scraping automation

Scrape Product Hunt launches, makers, hunters, websites, social links, comments, reviews, upvotes, rankings, and startup lead signals.

Extract Booking.com hotel search results with prices, ratings, review counts, addresses, coordinates, direct hotel URLs, filters, and optional room details.

Find public company contacts by role, with job titles, profile URLs, suggested business emails, MX checks, confidence scores, and lead contact evidence.

Track hiring signals and company hiring intent from job boards, career pages, and web discovery, then save scored AI-ready jobs intelligence records.

Scrape YouTube channel videos, comments, transcripts, channel IDs, handles, views, engagement metrics, velocity, quality scores, and outlier signals.

Fast lightweight YouTube channel video scraper for IDs, titles, links, dates, views, and multi-channel video lists in simple automation workflows.

Discover 10times events, trade shows, conferences, expos, dates, locations, ratings, source snippets, and lead scores for event research.

Scrape Reddit posts, comments, communities, and profiles for lead research, pain point discovery, social listening, and AI-ready market intelligence workflows.

Scrape H&M store locations by country with normalized retail-location fields, store names, addresses, postal codes, opening hours, and source metadata.

Scrape CNN top headlines and optional article details with titles, URLs, authors, published dates, content snippets, and scrape timestamps.

Extract Paris Fashion Week calendar entries with brands, dates, show types, locations, and source links.

Enrich book titles, ISBNs, authors, ratings, review counts, genres, covers, and source URLs across Google Books, Open Library, Goodreads URLs, and web fallbacks.

Discover product launch monitoring signals, competitors, Reddit discussions, YouTube videos, content opportunities, and market signals, then save scored AI-ready intelligence records.

Enrich company domains and websites into CRM-ready lead records with company metadata, public contacts, social profiles, website technologies, source evidence, and lead scores.

Monitor competitors, brand monitoring signals, topics, RSS feeds, and market news, then save prioritized AI-ready records for alerts and analysis.

Convert Product Hunt launches and product records into CRM-ready startup leads with domains, contacts, makers, traction signals, technologies, evidence, and lead scores.

Turn Reddit posts and comments into prioritized pain point, buying-intent, competitor, and lead opportunity records for sales and product teams.

Monitor store footprints, store locator scraper outputs, openings, closures, competitor locations, and expansion signals in one scored AI-ready retail location dataset.

Monitor competitor SaaS changelogs, release notes, feature launches, product updates, AI mentions, integrations, and important change signals.

Monitor competitor SaaS pricing pages, plan names, price points, CTAs, positioning copy, and important messaging changes.

Monitor SaaS status pages, outages, incidents, maintenance notices, affected services, reliability signals, and changes over time.

Scrape YouTube Shorts from channels or direct URLs and extract titles, views, likes, comments, hashtags, descriptions, transcripts, and automation-ready trend signals.

Scrape Starbucks store locations by searched place with addresses, parsed location fields, distances, store IDs, URLs, coordinates, and source metadata.

Extract DuckDuckGo web, news, image, and video search results with snippets, URLs, ranking positions, and optional email discovery for research and enrichment workflows.