YouTube Autocomplete Keyword Scraper: a-z, questions, CSV/JSON
Pricing
$0.25 / 1,000 results
YouTube Autocomplete Keyword Scraper: a-z, questions, CSV/JSON
YouTube search suggestions as CSV/JSON rows at $0.25 per 1,000 dataset rows: seed, query sent, suggestion, rank, expansion (a-z, question words, prepositions; comparisons and numbers optional), language, country, stable id.
Pricing
$0.25 / 1,000 results
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Tallyrake Data
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YouTube autocomplete as CSV/JSON rows. Give it seed keywords; it requests suggestions for the seed, seed + a to z, question words, and prepositions (comparisons and numbers only if you enable those expansions), for the language you set. One flat row per unique suggestion per seed, each with a stable id. $0.25 per 1,000 dataset rows.
What you get
| Field | Example |
|---|---|
id | stable per seed, language, query and suggestion |
keyword | coffee grinder (your seed) |
query | coffee grinder b (the exact string sent) |
suggestion | coffee grinder burr |
rank | 1 (position in the engine's list for that query) |
expansion | direct, alphabet, question, preposition, comparison, number, depth |
modifier | b, how, for, vs |
depth | 1 or 2 |
language, country | en, us |
engine | youtube |
fetchedAt | ISO timestamp |
Rows are deduplicated per seed (case-insensitive), so a suggestion that appears under several modifiers is counted once, under the first query that produced it.
Where this sits on the shelf
Apify Store search for "youtube autocomplete", top 10 results on 2026-09-11, read from the Store API. Price is the pay-per-event charge per dataset item, converted to per 1,000 rows; users, runs and the failed-or-timed-out share are the Store's 30-day public stats for each listing.
| Listing | Users (30d) | Runs (30d) | Failed or timed out | Price per 1,000 rows |
|---|---|---|---|---|
| sian.agency/youtube-auto-complete-and-query-suggestion | 13 | 64 | 3% | $5.00 |
| johnatan029/keyword-trend-monitor | 1 | 15 | 0% | $0.05 |
| maged120/youtube-music-autocomplete | 0 | 29 | 0% | free |
| aitorsm/keyword-fanout | 17 | 68 | 0% | $0.05 |
| lofomachines/keyword-shitter-autocomplete-scraper | 0 | 31 | 0% | free |
| karamelo/youtube-keywords-shitter | 10 | 96 | 0% | free |
| solidcode/youtube-keyword-scraper | 4 | 37 | 0% | free |
| ninhothedev/youtube-keyword-scraper | 4 | 72 | 0% | $0.50 |
| maximedupre/youtube-keywords-discovery-tool | 3 | 63 | 0% | $2.65 |
| scrapemint/google-keyword-suggestions-scraper | 2 | 43 | 0% | $1.00 |
| tallyrake/youtube-autocomplete-scraper (this actor) | 0 | 1 | 0 of 1 | $0.25 |
Recipes
Content brief for one topic. Seeds: your topic. Expansions: questions, prepositions. Depth 1. Output: the questions and phrasings YouTube suggests for the topic, each with the engine rank on the query that first produced it (dedup keeps the first hit, not a single global order).
Keyword list for a niche. Seeds: 10 to 50 head terms. Expansions: alphabet. Depth 2. YouTube returns at most 10 suggestions per query, and maxQueriesPerKeyword (default 300) caps the requests per seed, so one seed can produce at most 3,000 dataset rows before dedup (at most $0.75 at $0.25 per 1,000). You are billed unique dataset rows, not queries; empty queries bill $0. For 10 to 50 seeds there is no measured run yet; start at concurrency 3 without a proxy and turn on Apify Proxy only if the log shows 429 or 403 responses.
Localized suggestions. Same seeds, language set per run. Rows carry the code so runs can be merged.
Brand and competitor monitoring. Seeds: brand names. Expansions: comparisons, questions. Schedule daily. Diff the suggestion column between runs.
Input
Paste seeds one per line. The default expansions send 52 queries per seed (1 seed + 26 letters + 14 question words + 11 prepositions = 52). Comparisons and numbers are not in that 52; they are extra expansions. One seed is not one billable unit: see the measured yield below for what 52 queries produced.
Reliability and cost
Measured on 2026-09-11 on Apify: 2 seeds (coffee grinder, pytrends 429), expansions alphabet + questions + prepositions (52 queries per seed), concurrency 3, no proxy, en/us: 104 queries produced 333 dataset rows (about 3.2 per query), 0 rate-limited responses, 13 seconds. That run bills $0.08 in results (333 rows at $0.25 per 1,000) plus $0.0020 of platform compute. Per seed in that run: coffee grinder 323 rows ($0.081), pytrends 429 10 rows ($0.003).
Pay per event: $0.25 per 1,000 dataset rows, plus Apify platform usage for the run. Empty queries produce no rows and no results charge. Every request is paced with a jittered delay (pacingMs, default 200 ms). If the engine answers 429 or 403, the run rotates its session and retries; that path was not exercised in the measured run.
Cost limit
If a run reaches the "Maximum total charge per run" you set, it stops in process rather than being aborted by the platform: the run ends with status SUCCEEDED, and the run status message on the run detail says how many rows were written and how many were found but not written and not billed. Re-running the same input writes and bills the same prefix again, so raise the cap before re-running if you want the rest. Measured on this actor on 2026-09-14: a $0.01 cap on a three-seed, all-expansions, depth-2 input wrote 40 rows (40 x $0.25 / 1,000 = $0.01) and reported 1,222 found but not written; a $0.05 cap on the one-seed default input (coffee grinder, 52 queries) wrote 200 rows ($0.05) and reported 123 found but not written.
Limits
This is YouTube's suggestion list for the language you set, at the time of the run. It carries no search volume; pair it with a Google Trends actor for demand. YouTube returns at most 10 suggestions per query. Export CSV for Excel and Google Sheets. Export JSON for pipelines.