Batch Scraping API: Enterprise High-Throughput Web Extraction
Process thousands of URLs concurrently with automated queue management, retry handling, rate limiting, and webhook notifications for large-scale data pipelines.
Overview & Architectural Foundation
Process thousands of web scraping, crawling, and screenshot requests in parallel. Designed for enterprise data pipelines, LLM fine-tuning datasets, and market intelligence.
The Batch API orchestrates distributed job queues backed by Redis and Celery. Jobs are broken into parallel work chunks, dispatched across our browser fleet, load-balanced across rotating proxy pools, and aggregated upon completion with detailed telemetry per URL.
Core Capabilities & Developer Features
Massive Concurrency
Execute up to 500 parallel browser sessions simultaneously to scrape tens of thousands of URLs per hour.
Automated Failure Retries & Backoff
Failed requests due to anti-bot challenges or server timeouts are automatically retried through alternate proxy pools.
Flexible Results Delivery
Receive batch results via streaming webhook callbacks, S3-compatible cloud storage uploads, or a unified ZIP archive.
Cost-Effective High Volume
Volume-discounted rates with dedicated concurrency allocations for enterprise workloads.
Architecture & Pipeline Execution Lifecycle
When integrating web scraping and crawling operations into production workflows, data integrity, anti-bot resilience, and predictable latency are paramount. GcrawlAI processes incoming extraction requests through an intelligent gateway that evaluates target domain security profiles, selects appropriate proxy routing topologies (datacenter, residential, or mobile), and assigns requests to isolated headless Chromium instances.
During page execution, dynamic DOM trees are rendered, client-side JavaScript challenges are solved autonomously, and layout hydration events are monitored. The resulting rendered HTML is passed through semantic sanitization heuristics that strip non-content elements, boilerplate navigation menus, cookie consent banners, and tracking scripts while strictly preserving structural headings, tabular data, code snippets, and canonical links.
For AI and LLM workflows, the sanitized document is converted into token-efficient Markdown or validated against your custom JSON Schema before being returned to your client application, ensuring that downstream vector embeddings and language model reasoning receive high-density factual context without noise.
Enterprise Reliability, Rate Limiting & Webhook Integration
GcrawlAI provides battle-tested infrastructure built for high concurrency and enterprise throughput. With automated proxy rotation, intelligent failure retries, and comprehensive telemetry across every endpoint, your engineering team can focus on building intelligent applications rather than maintaining fragile scraping scripts.
Production data ingestion pipelines require high throughput and robust error resilience. GcrawlAI APIs support both synchronous request-response patterns for low-latency interactive workflows and asynchronous batch processing for multi-thousand URL workloads. Automated exponential backoff with jitter is applied to transient network errors or rate-limited endpoints, ensuring maximum completion rates.
When executing large-scale crawl or batch jobs, real-time webhooks provide milestone progress updates and post-completion payloads directly to your ingestion endpoints or cloud storage buckets. All responses adhere to standardized schemas with transparent HTTP status codes, structured error payloads, and full execution metadata including render timings, proxy geography, and token metrics.
Frequently Asked Questions
What is the maximum number of URLs in a single batch job?
Standard batch requests accept up to 10,000 URLs per job. Enterprise accounts can submit batch jobs containing over 1,000,000 URLs.
How do I track batch job progress?
You can poll the batch status endpoint for real-time completed/failed counts, or register a webhook to receive updates at milestone percentages.
What happens if a URL fails during a batch run?
GcrawlAI retries failed URLs up to 3 times across different residential IP subnets before recording an error status, ensuring maximum success rates.