Ready-to-use prompts for AI-powered web scraping
Extract the product name, current price, original price, discount percentage, rating (out of 5), number of reviews, availability status, and the first 5 bullet points from the product description.
Extract the person's full name, headline, current company, job title, location, number of connections, and their last 3 work experiences with company names and durations.
Extract the property address, listing price, number of bedrooms, bathrooms, square footage, lot size, year built, property type, and Zestimate value if available.
Extract the job title, company name, location, salary range if shown, job type (full-time/part-time), posted date, and the key requirements from the job description.
Extract the article headline, author name, publication date, main image URL, article summary (2-3 sentences), and the 5 most important quotes from the article.
Extract the first 10 reviews with: reviewer name, rating, review date, review title, review text, and whether it's a verified purchase. Also identify the top 3 positive and negative themes.
Find and extract all contact information from this page: email addresses, phone numbers, physical address, social media links (LinkedIn, Twitter, Facebook), and contact form URL if present.
Extract the top 10 organic search results with: position, title, URL, meta description, and any featured snippets or rich results. Note if any results are ads.