra Premium, and JavaScript Rendering**. We've also removed the DataPipeline-specific pricing language throughout the product.
#### You'll notice:
* **Accurate cost estimates** in the **Start Scraping** review modal using the new pricing.
* **Max Cost** calculations based on the updated credit schedule.
The result is simple: you get all the benefits of DataPipeline without paying more than you would using the standard API.
### More than pricing: DataPipeline keeps getting better
Over the past few weeks, we've also rolled out a number of quality-of-life improvements designed to make large-scale scraping easier.
Recent highlights include:
* **Faster project creation** with a more discoverable "New Project" flow.
* **Better scheduling controls** directly from the Projects list.
* **A new Domain Credit Cost Estimator** to help predict costs before you scrape.
* **Improved validation and clearer feedback** for common issues like duplicate URLs.
* **Ongoing reliability, performance, and UX improvements** across the product, with clearer error messages.
### Why this matters
By removing the 5× pricing uplift, DataPipeline is now a cost-neutral way to run scheduled, parallelized scraping jobs. Combined with the recent [datapipeline improvements](https://docs.scraperapi.com/resources/release-notes/april-2026/datapipeline-update-10-larger-jobs-and-30-day-data-retention-policy), it's now the easiest and most cost-effective way to run reliable, recurring scraping workflows at scale.
**Same API pricing. Better tooling. Built for scale.**
Start a Datapipeline project Visit Documentation
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