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Tavily Competitor News & Pricing Radar

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Tavily Competitor News & Pricing Radar

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).

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Continuous market intelligence tracker scanning rival pricing modifications, product launches, partnerships, and executive departures with time-bounded news filters.

Apify Actor Pricing Container LICENSE


💡 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), or month (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 EventUnit PriceDescription
competitor_radar_run$0.030 USDFull competitor radar scan across all designated targets with signals dataset and RADAR_DIGEST.md
radar_scan_completed (alias)$0.030 USDEvent 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:

ParameterTypeRequiredDefaultDescription
competitorsarrayYes["Shopify", "BigCommerce"]List of competitor company or brand names to monitor.
tracking_categorystringNo"all"Filter corporate action: "all", "pricing_discounts", "product_launches", "partnerships", "executive_moves".
time_rangestringNo"week"Time window: "day" (24 hours), "week" (7 days), "month" (30 days).
include_domainsarrayNo[]Specific news sites to prioritize (e.g. ["techcrunch.com", "bloomberg.com", "prnewswire.com"]).
exclude_domainsarrayNo[]Specific domains to omit (e.g. ["reddit.com", "pinterest.com"]).
max_items_per_competitorintegerNo5Maximum 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 ApifyClient
client = ApifyClient("YOUR_APIFY_API_TOKEN")
# Trigger competitor news scan
run = 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 dataset
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
for signal in dataset_items:
print(f"[{signal['strategic_impact'].upper()}] {signal['competitor']}: {signal['headline']}")
# Fetch Markdown Digest
digest = client.key_value_store(run["defaultKeyValueStoreId"]).get_record("RADAR_DIGEST.md")
print(digest["value"])

Make.com (Integromat)

  1. Add an Apify module -> Run an Actor.
  2. Select tavily-competitor-news-radar.
  3. Map competitor lists from Airtable, Notion, or CRM tables into competitors.
  4. Add a downstream Slack or Microsoft Teams module posting RADAR_DIGEST.md to your executive channel.

Zapier

  1. Trigger: Schedule by Zapier (e.g. Every Monday at 8:00 AM).
  2. Action: Apify -> Run Actor with tavily-competitor-news-radar.
  3. 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.