Collect market and financial data
Financial sources throttle hard, and a throttled feed is a late feed. On market data, late is the same as wrong.
Spreading collection across a pool keeps every source inside its own per-IP budget while your aggregate refresh rate goes up.
What gets in the way
Quote pages and public APIs cap requests per address. One address means one refresh rate, whatever your infrastructure can do.
Exchanges, filings and financial portals restrict or reformat by country. Local exits get the local feed.
A blocked address mid-session leaves a hole in the series, and gaps in time series are expensive to repair.
How Rainproxy handles it
- Rotate across the pool so each source sees a modest request rate.
- Datacenter exits where the source is permissive and latency matters most.
- Residential exits for portals that filter hosting ranges.
- Uncapped concurrency so refresh frequency scales with your workers.
Lowest latency and cost for sources that do not filter hosting ranges.
See plans and pricingRead the Market data guideQuestions people ask
Start with datacenter, since it is faster and cheaper. Move the sources that block you onto residential rather than moving everything.
Datacenter exits typically add tens of milliseconds. Residential depends on the exit and is better suited to scheduled pulls than to tick data.
Yes, country and city targeting apply across the pools.
Start with 250 MB on us
Sign up with Google and test the pool on your own targets before you pay anything.