Social Fetch vs Tavily
Tavily answers "what does the web say about X?" with ranked, LLM-ready search results. Social Fetch answers "what is this TikTok or Instagram account right now?" with normalized profile JSON. Agent builders often need both; they are not substitutes.
- Primary job
- Structured social media lookupsReal-time web search for AI agents
- Output
- Normalized social JSON + meta envelopeRanked search results / extracted passages
- Pricing
- From $1.35/1k; PAYG credits never expire1,000 free credits/mo; PAYG ~$0.008/credit; Project plan ~$30/mo
Teams running monitoring, research, and enrichment pipelines
Why Social Fetch
Why teams switch from Tavily.
What changes when your social lookups move to one REST API.
One API for 25 platforms
TikTok, Instagram, YouTube, LinkedIn, Reddit, X and more behind one key and one schema — no separate Tavily setup per network.
Pricing you can reason about
One completed lookup, one price. Failed lookups aren't billed, so you know how far a balance goes.
JSON in the same request
Fetched live when you ask and returned in the response — ~3.2s on average, no job to poll.
No scraper maintenance
We handle proxies, browser changes, and platform breakages.
Built for production jobs
Run concurrent workloads with explicit statuses and request IDs.
Pay as you go, or save monthly
Start with 100 free credits and no subscription. Pay-as-you-go credits never expire; running lookups every month? A monthly plan gets you lower per-credit rates.
What teams build with Social Fetch
Monitoring, enrichment, research and content workflows — the jobs teams run on Tavily, as plain API calls.
Monitor brands and competitors
Watch accounts on a schedule and get a signed webhook when something new posts.
Find and vet creators
Check reach and engagement before you reach out.
Turn video into searchable text
Transcribe and index video and audio content so you can find the exact moment you need.
Track public communities
Follow the subreddits, groups, and channels where your audience talks.
Search credits vs social lookup credits
Tavily: 1,000 free credits/mo; basic search ~1 credit, advanced ~2; PAYG ~$0.008/credit. Social Fetch: ~$1.64/1k social lookups on non-expiring packs. Different unit of work.
1,000 basic web searches
- Social Fetch
- N/A — not a search API
- Tavily
- ~$0–$8 (free tier then ~$0.008/credit)
1,000 TikTok profile lookups
- Social Fetch
- ~$1.64
- Tavily
- N/A as structured social — search + hope
Credits roll over?
- Social Fetch
- Yes on PAYG packs
- Tavily
- Monthly allotment resets
Best fit workload
- Social Fetch
- Entity lookups on social networks
- Tavily
- Agent research across the open web
| Scenario | Social Fetch | Tavily |
|---|---|---|
| 1,000 basic web searches | N/A — not a search API | ~$0–$8 (free tier then ~$0.008/credit) |
| 1,000 TikTok profile lookups | ~$1.64 | N/A as structured social — search + hope |
| Credits roll over? | Yes on PAYG packs | Monthly allotment resets |
| Best fit workload | Entity lookups on social networks | Agent research across the open web |
Tavily prices checked 21 July 2026. How we priced this, with sources
Pricing
Social data, priced simply.
Start with 100 free credits. Monthly plans give you predictable volume and lower per-request rates.
Starter
1,000credits
$14.00 per 1k · $0.0140 per request
- Prove one workflow before you buy more
- All 25 platforms on one API key
Growth
25,000credits
$2.36 per 1k · $0.00236 per request
- For a project or one-off batch job
- Better per-credit rate than the Starter pack
Scale
230,000credits
$1.64 per 1k · $0.00164 per request
- For a large one-time job
- Best pack rate of the three — includes bonus credits
Need 1M+ credits, invoicing, or volume rates? Talk to us
Trust signals
DevHunt
Product Hunt
Uneed
Social Fetch vs Tavily, side by side.
How each product expects you to integrate, what you're billed for, and which capabilities come as standard.
