MercadoLibre Price Drop Alerts & Watchlist

MercadoLibre price drop alerts for your own watchlist. Paste the MercadoLibre (or Mercado Livre) products you care about, as IDs or URLs, or a few search keywords, choose what counts as a drop, and schedule the Actor. Every run checks the current best price across all sellers and returns only the products whose price dropped: compared with the last check, with 7 or 30 days ago, or with the lowest price ever recorded. Connect Apify's email, Slack or webhook integration and you have a price alert that lands where you work. Data comes from the official MercadoLibre API in 18 Latin American countries. You pay per product checked, plus a small fee per alert.

Independent tool, not affiliated with MercadoLibre.

Need full price history? See MercadoLibre Price Tracker: every product with its best price, all offers and the complete price series.

Selling on MercadoLibre? MercadoLibre Seller Price Monitor tracks your store, distributors or competitors per catalog product: price, rank, gap to the cheapest competitor and MAP violations.

What does it do?

For every product on your watchlist, each run:

1. Reads every seller offer of the catalog product (/p/MCO27172677 pages) through the MercadoLibre API.
2. Records the observation in a shared price-history database, the same one used by MercadoLibre Price Tracker and refreshed daily for popular products in Colombia, Mexico, Argentina and Brazil.
3. Compares the current best price with the history as it was before this run.
4. Writes a row only if the price dropped by at least your thresholds (status: "drop"). A product nobody has recorded before is stored and returned once as status: "baseline"; from the next run on it can trigger alerts.

Unchanged prices and price increases produce no row, so an empty dataset means "nothing got cheaper".

Main use case: scheduled price alerts by email, Slack or webhook

1. Build your watchlist. Open the Actor and paste product IDs or URLs into Products to watch (and/or keywords into Search keywords). Pick the comparison and minimum drop.
2. Run it once. Products that are new to the database come back as baseline; the rest are already compared.
3. Schedule it. In Apify Console, go to Schedules → Create new, select this Actor with your saved input and run it every 6, 12 or 24 hours (docs).
4. Get notified. In the Actor's (or the task's) Integrations tab, add:
   • Slack: post a message to a channel when a run succeeds (docs);
   • Email: send yourself the run's results;
   • Webhook: call your own endpoint, Zapier, Make or n8n on ACTOR.RUN.SUCCEEDED; the payload carries defaultDatasetId, and the dataset holds only the drops (docs).

Tip: save the input as a Task so the schedule and the integrations are attached to that watchlist.

Input examples

1. Watchlist of IDs and URLs, alert on any 5 % drop since the previous check

{
  "products": [
    "MCO27172677",
    "https://www.mercadolibre.com.co/p/MCO45520462",
    "MLM79503321"
  ],
  "compareTo": "lastObservation",
  "minDropPct": 5
}

IDs carry their country (MCO Colombia, MLM Mexico, …), so one watchlist can mix countries.

2. Only new all-time lows, at least COP 100,000 cheaper

{
  "products": ["MCO27172677", "MCO27172667", "MCO27172678", "MCO45520462", "MCO52110390"],
  "compareTo": "lowestEver",
  "minDropPct": 3,
  "minDropAmount": 100000
}

3. Watch the top results of a search, new items from official stores only

{
  "country": "MLC",
  "queries": ["iphone 15 128gb"],
  "maxProductsPerQuery": 10,
  "compareTo": "last7Days",
  "minDropPct": 5,
  "condition": "new",
  "officialStoresOnly": true,
  "includeOffers": true
}

Input fields

Field	Default	Description
products	–	Product IDs (MCO27172677) or product URLs (…/p/MCO27172677). Parent products are checked variant by variant.
queries	–	Optional search keywords; the top catalog products of each are checked.
country	MCO	Site used for queries (IDs use their own country).
maxProductsPerQuery	10	Products checked per keyword. Hits without offers are skipped and not charged.
compareTo	last7Days	lastObservation, last7Days, last30Days or lowestEver (see below).
minDropPct	5	Minimum drop in % of the reference price. 0 = any drop.
minDropAmount	–	Optional minimum drop in the product's currency. Both minimums must be met.
condition	any	new, used, refurbished: alert only when the cheapest offer behind the drop has this condition.
officialStoresOnly	false	Alert only when the cheapest offer behind the drop is from an official store.
includeOffers	false	Attach every offer matching your filters to each row.

What is compared (compareTo)

Value	Reference price	Alerts
lastObservation	Best price at the product's previous check (yours, another user's or our daily schedule)	Once per price change
last7Days	Best price in force 7 days ago (oldest recorded price if the history is shorter)	On every run while the price stays below
last30Days	Best price in force 30 days ago (same fallback)	On every run while the price stays below
lowestEver	Lowest best price recorded before this run	Only on new all-time lows

The comparison always uses the shared series: the cheapest offer of the product (any seller, any condition) in its main currency. condition and officialStoresOnly do not change that series; they decide whether you want the alert: if the cheapest offer behind the drop does not match them, no alert is sent.

