Freelance › Freelancers services › Software development › Web scraping specialist — reliable crawlers and clean datasets
Web scraping specialist — reliable crawlers and clean datasets
Service description
I build web scrapers for a living, and my focus is on crawlers that keep running long after the demo is over. Most scraping projects break not on the first page but on the tenth thousand: the site changes a class name, pagination switches from query strings to infinite scroll, or a rate limit quietly starts returning empty pages. I design for exactly those failure modes from day one, with retry logic, request throttling, checkpointing, and monitoring so a job that dies at 3 a.m. resumes cleanly instead of silently corrupting your data. Whether you need a one-time extraction of a few thousand records or a recurring pipeline that refreshes daily, I treat the crawler as a piece of software to maintain, not a throwaway script.
Technically I work mostly in Python. For static and well-structured sites I reach for Scrapy, which gives me concurrency, middleware, and pipelines out of the box. For JavaScript-heavy pages, single-page apps, and anything hidden behind rendering or interaction, I use Playwright to drive a real browser, handle logins, and wait for the content that actually matters. I handle the hard parts too: rotating proxies and user agents, respecting or working around rate limits, solving pagination and lazy loading, parsing messy HTML, and reverse-engineering the private JSON APIs that many sites use under the hood, which is usually faster and more stable than scraping the rendered page.
What you receive is not a folder of raw HTML but a clean dataset in the format you asked for — CSV, JSON, Excel, or straight into a database. I normalize fields, deduplicate rows, validate types, and document exactly what each column means and how it was collected. I am happy to discuss the legal and ethical side of any target before we start, and I will tell you honestly if a site is not worth the effort. If you have a source in mind, send me a sample URL and the fields you want, and I will scope the job precisely.
— Scrapy spiders for large-scale, concurrent crawling
— Playwright automation for JavaScript and login-gated pages
— Anti-bot handling: proxy rotation, throttling, headers, retries
— Pagination, infinite scroll, and hidden JSON API extraction
— Clean exports to CSV, JSON, Excel, or a database
— Scheduled recurring scrapers with monitoring and alerts
Technically I work mostly in Python. For static and well-structured sites I reach for Scrapy, which gives me concurrency, middleware, and pipelines out of the box. For JavaScript-heavy pages, single-page apps, and anything hidden behind rendering or interaction, I use Playwright to drive a real browser, handle logins, and wait for the content that actually matters. I handle the hard parts too: rotating proxies and user agents, respecting or working around rate limits, solving pagination and lazy loading, parsing messy HTML, and reverse-engineering the private JSON APIs that many sites use under the hood, which is usually faster and more stable than scraping the rendered page.
What you receive is not a folder of raw HTML but a clean dataset in the format you asked for — CSV, JSON, Excel, or straight into a database. I normalize fields, deduplicate rows, validate types, and document exactly what each column means and how it was collected. I am happy to discuss the legal and ethical side of any target before we start, and I will tell you honestly if a site is not worth the effort. If you have a source in mind, send me a sample URL and the fields you want, and I will scope the job precisely.
— Scrapy spiders for large-scale, concurrent crawling
— Playwright automation for JavaScript and login-gated pages
— Anti-bot handling: proxy rotation, throttling, headers, retries
— Pagination, infinite scroll, and hidden JSON API extraction
— Clean exports to CSV, JSON, Excel, or a database
— Scheduled recurring scrapers with monitoring and alerts
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