Tavily Competitor News & Pricing Radar
Pricing
Pay per usage
Tavily Competitor News & Pricing Radar
Continuous market and competitor intelligence radar. Scans rival price moves, product launches, partnerships, and executive departures with time-bounded news filters ($0.030/run).
Pricing
Pay per usage
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Continuous market intelligence tracker scanning rival pricing modifications, product launches, partnerships, and executive departures with time-bounded news filters.
💡 The Problem Solved
Maintaining continuous visibility into rival business actions is essential for modern e-commerce, SaaS, and enterprise strategy teams. However, traditional market intelligence software (such as Klue or Crayon) costs $1,500 to $5,000+ per month, requiring long-term annual contracts. Meanwhile, manual Google Alerts and PR searches produce overwhelming noise, missed pricing revisions, and stale signals.
Tavily Competitor News & Pricing Radar solves this by providing automated, high-precision competitive monitoring on demand:
- Zero Monthly Subscription: Pay only $0.030 per radar scan via Apify Pay-Per-Event (PPE).
- Time-Bounded Precision: Filter by
day(24h),week(7d), ormonth(30d) to eliminate irrelevant historical archives. - Action-Focused Category Filters: Zoom into pricing updates, product rollouts, partnerships, or leadership changes.
- Automatic Strategic Impact Scoring: Every signal is automatically scored as 🔴 HIGH, 🟡 MEDIUM, or 🔵 INFO.
- Dual Deliverables: Clean JSON pushed to the Apify Dataset for automated pipelines, plus an executive Markdown report (
RADAR_DIGEST.md) ready for Slack, email, or executive review.
💰 Transparent Pay-Per-Event (PPE) Pricing
No monthly minimums, no seat licenses, and zero subscription commitments. You are charged strictly per completed radar scan:
| Billable Event | Unit Price | Description |
|---|---|---|
competitor_radar_run | $0.030 USD | Full competitor radar scan across all designated targets with signals dataset and RADAR_DIGEST.md |
radar_scan_completed (alias) | $0.030 USD | Event alias for completed radar scan executions |
If validation fails prior to execution, you are charged $0.00.
📥 Input Parameters
Configure via the Apify Web Console or pass JSON directly via API:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
competitors | array | Yes | ["Shopify", "BigCommerce"] | List of competitor company or brand names to monitor. |
tracking_category | string | No | "all" | Filter corporate action: "all", "pricing_discounts", "product_launches", "partnerships", "executive_moves". |
time_range | string | No | "week" | Time window: "day" (24 hours), "week" (7 days), "month" (30 days). |
include_domains | array | No | [] | Specific news sites to prioritize (e.g. ["techcrunch.com", "bloomberg.com", "prnewswire.com"]). |
exclude_domains | array | No | [] | Specific domains to omit (e.g. ["reddit.com", "pinterest.com"]). |
max_items_per_competitor | integer | No | 5 | Maximum signals to retrieve per competitor (1 to 15). |
Sample Input JSON
{"competitors": ["Shopify", "BigCommerce", "WooCommerce"],"tracking_category": "pricing_discounts","time_range": "week","include_domains": ["techcrunch.com", "prnewswire.com", "reuters.com"],"max_items_per_competitor": 3}
📤 Output Format
1. Default Dataset Record
Every captured market signal is emitted as an individual record in the Apify Default Dataset:
{"competitor": "Shopify","headline": "Shopify Introduces New Cross-Border Merchant Pricing Tiers","url": "https://techcrunch.com/2026/10/16/shopify-cross-border-fees","summary": "Shopify announced updated commission schedules for cross-border retailers, introducing automated currency conversions.","category": "pricing_discounts","strategic_impact": "high","relevance_score": 0.942,"published_date": "2026-10-16","time_range": "week","detected_at": "2026-10-18T18:15:00.000Z"}
2. Key-Value Store: RADAR_DIGEST.md
A Markdown report saved under RADAR_DIGEST.md ready for export or Slack distribution:
# Competitor News & Pricing Radar Digest**Generated:** 2026-10-18 18:15:00 UTC | **Time Horizon:** week | **Tracking Category:** pricing_discounts**Monitored Competitors (2):** Shopify, BigCommerce**Signal Tally:** Total: **3** | 🔴 High: **2** | 🟡 Medium: **1** | 🔵 Info: **0**---## Executive Summary- Monitored **2** competitors over time window **week**.- Detected **2** high-priority strategic signals (price alterations, leadership shifts, M&A).---## Competitor Signals Breakdown### Shopify (2 signals)| Impact | Category | Headline & Source | Date | Relevance || :---: | :--- | :--- | :---: | :---: || 🔴 HIGH | Pricing Discounts | [Shopify Introduces New Cross-Border Pricing](https://techcrunch.com/...) | 2026-10-16 | 0.94 || 🔴 HIGH | Pricing Discounts | [Shopify Adjusts Enterprise Tiers](https://reuters.com/...) | 2026-10-15 | 0.91 |### BigCommerce (1 signals)| Impact | Category | Headline & Source | Date | Relevance || :---: | :--- | :--- | :---: | :---: || 🟡 MED | Partnerships | [BigCommerce Partners with Global Merchant Logistics](https://example.com/...) | 2026-10-14 | 0.93 |
⚡ Integration Guides
Python (apify-client)
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_API_TOKEN")# Trigger competitor news scanrun = client.actor("your-username/tavily-competitor-news-radar").call(run_input={"competitors": ["Stripe", "Adyen"],"tracking_category": "pricing_discounts","time_range": "week","max_items_per_competitor": 5,})# Fetch signals from datasetdataset_items = client.dataset(run["defaultDatasetId"]).list_items().itemsfor signal in dataset_items:print(f"[{signal['strategic_impact'].upper()}] {signal['competitor']}: {signal['headline']}")# Fetch Markdown Digestdigest = client.key_value_store(run["defaultKeyValueStoreId"]).get_record("RADAR_DIGEST.md")print(digest["value"])
Make.com (Integromat)
- Add an Apify module -> Run an Actor.
- Select
tavily-competitor-news-radar. - Map competitor lists from Airtable, Notion, or CRM tables into
competitors. - Add a downstream Slack or Microsoft Teams module posting
RADAR_DIGEST.mdto your executive channel.
Zapier
- Trigger: Schedule by Zapier (e.g. Every Monday at 8:00 AM).
- Action: Apify -> Run Actor with
tavily-competitor-news-radar. - Downstream Action: Send Email via Gmail or Create Notion Page populated with the detected dataset signals.
cURL
curl -X POST "https://api.apify.com/v2/acts/your-username~tavily-competitor-news-radar/runs?token=YOUR_API_TOKEN" \-H "Content-Type: application/json" \-d '{"competitors": ["Shopify", "BigCommerce"],"tracking_category": "all","time_range": "week"}'
🛡️ Strategic Impact Classification
Signals are evaluated against an automated strategic impact scoring matrix:
- 🔴 HIGH: Explicit price jumps, fee tier changes, CEO/CFO departures or appointments, M&A acquisitions, restructuring, or legal controversies.
- 🟡 MEDIUM: Major feature releases, platform integration announcements, strategic commercial partnerships, or regional expansions.
- 🔵 INFO: General press releases, interview commentary, awards, and minor platform patches.
⚖️ License & Attribution
Distributed under Apache-2.0. Powered by Apify Actor SDK and Tavily AI Search.