You will get Extract and Verify Web Data — Source URL Cited for Every Record
Project details
There are two things you can buy when you need data off the web, and they are not the same product.
One is the extract: rows, fast and cheap. If you trust the source and will check the file yourself, that is the right purchase.
The other is a dataset you can stand behind — every value traceable to the page it came from, disagreements between sources shown rather than silently resolved, and whatever could not be established written down instead of filled in. It exists for work that cannot carry an unexplained number: research you publish, data you hand a client, a database others build on.
Most data jobs fail not at extraction but because the source was wrong and nobody checked. Recent work: 127 AI film festivals into one 581-row table. Three source errors caught — one site printed each award below its film, so a naive read gave every prize to the wrong winner. Runtime and frame size were measured from the video files, not copied from listings, because festival sites get their own metadata wrong.
A blank cell is a finding. An invented cell is a liability.
Python, Playwright, and manual verification wherever automation cannot be trusted.
One is the extract: rows, fast and cheap. If you trust the source and will check the file yourself, that is the right purchase.
The other is a dataset you can stand behind — every value traceable to the page it came from, disagreements between sources shown rather than silently resolved, and whatever could not be established written down instead of filled in. It exists for work that cannot carry an unexplained number: research you publish, data you hand a client, a database others build on.
Most data jobs fail not at extraction but because the source was wrong and nobody checked. Recent work: 127 AI film festivals into one 581-row table. Three source errors caught — one site printed each award below its film, so a naive read gave every prize to the wrong winner. Runtime and frame size were measured from the video files, not copied from listings, because festival sites get their own metadata wrong.
A blank cell is a finding. An invented cell is a liability.
Python, Playwright, and manual verification wherever automation cannot be trusted.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$95
|
Standard
$199
|
Advanced
$449
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Pages Mined/Scraped | 150 | 400 | 1000 |
Number of Sources Mined/Scraped | 1 | 3 | 6 |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$48 - $225Frequently asked questions
About Sergei
Verified Datasets from Public Sources | Web Scraping & Data Extraction
Tallinn, Estonia - 11:44 am local time
I hand back the dataset together with a short account of what was verified, what was corrected, and what could not be established. If a field can't be filled honestly, I tell you why instead of filling it.
What I do
- Scraping public sites, directories, marketplaces and registries — Playwright, Selenium, Scrapy, BeautifulSoup
- JS-rendered pages, search forms, infinite scroll, pagination
- Cleaning the result: deduplication, consistent columns, source URL on every row, so you can check any line against the original page
- Delivery as CSV, Excel or Google Sheets — plus the script itself, so you can re-run it yourself later
- Small automation scripts: batch file processing, PDF text extraction, scheduled re-runs
How I work
1. You name the source and the fields you need.
2. I send the first 20-30 rows before the full run, so you can check the columns are right before paying for volume.
3. You get the data file, the script, and a short note on how to run it again.
What I will tell you upfront
If a source sits behind Cloudflare, DataDome or a captcha, or needs a login to your account, I say so before we start — not after you've paid. I don't do account registration at scale, credential-based access, or anything that breaks a site's terms.
Happy to start with a small paid test task so you can check the output before committing to a full run.
Steps for completing your project
After purchasing the project, send requirements so Sergei can start the project.
Delivery time starts when Sergei receives requirements from you.
Sergei works on your project following the steps below.
Revisions may occur after the delivery date.
Source check — free, before you order
I open what you sent and tell you which of your columns exist there and which do not. If the data you need is not published, you do not order.
Field mapping
We agree the exact column list, and what happens to any field the source does not publish.