We scrape the web. You get the data.

One-off projects start at $500 per site and depend on how protected the site is and how much data you need. Recurring runs are quoted monthly. A dedicated engineer is $2,500 a month. You get a fixed price within 24 hours of sending the site. See web scraping pricing for both options.

You name the website and the fields you want (say, product name, price, stock). We write and run the scraper, deal with blocks and logins where allowed, check the data for gaps and duplicates, and deliver it in the format you use. You never touch a tool. How we work shows the full process, step by step.

A sample is part of the project, not a separate paid step. After the 24-hour scope we run the target site and send you a small real extract within three days, so you can judge the data before a full run. The project itself starts at $500 per site.

One-off data: you send a list of URLs and the fields you need, we deliver a finished dataset. Hiring an engineer ($2,500 a month) puts a scraping engineer in your repo and tracker, maintaining the pipeline every day. Most clients start with one-off data and move to a monthly engineer once the data feeds a recurring decision. See hiring an engineer.

Collecting publicly available data is legal in most jurisdictions when done responsibly. We scrape public pages only, review each site's terms and robots.txt, keep request rates polite, and never bypass logins or paywalls. If a job looks wrong, we say no. More on legal and compliance.

Yes. Single-page apps, infinite scroll, mobile app APIs and sites behind Cloudflare, Akamai, DataDome or PerimeterX are the bulk of our work. That is why the first step is a 24-hour scope: we tell you what the site uses and whether it is doable. See anti-bot scraping.

Only with an account you own and where the site's terms allow automation. We use your credentials for your account, never shared or scraped logins.

No. You describe the data in plain words, approve a sample, and receive files or a feed. If your team prefers an API or a database table, we deliver that instead.

Yes. CSV and Google Sheets are the most common deliveries. We also write to S3, Google Cloud Storage, BigQuery, Postgres or a webhook.

Anything shown publicly on a page: product listings and prices, reviews, job postings, business directories, real-estate listings, court and public records, news articles, PDFs and catalogues.

A tool is cheaper if the site is simple and you have someone to babysit it. A managed service makes sense when the site blocks bots, the schema matters, or you need it to keep working next month without thinking about it.

As fresh as you schedule it: one-off, daily, weekly or on demand. Every run is checked for row-count changes and empty fields before delivery, and breaks are fixed within the 30-day window.