---
title: "Price monitoring API: dated price snapshots for your own tracker | datawebot"
url: https://www.datawebot.com/solutions/price-monitoring-api
description: "Monitor competitor prices with your own script or AI agent: every seller's price for a product, with shipping and a link, read when you ask. 1 credit a check, no subscription."
author: datawebot team
---

Use case Price monitoring

# Price monitoring API for your own tracker or agent.

datawebot returns dated price snapshots: every seller's price for a product, with shipping and a link, read when you ask. You schedule the checks and keep the history. It does not send alerts or store past prices; your script or agent does.

Updated November 3, 2026 · datawebot team

[Connect your agent](https://www.datawebot.com/docs/agents) · [One product, every seller's price](https://www.datawebot.com/solutions/price-comparison-api)

How it works

## Your schedule, datawebot's prices.

1. **List the products.** Search once for each product you watch and keep its product_id, or keep the product page URLs you already have. 5 credits a search.
2. **Check on a schedule.** Read each product with cron, GitHub Actions or your agent, as often as you need. Each read returns every seller's price, total with shipping, stock notes and a direct link, for 1 credit.
3. **Keep every snapshot.** Store each answer with the time it was read. datawebot does not keep history, so your database or spreadsheet is the price record.
4. **Decide what counts as a change.** Compare the new snapshot with the last one and flag the moves you care about: a new lowest seller, a price under your floor, a seller going out of stock.

What it costs

## 1 credit a check, no subscription.

Checking 100 products once a day for 30 days is 3,000 credits, about $3 at the smallest pack. The first 200 checks are free, and credits don't expire.

[See pricing](https://www.datawebot.com/pricing)

Run it

## From your agent or a script on a schedule.

In an agent, ask in plain words. In code, run the script below from cron or GitHub Actions; each run adds one dated row per seller.

MCP

### In your agent

Give this to your agent

```
set up https://mcp.datawebot.com/setup.md
```

Then ask

```
Use datawebot to check every US seller's price for the Sony WH-1000XM5 and add today's prices to prices.csv, with the time and the link for each seller.
```

[Competitor price tracking with an agent](https://www.datawebot.com/blog/competitor-price-tracking)

API

### In Python

track_prices.py

```
import csv, os, time
from datetime import datetime, timezone

import requests

API = "https://api.datawebot.com/v1/requests"
HEADERS = {"Authorization": f"Bearer {os.environ['DATAWEBOT_API_KEY']}"}
WATCHLIST = ["Sony WH-1000XM5", "Apple AirPods Pro 2"]

def ask(body):
    answer = requests.post(API, json=body, headers=HEADERS, timeout=120).json()
    while answer.get("status") == "working":  # finish a slow answer
        time.sleep(3)
        answer = requests.get(f"{API}/{answer['request_id']}", headers=HEADERS, timeout=120).json()
    return answer

now = datetime.now(timezone.utc).isoformat(timespec="seconds")
with open("prices.csv", "a", newline="") as f:
    out = csv.writer(f)
    for name in WATCHLIST:
        found = ask({"capability": "search", "query": name, "country": "US", "limit": 1})
        product = ask({"capability": "product", "product_id": found["products"][0]["product_id"]})
        for offer in product["offers"]:
            out.writerow([now, name, offer["shop"], offer["price"]["text"], offer["url"]])
```

[Full price tracker tutorial](https://www.datawebot.com/blog/price-tracker-python)

[Price monitoring guide](https://www.datawebot.com/blog/price-monitoring-guide-for-ecommerce) · [MAP monitoring](https://www.datawebot.com/solutions/map-monitoring)

FAQ

## Questions about datawebot

What is a price monitoring API?

An API that returns product prices as data, so a program can check them on a schedule and notice changes. datawebot returns dated snapshots: every seller's price for a product when you ask. Your script or agent decides when to check, stores the results and raises the alerts.

Does datawebot send price alerts?

No. It returns the prices; your script, spreadsheet or agent compares them and sends the alert. That keeps the rules in your hands, such as which sellers count and how big a change matters.

Does it keep price history?

No. Each read is one snapshot, labelled with when it was read (meta.as_of). Store each snapshot yourself to build the history.

How often can I check a price?

As often as you schedule it. Each read is a separate request at 1 credit, so the schedule sets the cost.

Can I monitor Amazon prices?

Yes. Search with site set to an Amazon domain, then read each product. Amazon works in 20 countries.

What does monitoring cost?

1 credit per product per check, with every seller's price. Checking 100 products once a day for 30 days is 3,000 credits, about $3 at the smallest pack. Every account starts with 200 free credits, and packs start at $10 with no subscription.