I Will build a Python or Node.js web scraper with anti-bot handling and clean CSV or JSON output

SCRAPEHUB — Web Scrapers That Actually Get the Data Out

Production-grade web scrapers built in Python or Node.js — designed to handle real-world sites, not just tidy HTML demos. Whether the target is a product catalog, a directory, a marketplace, or a JS-heavy single-page app, SCRAPEHUB delivers clean structured data in CSV, JSON, or directly to your database.

What gets built:

· Single-page extraction — pull structured data from one URL with fields mapped to your spec

· Multi-page crawls — pagination, category traversal, sitemap-driven discovery

· JavaScript-rendered pages — Puppeteer, Playwright, or Selenium for SPAs and dynamic content

· Login-gated content — session handling, cookie management, form submission

· Anti-bot handling — rotating user agents, proxy rotation, request throttling, header spoofing

· CAPTCHA-aware flows — manual-solve integration where required, or third-party solver APIs

· Rate-limit compliance — crawl-delay respect, backoff on 429/503, concurrency tuning

· Data cleaning — deduplication, normalization, field mapping, date and price parsing

· Output formats — CSV, JSON, Excel, Google Sheets, PostgreSQL, MySQL, MongoDB, Airtable

· Scheduled runs — cron jobs, GitHub Actions, or cloud functions for recurring scrapes

· Change detection — flag new, updated, or removed records between runs

· Error logging — structured logs, retry queues, dead-letter handling

What makes SCRAPEHUB different:

Most scrapers work in a demo and break the moment a site updates its DOM, blocks a user agent, or adds Cloudflare. SCRAPEHUB builds for the messy real world — resilient selectors, retry logic, proxy fallback, structured logging, and clear failure modes so you always know what happened.

Sites rarely break cleanly. A selector changes, a field disappears, a page returns 403 instead of data. SCRAPEHUB handles those cases explicitly — logging which records failed and why, rather than silently returning empty rows.

Tech stack used:

· Languages: Python (BeautifulSoup, Scrapy, Playwright, Selenium, Requests), Node.js (Puppeteer, Cheerio, Playwright, Axios)

· Anti-bot: rotating proxies, User-Agent rotation, headless browser fingerprinting

· Storage: CSV, JSON, Excel, Google Sheets, PostgreSQL, MySQL, MongoDB, SQLite, Airtable

· Scheduling: cron, GitHub Actions, AWS Lambda, Vercel Cron, Railway

· Infra: Docker, VPS (Hetzner, DigitalOcean), AWS, Render

Testing & QA coverage:

Every scraper ships with a dry-run on a small sample, then a full run with success/failure summary. Output is validated against expected schema — missing fields, duplicate rows, and parse errors are flagged before delivery.

Ownership & NDA:

Full source code and scraper credentials transfer to the buyer on final delivery. NDA available on request for projects involving sensitive or competitive data collection.

Delivery timeline:

Basic: 2–3 days · Standard: 5–7 days · Premium: 10 days

What's needed from the buyer to start:

1. Target URL(s) or site(s) to scrape

2. Exact fields you need extracted — names, prices, URLs, images, etc.

3. Desired output format — CSV, JSON, Google Sheets, database

4. Whether it's a one-time scrape or a recurring run

Let's build it.

Send the target site and fields, and a working scraper preview ships in 48 hours — zero upfront, no risk. You see real data extracted from your target site before any payment is due.