Stages to scrape video files in 2025
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Ludicrously, the internet, once born as unified “storage” for text-based files, turned into a video consumption machine. Last year, video watching activities made up 65% of the WWW traffic, in comparison with a 51% share in 2016. The expansion is explainable:
- Six years sufficed for Wi-Fi connection speeds to rise from 30 Mbps in 2018 to almost 92 Mbps in 2023.
- Apart from Wi-Fi, if one views the Net tempo rates from all standpoints, connection paces hit 47 Mbps in 2023, in contrast with 25 Mbps in 2020.
Combine these two facts with the proliferation of devices and covered zones in 2025. Add the simplicity and convenience of video entertainment, as opposed to texts for many. Switching to videos becomes self-evident. One implies not only dominating YouTube that Dexodata helps scrape through YouTube proxies, but also Instagram, TikTok, X, Weibo, etc., tackled by means of our social media proxies, too.
At Dexodata, we see how web scraping gets concentrated on video content. Today, based on past experiences, our team will tell how enormous lengths of moving pictures transform, step-by-step, into coherent, structured, comprehensible datasets. Obtained with advanced scrapers and geo targeted proxies, AI-driven assessment pipelines absorbing three video components.
Web scraping revisited
Let's revisit the notion of web scraping. Typical web scrapers work with letters, figures, symbols, i.e. elements constituting texts. The video age reinvents data handling practices. Data extraction tools still work with text blocks, but at a new technological level. Accentuate the difference: to scrape a post, one:
- Launches social media proxies
- Sets parsing tools in motions
- Grabs and arranges content.
With videos in 2025 approaches are of advanced complexity.
Video scraping flow
Collecting video-specific content implies three directions:
- Classical scraping focused on meta data. Dexodata’s internal estimates suggest that roughly 5–10% of brand mentions get displayed by video metadata. Good-old scraping ways rise to the occasion. The remaining share is embedded within the video content itself.
- The moment has arrived to zoom in on audio. A single minute of video with continuous speech contains 125–150 words. This is more challenging, but speech recognition technologies are powerful enough already.
- Video content analysis is the hardest part. A regular video has 24 frames per second. 60 seconds give 1,440 images to analyze. This presents a technical challenge requiring advanced engineering, AI capacities, geo targeted proxies, intelligent extraction mechanisms, and well-coded analyzers.
Phases concerning large-scale video web scraping
To properly handle big video data in 2025, web scraping specialists require a combo of:
- Resilient scraping solutions, capable of functioning flexibly and continuously.
- Reliable, self-adjusting, scalable IP pools for buying residential and mobile proxies. Their mission is to maintain ceaseless, seamless web scraping routines in real-time. Among others, Dexodata is a direction to explore.
- Economically adequate video-and-audio-assessment engines, processing large-scale volumes of video data, given high computational demands.
Only when the entire system is workable can you scrape videos. A checklist: web scraping programs, geo targeted proxies (serving as social media proxies for, say, X content, or YouTube proxies), data-specific ETLs. Ensuing steps involve these:
- Divide pieces into images, sounds through video fracturing.
- Scan items, environments, trademarks, textual information segments through image inspection.
- Convert speech to text. Examine audio for spoken language, emotional tone, references to brands through research.
Regarding us, we guarantee uninterrupted scraping flows even for far-reaching data-intensive video scraping undertakings. All thanks to smart proxy rotation — by timers, with each new query, by direct dashboard links. You get exactly this when buying residential and mobile proxies priced at $7.3 and $13.14 per 1 GB on Dexodata in 2025.
