Analyst Price Targets — Consensus & Ratings API

Sell-side analyst price targets, consensus ratings and recent upgrade/downgrade actions for US-listed stocks, parsed into clean JSON. Built for analysts, funds, fintech builders and AI agents. Factual public market data — not financial or investment advice. Not affiliated with any exchange, broker or data vendor.

📊 Sample Output

company_name	sector	industry	current_price	last_action_date	market_cap_usd
NVIDIA Corporation	Technology	Semiconductors	224.58	2026-09-21	5420000000000
Tesla, Inc.	Consumer Discretionary	Auto Manufacturers	377.94	2026-09-24	1490000000000
Apple Inc.	Technology	Consumer Electronics	335.92	2026-09-23	4900000000000

Real rows from run EZaA1HGqAg8BMfqNE on build 0.0.12 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
symbols (required)	array	["AAPL", "NVDA", "TSLA"]	Array of US-listed stock tickers to fetch analyst price-target data for. Examples: ['AAPL', 'NVDA', 'TSLA', 'MSFT']. Tickers are case-insensitive — they are upper-cased before loo…
limit	integer	0	Maximum number of analyst price-target records to return after all filters apply. Set to 0 to return every input symbol that passes the filters. Useful for testing on small batche…
min_upside_pct	number	-1000	Filter out names whose consensus target implies less than this percentage of upside vs current price. Use 20 for high-conviction longs, 50 for deep-value/distressed setups, or a n…
consensus_rating	string (all, Strong Buy, Buy, Hold, Sell, Strong Sell)	"all"	Filter records by sell-side consensus rating bucket. 'all' returns everything. Use 'Strong Buy' or 'Buy' to surface street-favorite names, 'Sell' or 'Strong Sell' to surface short…
include_recent_actions	boolean	true	If true, populates the 'recent_actions' field with up to 20 individual sell-side actions from the last 90 days: firm name, rating change, target change, action type (Upgrade/Downg…
min_n_analysts	integer	0	Drop records where fewer than this many analysts contribute to the consensus target. Use 5 to filter out thinly-covered micro-caps where one outlier dominates the mean. Use 15 to…

🧾 JSON sample record

One real record from run EZaA1HGqAg8BMfqNE (emails/phones masked, long text shortened):

{
  "symbol": "NVDA",
  "company_name": "NVIDIA Corporation",
  "sector": "Technology",
  "industry": "Semiconductors",
  "current_price": 224.58,
  "consensus_target_price": 327.7,
  "target_median": 315,
  "target_high": 515,
  "target_low": 180,
  "n_analysts": 59,
  "upside_pct": 45.92,
  "recommendation_mean": 1.3,
  "consensus_rating": "Strong Buy",
  "rating_buy_count": 58,
  "rating_strong_buy_count": 48,
  "rating_hold_count": 2,
  "rating_sell_count": 1,
  "rating_strong_sell_count": 1,
  "total_rated_analysts": 61,
  "recent_actions": [
    "Rothschild & Co Redburn maintained, to Buy, target $325.00 on 2026-09-21",
    "Bernstein maintained, to Buy, target $400.00 on 2026-09-21",
    "Goldman Sachs maintained, to Buy, target $300.00 on 2026-09-11",
    "Piper Sandler initiated, to Buy, target $300.00 on 2026-09-09",
    "Needham maintained, to Buy, target $300.00 on 2026-09-04",
    "William Blair maintained, to Buy on 2026-09-04",
    "Raymond James maintained, to Buy on 2026-09-03",
    "Rosenblatt Securities maintained, to Buy, target $390.00 on 2026-09-03"
  ],
  "n_recent_actions_90d": 8,
  "last_action_date": "2026-09-21",
  "market_cap_usd": 5420000000000,
  "yahoo_url": "https://finance.yahoo.com/quote/NVDA/analysis/",
  "stockanalysis_url": "https://stockanalysis.com/stocks/nvda/forecast/",
  "data_source": "stockanalysis_forecast",
  "fetched_at_utc": "2026-09-25T00:05:39.001845Z"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.01	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Analyst target record (apify-default-dataset-item)	$0.05	Charged per stock analyst target record returned with consensus, high/low, rating distribution, upside vs current price, and recent actions.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.05 = $5.00 plus the start fee.

🔗 Related Actors

More from the NexGenData SEC & US filings family:

• SEC 13F Holdings Delta Tracker — Quarter-Over-Quarter
• China A-Share Earnings Calendar — 财报日历 API
• China A-Share Insider Trades — 高管持股变动 API
• Dividend Aristocrats Tracker — 25+ Year Raisers API
• Earnings Calendar — Upcoming Report Dates API

49 more in this family on the NexGenData Store page.

📊 What you get

One record per ticker. Key fields (full output has 27 fields):

• symbol, company_name, sector, industry
• current_price — last close from the source quote
• consensus_target_price, target_median, target_high, target_low, n_analysts
• upside_pct — consensus target vs current price
• consensus_rating, recommendation_mean (1.0 = Strong Buy … 5.0 = Sell)
• rating_strong_buy_count / rating_buy_count / rating_hold_count / rating_sell_count / rating_strong_sell_count / total_rated_analysts
• recent_actions — individual sell-side actions from the last 90 days (firm, rating, target change, date), last_action_date
• market_cap_usd, stockanalysis_url, data_source, fetched_at_utc

Source: public stock forecast pages on stockanalysis.com, whose underlying providers are S&P Global Market Intelligence (consensus, targets, ratings distribution) and TipRanks (individual analyst actions). Every record carries a direct source link.

Pricing: $0.05 per record returned (Pay-Per-Event), plus the standard $0.01 Actor-start event. About 20 records per $1. Symbols with no published sell-side coverage are skipped and not charged.

🤖 Use with AI agents

Structured, source-linked analyst data for LLM and agent pipelines — point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it.

Sample agent prompt:

Give me the consensus price target and rating spread for a ticker.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

⏰ Run on a schedule

{
  "symbols": ["AAPL", "NVDA", "TSLA"],
  "include_recent_actions": true
}

✅ What happens when there is no data

• Empty symbols → the run succeeds with 0 rows and a message naming the missing field. Nothing is charged for data.
• A ticker the source does not list, or one with no published analyst coverage → that ticker is skipped and named in the run status message. No empty record is billed.
• The source blocked or unreachable → the run fails loudly with a message naming the cause, rather than finishing green with nothing in it.

---

Factual public market data — not financial or investment advice.