Pinterest Trends
Pricing
from $2.00 / 1,000 results
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Pinterest Trends
Pricing
from $2.00 / 1,000 results
Market to pull trends for. Pinterest reports some smaller markets only as a region — pick the country and the Actor maps it to the region Pinterest publishes (for example Australia becomes AU+NZ).
Restrict trends to Pinterest's top-level interest categories. Leave empty for all interests. Selecting several runs one query per interest so every result row shows which interest it came from.
[]Restrict trends to a seasonal event or shopping moment (Halloween, Black Friday, Ramadan …). Leave empty for no event filter. Events that the chosen country does not celebrate are skipped with a warning, and an event well outside its season usually returns nothing.
[]Which ranking to pull. 'Top monthly' is the established leaders, 'Growing' surfaces terms climbing fastest right now, and 'Seasonal' surfaces terms peaking for the time of year.
How many trending terms to return per query. The API caps this at 100.
Report trends as of this date (YYYY-MM-DD). Leave empty to use the most recent date Pinterest has data for — its dataset normally runs a few days behind.
How far back the ranking looks when scoring a term. Leave empty for the API default.
Only return terms containing one of these words.
[]Drop terms containing any of these words.
[]Off (default): run one query per interest × event pair so every row is attributable to a specific filter. On: send the whole selection in a single query, which is cheaper but returns one blended ranking.
Fetch the weekly search-volume curve for every term and save it to the key-value store. Adds roughly one request per five terms.
Fetch the age and gender split of the audience searching each term, saved to the key-value store.
Fetch keywords Pinterest considers adjacent to each term. Costs one extra request per term, so it is slow on large runs.
How much history to pull for search-volume and demographics.
Parallel requests. Pinterest returns HTTP 429 quickly, so keep this low unless you run through a proxy.
How many times to retry a failed or rate-limited request before giving up on it.