Agentic Pricing Strategist
Pricing
from $1.00 / 1,000 results
Go to Apify StoreUnder maintenance
Agentic Pricing Strategist
AI‑driven pricing strategist that scrapes competitor product pages, analyzes market data, and generates optimized pricing recommendations and structured report for your e‑commerce products.The actor is built for founders product managers and growth teams who need fast repeatable pricing experiments.
Pricing
from $1.00 / 1,000 results
Rating
5.0
(1)
Developer
Sami Ullah
Maintained by Community
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
17 days ago
Last modified
Categories
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You can view the data in the Apify dataset UI or fetch it via API.
Requirements and setup
-
APIFY_TOKEN with permissions
- The actor requires
APIFY_TOKENto be set in Settings → Environment variables. - The token must have permission to run the underlying scraping actor (e.g.
apify.amazon-product-scraper) and to write to datasets.
- The actor requires
-
Input schema
- The actor uses an input schema to validate fields like
platforms,products, andcurrency. - In the Apify UI, the input form is generated automatically from
.actor/input_schema.json.
- The actor uses an input schema to validate fields like
-
Dataset schema
- The dataset schema defines fields:
platform,currency,pricing_strategy,report,pdf_key. - Validation ensures that each dataset item matches this structure.
- The dataset schema defines fields:
Typical use cases
- Testing new prices before a major campaign or seasonal sale.
- Monitoring competitor price moves and getting suggested responses.
- Generating PDF pricing reports for stakeholders or clients.
- Running scheduled pricing reviews for a catalogue of products.
Limitations and notes
- The quality of recommendations depends on the quality and stability of the source product pages and the upstream scraping actor.
- Some sites may block scraping; in such cases, fields in the
reportmay be incomplete. - The actor does not automatically update prices on marketplaces; it focuses on analysis and recommendations. You can wire the output into your own repricing or listing tools if needed.
Development
- The workflow graph is implemented with LangGraph.
- Nodes:
collection_agent– calls the scraping actor and collects raw data.analysis_agent– performs AI analysis and pricing strategy.reporting_agent– builds the finalreportand optional PDF.
To run locally:
