Data automation

Collect millions of data rows without manual work

Manually copying product catalogs, current competitor prices on marketplaces, or a contact database from directories is slow, expensive, and inefficient. Manual labor leads to errors, and data becomes outdated faster than a content manager finishes the job.

We develop custom parsers and web scraping systems of any complexity. Our solutions can handle dynamic SPA sites (React, Vue, Angular), bypass Cloudflare protection, solve captchas (ReCaptcha, Cloudflare Turnstile), log into restricted portals, and collect data in multi-threaded mode using proxy networks.

You will receive structured information in any convenient format: from a simple Excel/CSV file and Google Sheets to a direct export to your database, CRM system, or 1C via API.

  • Parsing competitor prices and stock on marketplaces (Ozon, WB, Yandex Market)
  • Collection of contacts, phone numbers, and addresses of organizations (2GIS, Yandex.Maps)
  • Change monitoring: tracking price updates, promotions, and new arrivals
  • Parsing restricted user portals requiring authorization and sessions
  • Development of a custom API for data integration with your IT systems

1000x

A parser collects data faster compared to manual content manager work

100%

Automation — the script runs on a schedule 24/7 without human intervention

10 million pathway

Products and data rows successfully parsed and structured by us

1 sec

Response time to price changes during round-the-clock website monitoring

Bypassing any protection and blocking

We do not use primitive scripts that hosting blocks on the first click. We configure rotation of residential and mobile proxies, mask browser headers (User-Agents), emulate real user behavior (mouse movement, delays), and use headless browsers to execute JS.

Our approach

Why our parsers are more reliable

We create durable solutions with support and intelligent data validation.

Real user emulation

Simple scrapers get banned quickly for suspicious activity. Our scripts use modern frameworks (Playwright/Selenium) for page rendering: they click tabs, scroll content, pause, and simulate a real human session.

This guarantees stable data collection from complex dynamic portals and marketplaces with anti-bot protection.

Intelligent Validation

Websites often change their layout, breaking scrapers or leading to empty columns. Our scrapers are equipped with self-diagnostic modules: they verify data types, check key field completion, and alert to structure changes.

You are insured against receiving corrupted or incomplete tables — the system checks export quality automatically.

API and data integration

Instead of manually importing files, our scripts can send collected data directly to your database (PostgreSQL, MySQL, MongoDB) or 1C/CRM system via REST API.

We take full responsibility for setting up integration, including field mapping and duplicate checking during updates.

Process

Parser development stages

Sequential process of creating a reliable data collection tool with testing and warranty.

01

Analysis of source and technical specifications

We study the target website: determine page structure, data loading type (static HTML or dynamic API), presence of blocks and CAPTCHA. We form precise technical specifications.

02

Architecture design

We select the library stack, develop anti-blocking logic, choose proxy types (residential/mobile), and set up the captcha recognition system.

03

Writing a scraping script

We develop the parser backend in Python or Node.js. We set up parsing of specific fields (title, SKU, price, images, specifications, reviews).

04

Formatting and cleanup

We set up data post-processing: deduplication, price normalization, cleaning HTML tags in descriptions, bringing characteristics to a unified structured format.

05

Integration and Export

We set up export to your desired format (Excel, CSV, Google Sheets) or write a data import script into a database, CRM, or 1C via API / webhooks.

06

Launch, tests, and support

We run a parser on the server (via cron or trigger) and test stability under load. We provide a technical warranty in case the source layout changes.

Technology stack

Parsing Tools

We use modern server libraries and platforms for fast script execution.

Python, BeautifulSoup & Scrapy

Main language tools. Scrapy is used for asynchronous, high-speed multi-threaded data collection, BeautifulSoup — for fast parsing of static HTML code.

Playwright & Puppeteer

Browser emulation tools (headless Chrome/Firefox). Required for scraping modern dynamic websites built on React/Vue that execute JS before rendering content.

Proxies, Anti-Captcha & Cloudflare Bypass

Infrastructure protection bypass services. Automatic IP rotation, passing captcha via API services for solving graphical and interactive tasks (rucaptcha, 2captcha).

Cost

Parser Development Pricing

The price depends on the number of sources, complexity of bypassing website protection, and update frequency.

Features One-time parsing One-time export of structure or database 50 000 ₽ Timeframe: from 3 days Order Popular Monitoring Regular automated collection on schedule 75 000 ₽ Timeline: from 7 days Order API Integration Parser as part of your IT infrastructure 120 000 ₽ Timeframe: from 14 days Discuss
Number of data sources 1 website of medium complexity up to 3 sites (sources) Complex dynamic portals
Volume of exported data up to 100 000 lines up to 1 000 000 lines / month Unlimited (multithreading)
Parsing frequency One-time On schedule (daily/weekly) In real time (Real-time)
Protection bypass (Cloudflare/Captcha) Basic With mobile proxy rotation Complete bypass of defense systems
Result export format Excel / CSV Google Sheets / Excel / JSON Import into your DB / CRM / 1C via API
Telegram notifications about changes When prices/availability change Custom monitoring bot
Technical support period 14 days code warranty 30 days of support 3 months of full support and updates
FAQ

FAQ about data parsing

Didn't find the required information? Write to us — we will analyze your target website and advise on all the nuances.

  • Is it legal to scrape data from third-party websites?

    Collecting open, publicly available information (prices, product catalogs, addresses, specifications) that is freely available without authorization is completely legal (court practice considers this as collecting publicly available data). We do not hack websites, do not scrape personal user data (in violation of Federal Law No. 152), and configure scrapers so that they do not create excessive load on the target resource server (DDoS effect).
  • What will happen if the source website changes its design?

    Changes in layout or selectors can indeed temporarily disrupt a standard scraper. That's why we provide a technical warranty for our scripts (from 14 days to 3 months depending on the plan). During this period, we make free edits to the scraper code for any changes on the target website. We also configure automated script failure notifications to respond promptly to issues.
  • How to scrape websites with strict protection (Cloudflare, CAPTCHAs)?

    For such cases, we use an advanced stack: residential rotating proxies (which look to protection systems like visits from regular home ISPs), browser fingerprint emulation (Canvas, WebGL), automated spoofing of headers and cookies, and integrated captcha auto-solving API services. This allows us to successfully bypass protection at the level of Cloudflare, Akamai, and Imperva.
  • In what format will we receive the collected data?

    Depending on your tasks: Excel (.xlsx), CSV, JSON, export to Google Sheets. For complex integrations, we can set up automatic data loading directly into your database (PostgreSQL, MySQL), import into 1C (via XML/CommerceML), or sending leads/cards to CRM (Bitrix24, amoCRM) via API.
Automatic collection

Need automated data export?

Submit a request, specify the source website URL and the list of data to be scraped. We will analyze the resource's protection, estimate development timelines, and offer the optimal solution.

Order parser development