Collect fashion trend reference images

Trend research is comparison over time. You watch many feeds, note what changed, and hope your memory is accurate. To download images for fashion trend research at useful scale, you need recurring captures you can diff, not a folder of unrelated screenshots.

Bulk Image Downloader From URL List monitors live pages, deep-scans lookbooks, compares sessions week over week, and runs locally in your browser.

Step 1: monitor feeds that update constantly

• Continuous Scanning watches a page and adds images as new looks load
• Deep Scan captures full editorial spreads behind lazy scroll
• Bulk URL scrape sweeps a roster of brand and retailer URLs (set max URLs and delay)
• Saved Rules with custom selectors for sites that hide grids behind specific markup

Step 2: compare sessions to see what shifted

Save each week’s pull as a scraper session. Use compare sessions to see images a retailer added or removed between visits. That diff is the signal: new silhouettes, expanding color stories, dropped categories.

Export sessions as JSON to archive a research timeline or share with a buying team. Everything stays on your machine unless you choose to export it.

Step 3: filter noise before analysis

• minimum size filters drop icons and tiny product crops
• aspect-ratio filters separate full looks from detail shots
• URL text filters isolate one collection or season path
• exact URL dedupe, then perceptual duplicate finder for the same look at different CDN sizes

Step 4: organize for the buying calendar

• auto folders sort by retailer domain or season token in the URL
• Filename Constructor date or sequence tokens keep weekly pulls sortable
• export scrape CSV for analysts who work in spreadsheets
• save the task so filters and URL lists rerun identically each cycle

Rights and competitive intelligence

Trend boards are internal research tools. Images remain subject to site terms and copyright. Use captures for analysis and inspiration inside your organization, not for republishing lookbook photos as your own creative.

Install the extension when patterns should emerge from diffs, not from memory.

Compare sessions across weeks

Fashion research is a comparison job, so the useful output is the change. Save each week’s pull as a session, then use session comparison to see what a retailer added or removed since the last capture. That diff is the signal: a new silhouette, a colour story that expanded, a category that quietly disappeared.

Filter before you analyse

Set a minimum size to drop icons and tiny product crops, use aspect-ratio filters to separate full looks from detail shots, and use URL text filters to isolate one collection or season path. Run exact URL deduplication first, then the perceptual duplicate finder for near-matches. Tidying at collection time is faster than tidying a folder later.

Save the pull as a rule for next season

When a retailer’s gallery layout is stable, save the scan setup as a rule so next month’s capture starts from the same filters and page settings. The comparison is only as good as the consistency of the two pulls, and a saved rule is what keeps them consistent.

Continue reading: Download Images for Nonprofit Campaigns.