TL;DR
- Batch crawling is a queue, checkpoint, and validation problem before it is a concurrency problem.
- Nstdata Crawl supplies discovery, JavaScript rendering, and several output formats when you need to process a reviewed list of URLs with bounded concurrency, checkpoints, and per-page quality checks.
- The standard API request for batch web scraping uses
x-api-keyrather than separately configured proxy Host, Port, Username, or Password. - For this task, the working outcome is to process a reviewed list of URLs with bounded concurrency, checkpoints, and per-page quality checks.
- Validate every batch web scraping result because an accepted API request can still contain failed or incomplete page content.
Process web pages at scaleUse Nstdata Crawl to process a reviewed list of URLs with bounded concurrency, checkpoints, and per-page quality checks. Explore Crawl |
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What Does Batch Web Scraping Require?
Batch web scraping starts with a known URL manifest and processes its entries repeatedly and observably. A site crawl starts with one URL and discovers linked pages. They overlap in retrieval but have different input contracts. Nstdata’s public Crawl documentation says multiple known URLs are currently handled by submitting concurrent single-page tasks; it does not document one unlimited bulk-URL endpoint. For a site section, use the bounded site-crawl route instead.
For batch web scraping, Nstdata Crawl supplies retrieval and conversion as a site-to-data layer for AI agents, RAG, and data pipelines. Keep the field rules and validation needed for process a reviewed list of URLs with bounded concurrency, checkpoints, and per-page quality checks in your own application. The Nstdata full-site crawling guide explains how to expand from a page to a bounded collection.
For the narrower task covered here, the Nstdata automated collection guide gives useful context for choosing the first representative page.
What Do You Need Before You Start?
Start with an approved URL list, canonicalization rule, and expected page type for every item. Separate hosts so each domain can have its own pacing and access policy. Confirm current concurrency and request-rate limits in your account rather than copying a number from another vendor. Define maximum attempts, timeout, terminal-error handling, and a checkpoint store. Keep the API key server-side and do not log it.
For batch web scraping, use https://api.nstdata.io for the documented REST examples. The current Crawl API documentation shows x-api-key and Content-Type: application/json. A site crawl needs maxDepth, maxPages, and URL rules; a known page uses a single-page route. Check the current Crawl pricing page for limits and any separately metered proxy traffic before scaling process a reviewed list of URLs with bounded concurrency, checkpoints, and per-page quality checks.
Before batch web scraping, review the target’s access policy and scope. The Robots Exclusion Protocol defines how crawlers read robots rules; it does not grant content-use rights. Keep the credentials and private data relevant to this workflow out of examples and diagnostic logs.
The Nstdata multiple-page scraping guide is a companion for defining the acceptance checks before you automate the workflow.
How Do Known-URL Batches Differ from Site Crawls?
Nstdata Crawl supports asynchronous single-page tasks, site-crawl jobs, status polling, and page-result retrieval. Each task has its own completion or failure state. A batch controller should keep a durable queue, limit in-flight requests to the current account allowance, retry only transient failures, and checkpoint accepted records. Managed rendering and proxy routing reduce crawler infrastructure, but they do not replace queue logic or domain-specific acceptance checks.
The batch web scraping pipeline separates discovery, retrieval, transformation, and acceptance. Discovery finds candidate URLs; retrieval obtains a page state; transformation produces a format; acceptance decides whether the record is correct enough to process a reviewed list of URLs with bounded concurrency, checkpoints, and per-page quality checks. An LLM cannot recover content that the acquisition step dropped. Keep source URLs and returned metadata attached to the accepted record.
For dynamic pages in a batch web scraping workflow, test a representative page rather than assuming a browser render is identical to what every visitor sees. State can depend on timing, geography, consent, or a signed-in session. Nstdata provides browser rendering and proxy routing, but your application must determine whether the returned page is the one you intended to process.
How Do You Process a Large URL Batch Safely?
To process a reviewed list of URLs with bounded concurrency, checkpoints, and per-page quality checks, choose the route that matches your input and scale. The Playground is useful for inspection, the API handles repeatable calls, and a bounded site job handles linked pages. Each route has a different result shape, so verify the route before using it in production.
Method 1: Test a representative sample in Playground
Best before dispatching thousands of URLs.
Step 1: Choose diverse samples
Select one static page, one dynamic page, one known missing URL, and one page from each major template.
Step 2: Run each sample
Use Dashboard → Crawl Playground to test formats, rendering, and wait settings. [Screenshot: sample results with success and failure states.]
Step 3: Define acceptance
Record required title, status, content length, expected phrase, and source URL for each template. A batch is only as useful as its accepted records.
Method 2: Queue asynchronous single-page tasks
Best when you already know the exact URLs.
Step 1: Prepare a durable queue
Deduplicate URLs and store pending, processing, accepted, rejected, and retry states. Assign a stable key per URL and extraction version.
