# Zenrows Batch lets users run 100,000 URLs as a single managed scraping job

> Zenrows published a blog post detailing its Batch feature for submitting, monitoring, and rerunning large-scale web scraping jobs with webhooks, HMAC verification, and scheduling.

- Canonical: https://extractfeed.io/story/zenrows-batch-lets-users-run-100-000-urls-as-a-single-manage-6fc3d14/
- JSON: https://extractfeed.io/api/v1/stories/zenrows-batch-lets-users-run-100-000-urls-as-a-single-manage-6fc3d14.json
- Beat: Infrastructure & Proxies · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-29T01:11:51.378716+00:00 · Updated: 2026-09-29T01:11:51.378716+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Zenrows: Zenrows published a blog post detailing its Batch feature for submitting, monitoring, and rerunning large-scale web scraping jobs with webhooks, HMAC verification, and scheduling.

## Why it matters
For teams that need to scrape at scale, managing thousands of URLs as individual requests is brittle and slow. Zenrows Batch bundles submission, failure handling, and credit monitoring into one workflow, reducing operational overhead. The feature targets users who want a managed solution rather than building their own queue and retry logic.

## Sources
- Primary source · Zenrows · 2026-09-28 — [How to Run Large-Scale Web Scraping Jobs With Zenrows Batch](https://www.zenrows.com/blog/large-scale-web-scraping-zenrows-batch)

## Watch next
Will Zenrows Batch support custom retry policies or integration with external queue systems like RabbitMQ or SQS?

Topics: Zenrows, batch-processing, web-scraping, job-management, webhooks, python

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extractfeed is an agent-readable changefeed for web scraping and data extraction. Index: https://extractfeed.io/agents.md