Multi-Account Management
Keep dozens of social accounts logged in at once without tripping risk controls — each profile gets its own consistent exit IP.
Use Cases
Sample public pages, directories and category listings in the country you are studying, so the dataset describes that market rather than the office network.
Rankings, assortments, currencies and recommended modules change with the country of the request. Pulling ten markets through one datacenter region produces a tidy sheet that mostly describes that region.
Give every target country its own residential exits and a fixed field list. Repeat on the same weekday so a change in Germany can be compared with a change in Japan, not with a change in your crawl schedule.
Write down the countries and the kinds of public pages each one needs: category, listing, or directory.
A French sample should leave from French residential IPs, with French language headers.
Collect the same columns in every market so the comparison is about the market, not the parser.
A weekly run is enough for most category research. Keep the interval steady.
Keep dozens of social accounts logged in at once without tripping risk controls — each profile gets its own consistent exit IP.
See the real, localized search results your customers see — from any country or city — and track rankings and competitor visibility without personalization noise.
Collect public web data at high concurrency with automatic rotation, retry on failure and geographic coverage that matches your target markets.
Put reliable infrastructure behind your data operation and let it scale with you.
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