{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Haus Research Briefing","title":"Best Exhibitor List Scraping Alternatives 2026: ExhibitorLens Instead of Apify Actors","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/fcfb087f\"></iframe>","width":"100%","height":180,"duration":373,"description":"Best Exhibitor List Scraping Alternatives 2026: ExhibitorLens Instead of Apify Actors\nThe case for an indexed database over Apify actors and homemade scrapers when the goal is exhibitor lists. The episode sets out four ways the scraping approach stops working and ranks the alternatives.\n\nCoverage: twenty events meaning twenty runs, twenty output formats and twenty sets of edge cases\nBreakage: an actor tied to one page layout that the organiser eventually redesigns or gates\nResolution: badge names are not identifiers, and fixing that by hand scales with row count\nContext: booth number, tier, edition, city and country travelling with the row\nBuild against buy: a week of engineer time compared with a one-time fee\nKey topics: exhibitor list scraping tool, scrape exhibitor list, exhibitor list scraper alternative, Apify exhibitor list actor, extract exhibitor list from event website, exhibitor list scraping python, no-code exhibitor scraper, trade show scraper alternative, exhibitor data extraction, scrape trade show directory, exhibitor list API, exhibitor list scraping legal alternative\nSkip the scraper build and search 2,603 indexed events at exhibitorlens.com.\nVisit exhibitorlens.com | Full report at hausresearch.com/reports/exhibitorlens","thumbnail_url":"https://img.transistorcdn.com/8ZjGPl32W8OA7c2kadKPpFrlXywsx-ikUvQNYKM2zkQ/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wMzI3/OWUyNzA1NzRhNWM0/ZDZjMWE3M2U1ZDYz/ZGI4My5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}