We build scrapers that collect public data from the sites you name, clean it, and deliver it to a spreadsheet, a database or your own system on a schedule, with alerts when something changes or stops working.
Tell us what you needSee typical projectsScoped in writing, built in your accounts, handed over with docs.
What we hear from businesses before a project like this starts.
The requests that come up most often for this kind of work, and what each one takes to work properly.
Every product, description and image link from the sites you name, in one spreadsheet with consistent columns.
Data from several supplier accounts you have logins for, collected into one table and shown on a simple dashboard.
PDFs and office files downloaded in bulk with their metadata, named and organised so you can find them.
A cloud job that checks pages on a schedule and tells you what changed, with the old and new text.
Name, address, phone, website and category from public directories, de-duplicated.
Results matched to your SKUs or UPCs so each row lines up with your catalogue.
Tools that come up most: Python, Playwright, Selenium, Scrapy, BeautifulSoup, Excel, Google Sheets, CSV, Postgres.
Concrete pieces, each one something you can open and check when it's done.
Jobs that run hourly, daily or weekly, collect exactly the fields you need and skip what you don't.
Python, headless browsers, sitemaps and public APIs where they existDe-duplicated rows, consistent formats and a stable ID per record, delivered where you work.
CSV, Google Sheets, Postgres, Airtable, your APIAn email or Slack message when a price, stock level, listing or document changes, with what it was before.
Diff tracking, email, Slack, webhooksEvery run is checked. If a site changes and the scraper returns nothing or nonsense, you hear about it the same day.
Run logs, row-count checks, failure alertsEvery run kept, so you can see how a price or listing changed over time, not just today's value.
A small database or dated sheetsThe code, a plain-language run book, and the schedule set up in an account you own.
GitHub, a small cloud server or scheduled jobExample packages to show the shape of the work. These are examples, not past clients; yours gets its own written scope.
Example package
Prices and stock status for a list of products on a handful of competitor sites, collected daily into a Google Sheet.
You get
Example package
New and changed listings from a directory or marketplace, collected daily into a database with duplicates removed.
You get
Example package
A watch on a set of pages (policies, filings, product pages) that tells you what changed and when.
You get
Example package
Every PDF or file published on a public site, downloaded with its title, date and source page, and kept up to date.
You get
Trailridge Outfitters sells 1,200+ outdoor products and was checking competitor prices by hand. We built a scraper that crawls four competitor sites every 6 hours, matches their products to the store's catalog by GTIN and by title plus brand, and flags undercuts, price changes, coupons and stock-outs. Alerts go to Slack and email, and the full price table syncs to a Google Sheet after every run.
Python, Playwright, Scrapy, PostgreSQL, Shopify Admin API, Google Sheets API, Docker
A working example we built to show this kind of work. It is a demonstration, not a client project.
Sample build
Rate-limited crawler that walks every category and page of a public practice bookstore: 1,000 titles in 81 requests. Outputs a dated CSV and a formatted Excel workbook with category summary and change-tracking sheets. Runs as a Docker job on a cron schedule.
Python 3.12, requests, BeautifulSoup, openpyxl, Docker Compose, cron
About the screenshot: Output from a run against a public practice bookstore site built for scraping practice.
The habits that keep this kind of project from going wrong.
Many sites publish a feed, sitemap or public API. If one exists we use it: it is faster and breaks less.
We collect public data at a polite rate and read each site's terms before quoting. Data behind a login is only collected from accounts you have the right to use.
Sites change. Every scraper checks its own output and tells you when it looks wrong, rather than failing quietly.
You see rows from the first site early, so the columns and format are agreed before the rest is built.
You know what you're getting before work begins, and you see it working at every milestone.
Tell us what you need in your own words, and which tools you already use. A few lines is plenty to start.
We reply with a short written scope: what gets built, what is out of scope, which accounts we need, and how we'll both know it works. You know what you're getting before work begins.
The work is split into milestones. At each one you see it working in your own account and sign it off before we go on.
You get the working system, its documentation and a walkthrough. If anything we built breaks in the next 30 days, we fix it at no charge.
Pushbuild has built software for businesses since 2010, for more than 40 clients. Every project is led by a former public-company CTO, from Groton, Massachusetts. See products we've built.
We collect publicly available data, at a polite rate, and we read each site's terms before we scope the job. If a site forbids it or the data sits behind a login you don't have rights to, we say so in the scope rather than build it.
Both. A one-off pull is delivered as a file; a scheduled one is set up to run in your account.
Monitoring tells you the same day. In the 30 days after handover we fix it at no charge. After that, a repair is scoped and agreed with you before we do it.
In an account in your name, usually a small cloud server or scheduled job. We tell you the expected monthly running cost in the scope, before you agree.
You do. The code goes into a repository you own, and the data lands in your sheet, database or storage, not ours.
Most scrapers take one to three weeks from the signed scope. You see real data from the first site at the first milestone.
Email a few lines about what you want and which tools you use, or call. We reply with questions or a written scope.
hello@pushbuild.com