Corexy
S/04 — data extraction

Hire a Web Scraping Developer for Custom Data Extraction

Web scraping development means building a program that collects public data from a defined list of websites on a schedule and delivers it into your database, spreadsheet or API. Buying that as a service rather than running a point-and-click tool means paying for the unglamorous half: anti-bot handling, proxy rotation, data validation, and the fixes every scraper needs when a target site changes its markup.

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What this solves

A no-code scraper hit its ceiling

Point-and-click tools work until the target adds a JS challenge, paginates strangely, or you need three sites merged into one schema. At that point the subscription becomes a monthly bill for something that no longer runs.

Competitor pricing arrives too late

By the time someone has copied numbers into a sheet, the market has moved and there is no history to compare against. A scheduled scraper captures every snapshot, so you can see who changed what and when.

The data has to land in your systems

A CSV that a person re-uploads by hand is not a pipeline. We write straight into PostgreSQL, Google Sheets or an HTTP endpoint your application already calls, against a field schema agreed before the build starts.

Your last scraper died and nobody owns it

A contractor shipped a script, moved on, and it broke at the first layout change. We take over the existing code, rewrite the fragile parts, and put run monitoring in front of it so a failure is an alert, not a silent gap in your data.

Legal sign-off is blocking the project

Counsel wants to know exactly what gets collected before anything runs. We scope to public pages only, exclude personal data, leave paywalls and third-party logins alone, and put that boundary in writing up front.

How the work runs

  1. Source review

    1–2 days

    We open every target site and check what sits in the HTML, what loads over background requests, and what protection guards it. You get a straight answer on which fields are realistically collectable.

  2. Prototype and sample data

    2–4 days

    We build a working scraper for one section and send you 100–200 real rows. You confirm the fields and the data quality before the main build starts.

  3. Full build and anti-bot work

    5–10 days

    We scale to the whole source list: proxy rotation, retries, rate limits, deduplication and integrity checks. Data lands in the target store with change history instead of being overwritten each run.

  4. Scheduling and delivery

    1–3 days

    We set the run schedule, wire the output into your database, sheet or API, and add failure alerts to Slack, email or Telegram. You also get a short runbook for re-running a job yourself.

  5. Handover and maintenance

    1 day

    Source code, documentation and infrastructure access transfer to you after full payment. One month of warranty follows, then optional maintenance that keeps the scraper alive through layout changes.

Stack

We pick the lightest tool a site allows: plain HTTP requests where the data is already in the response, a headless browser only where it genuinely is not. That single decision is what keeps proxy bills and run times down over the life of the scraper.

  • Python
  • Scrapy
  • Playwright
  • httpx
  • lxml
  • PostgreSQL 16
  • Redis
  • Celery
  • FastAPI
  • Docker
  • Google Sheets API
  • residential & mobile proxies

What it costs

Single source

from $600 / from 60 000 ₽

One site or marketplace, up to three page types, output to CSV, Excel or Google Sheets, running once a day. Enough to start tracking one competitor. Heavy bot protection moves both the timeline and the price up.

Monitoring pipeline

from $1,500 / from 150 000 ₽

Several sources normalised into one schema, price and stock history, proxy rotation and anti-bot handling, delivery into your database or an API, plus failure alerts. Source count and refresh frequency drive the number.

Maintenance retainer

from $400 / from 40 000 ₽ per month

Run monitoring, fixes when a target changes layout, new sources and fields on request, freshness checks on the output. A dedicated engineer who already knows your pipeline instead of relearning it every time.

Prices are indicative and do not constitute a public offer. The final cost, scope and timeline are fixed in a contract or invoice after we have discussed the task.

Related case study

A scraper is only as useful as the place it writes to. For a HoReCa chain we built an accounting system on AppSheet with Google Sheets as the database: 20+ sheets, 5 access roles, 0 servers. The same principle drives how we deliver scraped output — into a store the team already knows how to open, not a warehouse nobody logs into.

Read the AppSheet case

Frequently asked questions

Is web scraping legal?
Collecting publicly available data is lawful in most jurisdictions, and that is the only kind of work we take on. We scrape pages any visitor can open without logging in, we exclude personal data, and we do not defeat paywalls or access controls. If a target's terms or the data type make a request risky, we say so during the source review — before you have spent anything.
How much does a custom web scraper cost?
A single-source scraper starts at $600 / 60 000 ₽; a multi-source monitoring pipeline with history and anti-bot handling starts at $1,500 / 150 000 ₽. Billing is hourly from $30 / 3 000 ₽, split 50% upfront and 50% on acceptance. The biggest cost driver is not the number of fields, it is how aggressively the target defends itself.
How do you handle anti-bot protection like Cloudflare?
With residential and mobile proxy rotation, human-plausible request pacing, and full browser rendering where the challenge requires it. We do not promise to beat every protection — some targets are not worth what they would cost, and you hear that in the source review rather than after paying. Proxy traffic is quoted separately from development.
What happens when the target site changes its layout?
We fix it: free for the first month after release under warranty, and continuously under a maintenance retainer from $400 / 40 000 ₽ a month. Every scraper we ship carries validation checks that distinguish "the site changed" from "the site is down", so the failure reaches us as an alert before you notice a gap in the data.
Can you deliver data as CSV, Excel, an API, or into our database?
All four, and the choice is made before the build starts. Common setups are a direct write into PostgreSQL, a scheduled push into Google Sheets, or a small HTTP API your application polls for the latest snapshot. The field schema is agreed on the prototype sample, because reshaping the output later costs more than getting it right once.
How often can the scraper run?
Anywhere from once a day to every few minutes — the limit comes from the target site, not from us. Higher frequency means more requests, more proxy traffic and a higher chance of blocks, so it costs more to operate. For competitor price monitoring, 2–4 runs a day is usually enough; marketplace stock levels justify more.
Do you supply the proxies or do we?
Either works. We can run everything on our proxy accounts and pass the traffic through at cost, or use your provider account if you already have one. Proxy spend is always quoted separately from development hours, so you can see what it actually costs to keep the data flowing each month.
Can you scrape pages that require a login?
Yes, when the account is yours and you are entitled to that access — your own seller dashboard, your supplier portal, your analytics account. We do not use someone else's credentials and we do not break paywalls. Before building anything behind a login we check for an official API, which is nearly always cheaper and far more stable.

Send us the list of sites

We will review each source, tell you what can and cannot be collected, and come back with an estimate in hours and money. Scoping is free and we reply within 2 hours during business hours.

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Hire a Web Scraping Developer — Corexy