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Social media search API: Reddit, X, TikTok, LinkedIn, YouTube and Instagram posts by keyword

social.search

live

Public posts matching a keyword on X, LinkedIn, Reddit, YouTube, TikTok, Instagram or Facebook: brand mentions, category conversations, competitor chatter.

live coverage

Hacker News Search: hackernews ✓

Apify: X ✓LinkedIn ✓Reddit ✓YouTube ✓TikTok ✓Instagram ✓Facebook ✓

✓ marks a combination proven with a real provider call. Others are wired and unit-tested; their first live run verifies them.

Providers

ProviderStatus
Hacker News Search live
Apify live
ScrapeCreators adapter next
twitterapi.io planned
TikHub adapter next

Billing

Unit: per_result · unmatched results billed: no
Priced per result by platform: X $0.0007 a post, LinkedIn $0.0035, Reddit $0.00245 a post in search, $0.07 a run plus $0.00665 a post for a subreddit or user (inspect lists every platform). The hold covers the requested limit; the charge covers the results returned, so fewer results cost less, and failures and empty results release the hold. No date filter: filter on created_at after the call. If the provider's actual cost overruns the estimate, the run bills the overrun at the same per-call rate, capped by the hold.

The exact quote is returned by /v1/inspect before every call and held with headroom on execution. The quote is the price floor: if the provider's actual cost overruns it, the run bills the overrun at the same rate, never above the hold. The unused part of every hold is released.

Run it

curl https://api.jell.run/v1/run \
  -H "Authorization: Bearer $JELL_API_KEY" \
  -d '{
    "capability": "social.search",
    "input": { "platform": "...", "query": "..." },
    "routing": {"provider": "auto"}
  }'

Input schema

{
  "properties": {
    "limit": {
      "default": 5,
      "type": "integer"
    },
    "platform": {
      "enum": [
        "x",
        "linkedin",
        "reddit",
        "youtube",
        "tiktok",
        "instagram",
        "facebook",
        "hackernews",
        "douyin",
        "threads",
        "weibo",
        "xiaohongshu"
      ],
      "type": "string"
    },
    "query": {
      "description": "Keyword, phrase or hashtag (Instagram searches hashtags)",
      "type": "string"
    }
  },
  "required": [
    "platform",
    "query"
  ],
  "type": "object"
}

Normalized output fields

posts

Used in these guides

Brand monitoring across web, social, news, reviews and AI answers →Competitor ad intelligence →Social profile, post and comment data (X, Reddit, LinkedIn, TikTok, Instagram, YouTube) →