Travel

travel, tourism, airlines, hotels

7 datasets tagged as the topic “Travel”.

7 datasets.

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Instagram Influencer Dataset — Travel Analyzed

A Instagram (travel influencers) dataset of 1,203,723 posts from travel influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the travel category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.

1.2M records2020

Stack Exchange — travel.stackexchange.com Analyzed

A Stack Exchange (travel.stackexchange.com) dataset of 31,218 users, 61,029 answer-collaboration edges, 48,768 questions, 76,736 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from travel.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

484.4K records31.2K nodes61K edges2025

Stack Exchange — outdoors.stackexchange.com Analyzed

A Stack Exchange (outdoors.stackexchange.com) dataset of 4,273 users, 10,653 answer-collaboration edges, 6,168 questions, 15,078 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from outdoors.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

73.5K records4.3K nodes10.7K edges2025

Stack Exchange — expatriates.stackexchange.com Analyzed

A Stack Exchange (expatriates.stackexchange.com) dataset of 4,535 users, 6,099 answer-collaboration edges, 7,861 questions, 7,946 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from expatriates.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

54.1K records4.5K nodes6.1K edges2025

SkyTrax Airline Reviews Dataset Analyzed

A SkyTrax dataset of 41,396 airline reviews from 362 airlines, collected by quankiquanki via SkyTrax (2014-2020). Each record contains review text, airline name, traveller type, cabin flown, overall rating, seat comfort, cabin staff, food and beverages, inflight entertainment, ground service, WiFi, value for money, and recommendation status. A comprehensive collection of airline reviews with detailed sub-ratings across multiple service dimensions, enabling granular sentiment analysis and service quality research. Suitable for sentiment analysis, service quality prediction, recommendation systems, customer satisfaction research.

41.4K records2020

OpenFlights Airport Route Network Analyzed

A OpenFlights.org airport route database dataset of 3,425 nodes and 37,595 edges, collected by OpenFlights.org. Each record contains directed: True, weighted: True. Directed network of airports connected by flight routes — nodes are airports, edges are direct routes.. Suitable for transportation network analysis, network robustness, hub detection.

3.4K records3.4K nodes37.6K edges2013

YouTube Travel Videos Metadata Index Analyzed

A YouTube (Travel Videos Metadata Index) dataset of 2,267 travel-related YouTube video records, collected by Samuel & Audrey Media Network via YouTube API (2026). Each record contains video titles, descriptions, region tags, topic tags, view counts, publication years, and validity flags. The dataset is notable for its metadata-only index designed for travel video archive search, regional coverage analysis, and linking video records with transcript datasets and destination research. Intended for research into tourism communication research, creator-media analysis, regional coverage analysis, and retrieval workflows across travel videos, transcripts, and article corpora.

2.3K records2026