FREQUENTLY ASKED QUESTIONS
Web scraping questions, answered
How managed web scraping works, what it costs, where the legal lines sit, and how the data arrives on your side.
Discover the hidden costs of in-house web scraping
PromptCloud Inc, 16192 Coastal Highway, Lewes De 19958, Delaware USA 19958
We are available 24/ 7. Call Now. marketing@promptcloud.comThe difference between extraction and crawling, and how the managed pipeline runs end to end.
Web scraping is the process of extracting specific data, like prices, listings, or reviews, from web pages and turning it into a structured format such as JSON or CSV. It is also referred to as data extraction or data harvesting, different names for the same underlying process. Web crawling is the step before that: discovering and navigating pages across a site or the web. In practice, most projects need both. A crawler finds the pages, and a scraper pulls the data out of them.
PromptCloud handles the entire pipeline for you: crawler setup, ongoing monitoring, data cleaning, and delivery, so your team never touches infrastructure or code. You tell us what data you need and how often, and we deliver it in the format and location you choose. See how the managed service works.
Crawl frequency ranges from once every few minutes to once a month, depending on your requirements. Higher frequency is common for pricing and inventory data, while monthly crawls suit slower-moving data like company directories.
We set up automated checkpoints on every crawler that detect structural changes on the target site. When a site changes its layout, our team is notified and fixes the crawler, so your data delivery isn’t interrupted.
You get access to CrawlBoard, our client portal for technical support, billing, and monitoring crawler activity and stats. You can also schedule ad-hoc crawls and submit support tickets directly through the portal.
Data is delivered in XML, JSON, or CSV format, most commonly through our RESTful API. We can also push data directly to your preferred storage, including FTP, SFTP, Amazon S3, Dropbox, Google Drive, Box, or Microsoft Azure. If you’d rather not deal with any of that, CrawlBoard has a one-click download option.
Yes. IP rotation is built into the platform by default, along with handling for other common blocking mechanisms.
Yes. We have infrastructure in place specifically to work around IP blocking as it happens, so a single block doesn’t interrupt your data delivery.
A DIY tool or API gives you the building blocks, proxies, a scraping engine, maybe some templates, but your team still has to build, monitor, and fix scrapers as sites change. A managed service like PromptCloud takes on that entire workload, so you receive finished, structured data instead of a toolkit. We’ve laid out the full cost comparison in In-House vs. Outsourcing Web Scraping.
No. PromptCloud is a fully managed service, so there’s no infrastructure to set up and no code to write on your end. You define your data requirements, and our team builds and runs the crawlers.
Yes. A proof of concept requires us to build the crawlers in full, since that’s the core of the work, so it runs as a paid 30-day engagement covering up to two sites. This lets you evaluate real output before a longer commitment.
Since PromptCloud delivers a custom data solution rather than off-the-shelf software, there’s no generic demo to walk through. What we can do is share sample data from past projects similar to yours, so you can see the actual output quality.
PromptCloud operates on a Data-as-a-Service model, meaning you’re not involved in setup or monitoring at any stage, we handle end-to-end delivery. This has proven especially valuable for businesses that need to scale data collection and have struggled with both the crawling and the unstructured-to-structured conversion at that scale, backed by fast turnaround times and near-continuous upload capability for high-activity sites.
Yes. Enterprise engagements come with a dedicated account manager and support built around the scale and structural complexity that our larger clients need. If your data requirements span many sites, multiple regions, or tighter compliance needs, this is typically the right starting point rather than a standard plan.
Yes. Clean, structured web data is one of the most common inputs for training and grounding AI and machine learning models, and our delivery pipeline is built to produce exactly that: deduplicated, normalized, and formatted for direct use. See how this plays out in practice in Perplexity AI vs. Web Scraping Services.
Every dataset goes through automated quality checks plus human QA before delivery, so you’re not receiving a raw dump that needs further cleaning on your end. Duplicates are removed, formats are normalized, and the data is structured according to your specific requirements before it reaches you.
Yes, scraping publicly available data is generally legal. The specifics depend on what data you’re collecting and how, so read our full breakdown in Is Web Scraping Legal?
robots.txt is a text file a website publishes to tell automated crawlers which parts of the site they’re allowed to access. It’s the first thing any responsible crawler checks before touching a page, and it’s the practical line between compliant scraping and scraping that creates legal exposure, which is why we check it on every project before writing a single line of crawler code.
Yes, when it’s done the way we do it: collecting only publicly available data, respecting robots.txt, and not overloading the target site with requests. Ethics and legality are related but separate questions, a scrape can be technically legal but still strain a site’s servers or ignore its stated access rules, so we treat both as requirements rather than treating legal compliance as the whole answer.
No, not if the site’s robots.txt file disallows it. We respect robots.txt on every project, since crawling against those instructions creates legal exposure for both us and our clients, even where it might be technically possible.
No. If a site’s robots.txt disallows crawling, we don’t crawl it, regardless of technical feasibility.
Once data is delivered, using it in line with the source website’s terms of service is the client’s responsibility. We only crawl sites where bots are permitted under robots.txt, but how you subsequently use that data falls under your organization’s compliance obligations.
Each contract has its own specific term with defined termination and renewal clauses. In most cases, we ask for at least a month’s notice so project-specific resources can be released properly.
Billing is monthly, based on the crawl frequency and data volume set up for each site, so your invoice reflects actual usage rather than a flat subscription fee.
Your monthly bill combines a volume fee based on records delivered and a flat site maintenance fee. For example, a site crawled weekly that delivers 50,000 records in a month would cost $25 in volume fees (at $5 per 10,000 records) plus a $79 monthly maintenance and monitoring fee, for $104 total.
This fee covers technical support, data pipeline infrastructure, and fixing crawlers when a target site changes its structure. It applies per site, regardless of how much data that site delivers in a given month.
Yes. Pricing is tied to crawl frequency, and since more frequent crawls typically deliver more records, volume charges can rise accordingly.
Yes, new sites can be added at any time, though each new site carries its own setup fee and setup time.
Yes, custom delivery mechanisms such as FTP, Amazon S3, Dropbox, or Box carry an additional $30 per month. Delivery through our default PromptCloud Data API is free.
Yes. Pricing is tiered by volume, and we offer discounts for clients expecting monthly data volumes in the millions.
We accept all major credit cards. If your organization needs a different arrangement, that can be worked out as part of your contract.
Yes. Existing customers get up to $100 in credit for every successful referral, which can be applied toward your data solutions.



