Custom Python scraper built with BeautifulSoup, Playwright, or requests (chosen based on target site)

Handles up to 3 source URLs or 1 multi-page category scrape

Handles pagination and dynamic (JavaScript-rendered) content

Handles login-required sources where credentials are provided

Anti-blocking best practices: sensible delays, realistic User-Agent, no hammering

Data delivered in JSON or CSV format (your choice), cleanly structured with consistent schemas

Field mapping to your specification (up to 15 fields per record)

Up to 5,000 records per target (volume above this: message me for custom quote)

Full Python source code with type hints and docstrings

README explaining how to run, what it does, dependencies

Sample output file (JSON/CSV) with real scraped data

.env.example for any credentials

One round of revisions (e.g., add 2 more fields, change output format)

CAPTCHA solving at scale — if a site has aggressive CAPTCHA on every page, I'll tell you upfront and we re-scope

Mass residential-proxy rotation scraping (100k+ records)

Continuous monitoring / scheduled re-runs (that's Package 3)

Front-end dashboard — data is delivered as files or simple API only

1 round of revisions included. Additional revisions: $100/round.

Small-to-midsize company that needs structured data from 1-3 specific sites

Real estate, e-commerce, automotive, lead generation, or research use case

Has a clear target site and field list before engagement

URLs of target sites (3 max for this price tier)

List of fields you want extracted (≤15 per record)

Login credentials if site is auth-required

Sample of expected output (a single record mockup if possible)