Primary job
- Social Fetch
- Structured social media lookups
- Tavily
- Real-time web search for AI agents
Output
- Social Fetch
- Normalized social JSON + meta envelope
- Tavily
- Ranked search results / extracted passages
Pricing
- Social Fetch
- From $1.35/1k; PAYG credits never expire
- Tavily
- 1,000 free credits/mo; PAYG ~$0.008/credit; Project plan ~$30/mo
Instagram profile by handle
- Social Fetch
- Dedicated REST route
- Tavily
- Search the web — not a social schema
Open-web research query
- Social Fetch
- Wrong tool (use web fetch sparingly)
- Tavily
- Core product
Social catalog
- Social Fetch
- 264 ops / 25 platforms
- Tavily
- Web index — not a social endpoint catalog
| Row | Social Fetch | Tavily |
|---|---|---|
| Primary job | Structured social media lookups | Real-time web search for AI agents |
| Output | Normalized social JSON + meta envelope | Ranked search results / extracted passages |
| Pricing | From $1.35/1k; PAYG credits never expire | 1,000 free credits/mo; PAYG ~$0.008/credit; Project plan ~$30/mo |
| Instagram profile by handle | Dedicated REST route | Search the web — not a social schema |
| Open-web research query | Wrong tool (use web fetch sparingly) | Core product |
| Social catalog | 264 ops / 25 platforms | Web index — not a social endpoint catalog |
| Capability | Social Fetch | Tavily |
|---|---|---|
| Synchronous REST JSON (no actor run polling) | ||
| One API key for all platforms | ||
| Unified schema across platforms | ||
| Public OpenAPI specification | ||
| Official TypeScript SDK | ||
| Interactive API playground | ||
| TikTok, Instagram, YouTube, LinkedIn, Facebook, Reddit, X in one vendor | ||
| Pay-as-you-go without required monthly subscription | ||
| PAYG credits never expire | ||
| Web fetch (markdown/HTML) in same product | ||
| Scheduled account / feed monitors | ||
| Signed webhooks when watched accounts post |
Customers
Teams building on Social Fetch.
“Our TikTok and Instagram scrapers broke constantly. Social Fetch took us off that rotation — we ship product again.”
“Transcripts at volume from one endpoint. No broken scrapers for our small team to maintain.”
“Live profile data on every request. We never flag accounts from a stale cache.”
“Heavy concurrent load, no rate limits to negotiate. The rare API I haven't wrapped in retries.”
Which one should you pick?
If the Tavily list sounds like you, Tavily is probably the better buy — and that's fine.
Pick Social Fetch if…
- Known social entities: profiles, posts, comments, transcripts
- Product UIs that need typed fields, not search prose
- Multi-platform social coverage under one key and envelope
Pick Tavily if…
- AI agents that need open-web search with LLM-ready snippets
- Research / RAG flows where the query is a question, not a social handle
- Framework defaults that already wire Tavily as the search tool
Social Fetch vs Tavily: common questions
Migration, billing surprises, and what changes when you add a second platform.
Can Tavily replace Social Fetch?
No for structured social data. Search can surface pages about a creator; it does not replace a profile endpoint with normalized metrics and lookupStatus.
Can Social Fetch replace Tavily?
No for open-web agent search. Our web utilities fetch pages you already have URLs for; they are not a ranked web search index.
Which should I put in my agent by default?
If the tool argument is a search query, Tavily (or Exa). If the tool argument is a social handle or post URL, Social Fetch.
The detailed Social Fetch vs Tavily comparisonHow Tavily works, where the costs come from, and when to keep it.
Search API and social API solve different questions
Tavily is optimized for agents that need fresh web context: deduplicated results, tunable search depth, content shaped for tokens. That is why it shows up in LangChain defaults and agent frameworks.
Social Fetch is optimized for entities that live on social networks. You already know the handle or URL. You need followers, bios, posts, comments, transcripts — fields with types, not a paragraph the model paraphrases from a SERP snippet.
If you ask Tavily for "charli d'amelio follower count," you might get a page that mentions a number. If you ask Social Fetch for the TikTok profile, you get a typed field from a live lookup. Accuracy and product UX diverge immediately.
Most serious agents should use both
A support agent researching a brand: Tavily for news and docs, Social Fetch for the brand's LinkedIn and Instagram state. A creator CRM: Social Fetch for roster enrichment, Tavily for "what did the press say this week."
Buying only Tavily and scraping social URLs out of search results is how you re-implement a worse social API. Buying only Social Fetch and hoping it answers open-web questions is how you stretch web fetch past its job.
Do not rank vendors by dollars per thousand blindly
Tavily at ~$8 per 1,000 basic searches and Social Fetch at $1.64 per 1,000 social lookups are not competing SKUs. One thousand Tavily credits will not produce one thousand Instagram profile objects. One thousand Social Fetch credits will not produce one thousand web research answers.
Budget each line for the workload that consumes it. Ownership note for procurement: Tavily was acquired by Nebius in 2026 — roadmap and packaging can shift under a new parent. Social Fetch remains a focused social API vendor.
Bottom line: Search vs social — pick for the question you ask
Tavily is a strong AI search API. Social Fetch is a strong social data API. Use Tavily when the input is a research question. Use Social Fetch when the input is a social handle or post URL. Agents that need both should call both — not force one vendor to fake the other's job.
Methodology and sourcesHow we priced each scenario, and where every Tavily figure comes from. Checked 21 July 2026.
Sources
Tavily pricing from tavily.com/pricing (July 2026). Project plan slider and enterprise quotes vary; confirm credit costs for basic vs advanced search in their docs before budgeting.
Tavily is a trademark of its owner. Social Fetch is not affiliated with, endorsed by or sponsored by Tavily. Details about Tavily come from public sources checked on 21 July 2026.
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