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Google Business Details Scraper

Google Business Details Scraper

Pending
💰 AUD 30–250 👤 Unknown 🕒 17d ago status: new
Python Data Processing Web Scraping Software Architecture Data Mining Scrapy Data Extraction Selenium
I need a reliable script that can collect text-based business details directly from Google results at scale. The scraper should capture, at minimum, the business name, full address, phone number, website URL (when available), and Google Maps link, then output everything into a clean CSV or XLSX file. Key points • Source: Google (standard web search or Google Maps, whichever yields the most complete information) • Data type: text only; no images required • Target fields: name, address, phone, site URL, maps link – plus any additional metadata you can extract such as rating or opening hours if readily available • Volume: thousands of records in a single run without triggering blocks or captchas Deliverables 1. Fully commented Python script (Selenium, Scrapy, Playwright, or similar) that runs on Windows or Linux 2. Quick README explaining setup, dependencies, and usage commands 3. One sample output file containing at least 50 scraped businesses to prove accuracy Acceptance criteria • Script completes without manual intervention and respects input lists/keywords I provide • All mandatory fields populated for at least 95 % of returned businesses • Output passes a random manual check for correctness and formatting Please include a short note on the anti-bot strategy you prefer (rotating proxies, headless browser techniques, etc.) so I know the approach before we start.
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