Step 2: Submit bounded requests
Use the current documented asynchronous scrape route with x-api-key, then store every returned task ID. The docs contain conflicting route labels, so verify the route generated by your Playground before production. The sample below shows the documented request body, not a fictitious bulk endpoint.
This documentation-aligned batch web scraping request requires your own API key. Check the current Playground-generated request for your account before deployment.
curl --request POST "https://api.nstdata.io/api/v1/crawl/scrape" \ --header "x-api-key: ${NSTDATA_API_TOKEN}" \ --header "Content-Type: application/json" \ --data '{"url":"https://example.com/article","formats":["markdown"],"timeout":60000}'
Step 3: Poll and checkpoint
Query each task, inspect nested success and page status, retrieve artifact references, and write accepted output before acknowledging the queue item. Back off on transient errors and stop at your retry limit.
Method 3: Use site crawl for a linked section
Best when the input is one documentation or catalog section rather than a fixed list.
Step 1: Bound discovery
Set maxDepth, maxPages, and include/exclude patterns. Large sites should be divided into reviewed sections.
Step 2: Submit the site job
Call POST /api/v1/crawl, save the crawl ID, and poll status counters.
Step 3: Drain all pages
Retrieve page results until the returned cursor is exhausted. Reconcile completed, failed, and accepted counts; do not equate submitted pages with useful records.
How Do You Verify the Output?
The useful batch metric is accepted records per submitted URL, with separate counts for retrieval failure, parsing failure, semantic rejection, and duplicates. Keep request IDs, task IDs, non-secret settings, source URLs, and content hashes. Do not increase concurrency while errors or latency are climbing. Scrapy’s optimization guidance recommends observing response status, retries, and latency while adjusting crawl load. The Nstdata automated collection guide gives context for managed Crawl task tracking.
The Nstdata full-site crawl guide connects this page-level check to a downstream AI or data workflow.
For batch web scraping, record the request URL, submission time, selected formats, non-secret options, task ID when present, returned status, and the reason each record was accepted or rejected. Check the body as well as the envelope. Nstdata documents markdownRef, htmlRef, rawDataRef, screenshotRef, and pdfRef for large artifacts; read the returned token using the storage endpoint instead of constructing one.
For this workflow, consult Scrapy optimization guidance when implementing the downstream parser or format-specific acceptance check.
Web content acquired for batch web scraping is untrusted data when passed to an agent. OWASP guidance on prompt injection explains why instructions embedded in retrieved pages should not gain authority over the agent’s tools. Keep tool permissions narrow and retain source citations for model claims.
Why Might a Batch Crawl Stall or Duplicate Results?
Failures in batch crawling are usually visible in task status, page status, or content quality. Diagnose one layer at a time before raising limits or retrying.
| Symptom | Likely cause | Next action |
|---|---|---|
| Queue grows without output | Concurrency or task completion is lower than submission rate. | Check account limits, status counters, and worker checkpoints. |
| Duplicate records appear | URLs were retried or normalized inconsistently. | Use idempotent keys and canonical URL rules. |
| Many HTTP successes contain bad pages | Challenge, consent, or wrong-template pages passed envelope checks. | Validate title and expected body content per template. |
For batch web scraping, Nstdata’s documentation lists task-level errors such as access_denied, timeout, parse_error, and internal_error. An outer HTTP 200 can still accompany a failed task. Check the body’s success, status, errorCode, and errorMessage when present. Retry only transient failures on sites you are permitted to access.
Which Method Is the Best Fit?
For process a reviewed list of URLs with bounded concurrency, checkpoints, and per-page quality checks, start with one representative page in the Playground, then automate only the settings that passed validation. Use site discovery when the input is a site section; use a single-page call when a URL is already known. Nstdata Crawl is an acquisition and conversion layer, not a substitute for your application’s field rules, QA, storage, or refresh schedule. The Nstdata site-crawling overview is useful when you expand scope. For teams that need routing across several proxy sources outside managed Crawl jobs, evaluate Nstdata Proxy Manager separately.
Ready to Test the Workflow?
Start with a small authorized sample, compare outputs with the source, and save the accepted records before scaling.
FAQ
Q: Does Nstdata expose a single bulk-URL endpoint?
The visible public documentation describes concurrent single-page tasks for known URLs and a separate site-crawl route. Do not assume a bulk endpoint exists.
Q: How many requests should run at once?
Use the current account limits and target-site policy, start small, and increase only while error and latency metrics remain healthy.
Q: How do I resume an interrupted batch?
Store queue state, task IDs, accepted-output hashes, and retry counts so completed URLs are not submitted again.
Q: Does batch crawling require a separate proxy configuration with Nstdata Crawl?
A standard managed Crawl request does not require separate proxy Host, Port, Username, Password, or Protocol fields. Confirm any optional custom proxy selection and related usage charges in your account.
Q: Does HTTP 200 prove a batch crawling result is usable?
No. Check the nested task result, page status, expected fields, and body fidelity before using it in an AI or data workflow.





