SocialCrawl

Recipes

Eleven working recipes that solve real cross-platform tasks. Brand monitoring, sentiment analysis, competitor tracking, TikTok analytics, transcripts, ad aggregation, engagement scoring, music trends, sound tracking, and hybrid search.

Each recipe solves one task end to end and tells you what it costs before you run it. The snippets are TypeScript that runs on Node 22+, uses native fetch, and reads SOCIALCRAWL_KEY from the environment, except the sound-tracking recipe, which is a Monitor created with one cURL call. The handles, queries, and URLs are real.

New to the API? Quickstart takes five minutes.

Pick a recipe

RecipeWhat you'll buildCost per run
Brand mention monitoringDaily brand-mention sweep across 15 platforms20 credits
Social listening pulse-checkStreaming search over 15 platforms with comments enriched20 credits
Sentiment analysisSocial sentiment pipeline feeding an LLM23-35 credits
Competitor trackingCross-platform competitor account snapshots8 credits per competitor
TikTok analytics dashboardProfile, video, and comment metrics with engagement rates3 credits per refresh
Video transcriptionOne transcription function, seven platforms3-10 credits per video
Ad library aggregationParallel fan-out across three ad networks15 credits
Creator engagement scoringApples-to-apples engagement-rate ranking3 credits per creator
Music trend detectionCross-platform music heat score3 credits per song
Track sound growthA daily reel count for one sound, with a growth alert2 credits per day
Hybrid search-then-enrichUniversal search plus per-platform transcripts120 credits

Which recipe should I start with?

If you are evaluating SocialCrawl, start with Brand mention monitoring or the Social listening pulse-check. Both are a single call to GET /v1/search/everywhere, cost a flat 20 credits, and show the universal search endpoint that separates SocialCrawl from a web-search API.

If you already know which platform you need, TikTok analytics dashboard is the cheapest end-to-end example at 3 credits.

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