10k quota burns out fast
The official YouTube Data API v3 caps you at 10,000 quota units per day. A single search costs 100 units, so you get roughly 100 searches before production grinds to a halt.
Search videos, pull channel uploads, and read comments through one REST API that returns normalized JSON. No 10,000-unit daily quota, no Google audit, no scrapers or proxies — usage-based pricing you can ship today.
const res = await fetch( "https://api.socialiq.dev/v1/youtube/posts/search?q=ai%20agents&sort=views&within=month&length=long", { headers: { Authorization: "Bearer sc_live_..." } });// Long AI-agent videos from the past month, sorted by views, as normalized JSONconst { data, page, source } = await res.json();
Approval queues, quotas, and brittle scrapers stand between your agents and YouTube data. SocialiQ removes them.
The official YouTube Data API v3 caps you at 10,000 quota units per day. A single search costs 100 units, so you get roughly 100 searches before production grinds to a halt.
Want more headroom? You file an audit form and wait — weeks to months for review, with approval gated on use case, policies, and workloads that don't look like bulk collection. No guarantee you'll get it.
Instead of building, your team rations calls, tracks unit costs per endpoint, and juggles multiple Cloud projects to stretch the cap. That's engineering time spent on a budget, not a feature.
Real YouTube coverage on SocialiQ — each capability is a single normalized REST call.
Search videos with sort (relevance, recent, views, rating), time window (hour to year), length, and type filters.
/v1/youtube/posts/searchFetch a single video by ID with normalized metadata, stats, and author fields.
/v1/youtube/posts/{id}Pull a channel's videos by handle to track output over time.
/v1/youtube/users/{handle}/postsRead a video's comments as normalized JSON — no separate quota math per thread.
/v1/youtube/posts/{id}/commentsGet a video's media assets and stream details in one call.
/v1/youtube/posts/{id}/mediaSurface videos related to a given ID for discovery and recommendation graphs.
/v1/youtube/posts/{id}/relatedOne request
Authenticate with a single SocialiQ key and hit one REST endpoint. The response is the same envelope you get on every platform — so your agents parse YouTube exactly like the rest.
const res = await fetch( "https://api.socialiq.dev/v1/youtube/posts/search?q=ai%20agents&sort=views&within=month&length=long", { headers: { Authorization: "Bearer sc_live_..." } });// Long AI-agent videos from the past month, sorted by views, as normalized JSONconst { data, page, source } = await res.json();
Point your agents at one endpoint and ship — SocialiQ runs the upstream access, retries, and normalization for YouTube.
Videos, channels, and comments come back in a consistent shape across every platform SocialiQ covers — no per-resource response wrangling, no v3 part flags to memorize.
Skip the 10,000-unit ceiling and the Google audit-and-extension form. Usage-based pricing scales with your real workload instead of a daily budget.
You don't manage a Google Cloud project, OAuth screens, or proxy pools. One SocialiQ key, no platform credentials to provision or rotate.
Predictable routes and normalized fields make it clean to wire into AI agents and tool calls — point your agent at the endpoint and let it fetch.
What SocialiQ's YouTube API does and how it compares to the official one.
It's a normalized alternative, not a 1:1 mirror. SocialiQ covers the high-value reads — video lookup, video search with filters, channel uploads, comments, media, and related videos — through one REST API with consistent JSON. If your workload is search, channel monitoring, and comment analysis, it replaces the v3 calls that burn the most quota.
SocialiQ doesn't use your Google quota at all. You call our API with a SocialiQ key and pay by usage, so there's no 100-units-per-search math and no daily ceiling to ration against. No Google Cloud project or audit form required.
Yes. The search endpoint supports sort by relevance, recent, views, or rating; a time window from hour to year; length as short, medium, or long; and type as video, channel, or playlist — all on one route, returning normalized JSON.
Yes. Call GET /v1/youtube/posts/{id}/comments to read a video's comments as normalized JSON. There's no separate quota cost per thread to budget for, which makes large-scale comment analysis practical.
One key, normalized JSON, usage-based pricing. No approval, no scrapers.