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We build scripts and headless browser bots using tools like Playwright, Puppeteer, or Scrapy to gather data from websites, portals, and listings—at scale and on schedule.
We connect to third-party APIs to pull clean, structured data into your systems—whether it’s for CRMs, financial data, logistics, or custom business tools.
We process unstructured or semi-structured data and convert it into usable formats using Python scripts, Pandas pipelines, or serverless workflows.
From scheduled data pulls to event-triggered processing, we automate everything with tools like AWS Lambda, CloudWatch, or GitHub Actions—built to run quietly in the background.
We format and send your data into the tools you already use—like Google Sheets, Airtable, BigQuery, or dashboards via REST APIs and batch uploads.
We automate multi-step workflows with headless browsers—like logging in, navigating interfaces, exporting reports, or interacting with JavaScript-heavy apps.
We handle rate limits, captchas, and bot protections using smart retries, rotating proxies, and stealth browser techniques—so your scraping jobs stay reliable.
We set up cron-based or event-based triggers to run scraping, parsing, or syncing jobs exactly when you need them.
Need to pull info from PDFs or images? We use Tesseract, AWS Textract, or custom ML models to extract and process data from scanned documents.
We start with the goal—what data you need, where it lives, and what format it should take.
We choose the right tools—scraper, parser, or API connector—and make sure it handles edge cases and dynamic content.
We schedule your jobs to run on their own—hourly, daily, weekly, or on-demand. Everything is logged and monitored.
We clean raw data, validate it, and reshape it into the structure you need—flat files, JSON, or DB-ready formats.
We send the results where they need to go—your database, dashboard, storage, or third-party tools—and set it up to keep going without extra work.