Output

One row per product whose price dropped (status: "drop") or that was registered for the first time (status: "baseline").

Real baseline rows from example 3 (Chile, 13-nov-2026, maxProductsPerQuery: 2; one row shown, offers shortened):

{
  "productId": "MLC27172678",
  "name": "Apple Iphone 15 128 Gb Rosa",
  "url": "https://www.mercadolibre.cl/p/MLC27172678",
  "thumbnail": "https://http2.mlstatic.com/D_NQ_NP_729317-MLA95935359515_102025-F.jpg",
  "currency": "CLP",
  "previousPrice": null,
  "previousPriceAt": null,
  "currentPrice": 659000,
  "dropAmount": null,
  "dropPct": null,
  "compareTo": "lastObservation",
  "lowestPriceSeen": 659000,
  "isNewLowest": false,
  "bestItemId": "MLC1902096403",
  "bestSellerId": "523057950",
  "offersCount": 3,
  "status": "baseline",
  "scrapedAt": "2026-11-13T14:39:54.958349Z",
  "offers": [
    { "itemId": "MLC1902096403", "sellerId": "523057950", "officialStoreId": null, "price": 659000,
      "originalPrice": null, "condition": "new", "freeShipping": true, "listingType": "gold_pro" }
  ]
}

A drop row has the same fields, with previousPrice, previousPriceAt, dropAmount and dropPct filled in. The run log explains every decision, e.g. from example 2 on 13-nov-2026 (no product had dropped, so the dataset stayed empty):

MCO45520462: current COP 2228253 vs lowestEver 2223459 at 2026-11-12T03:57:45.215074Z, change +0.22% -> no alert
MCO27172677: current COP 2182895 vs lowestEver 2182895 at 2026-11-13T03:10:11.829919Z, change 0% -> no alert
Done: 5 product(s) checked, 0 price drop alert(s), 0 baseline(s), 0 error(s)

Output fields

Field	Description
productId	Catalog product ID, e.g. MCO27172677.
name, url, thumbnail	Product name, MercadoLibre page and image.
currency	Currency of every price in the row.
previousPrice	Reference price (see compareTo). Null for a baseline.
previousPriceAt	When the reference applied: previous check, start of the 7/30-day window, first recorded price, or date of the lowest price.
currentPrice	Cheapest current offer matching your filters.
dropAmount	previousPrice − currentPrice.
dropPct	Drop in % of previousPrice (2 decimals).
compareTo	Reference used for this row.
lowestPriceSeen	Lowest best price ever recorded, including this run.
isNewLowest	true when the current price is below every price recorded before.
bestItemId, bestSellerId	Listing and seller of the current price.
offersCount	Offers matching your filters.
status	drop or baseline.
scrapedAt	When the product was checked (UTC).
offers	Only with includeOffers: offers matching your filters, cheapest first.

How much does it cost?

Pay per event, no subscription. Platform usage is included.

Event	Price
product-checked: every product checked, with or without a drop (baselines included)	$0.001
price-drop-alert: extra for every row with status: "drop"	$0.004
Actor start (charged by Apify on every run)	$0.00005 per GB of memory (default 1 GB)

Example: 50 products checked every 6 hours for 30 days = 6,000 checks = $6.00, plus $0.004 per alert. Products that cannot be checked (not found, database unavailable) and keyword hits without offers are not charged. Set a maximum cost per run in the run options; the Actor stops cleanly when it is reached.

Use it from AI agents (Apify MCP server)

The Actor is available as a tool through the Apify MCP server, so Claude, Cursor, VS Code or any MCP client can check your watchlist. Add this to your MCP client configuration (OAuth sign-in opens in your browser on first use):

{
  "mcpServers": {
    "mercadolibre-price-drop-alerts": {
      "url": "https://mcp.apify.com?tools=pricelatam/mercadolibre-price-drop-alerts"
    }
  }
}

If your client does not support OAuth, send your token instead with "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }.

Then ask, for example: "Did any of MCO27172677, MCO45520462 or MCO52110390 hit a new all-time low price on MercadoLibre?"

From code, call it like any Actor (pip install apify-client, then client.actor("pricelatam/mercadolibre-price-drop-alerts").call(run_input={...})) and iterate the default dataset.

FAQ

Why did my first run return only baseline rows? Those products had never been recorded, so there was nothing to compare with. They are stored now; the next run compares them. Popular products in MCO, MLM, MLA and MLB are usually already in the database thanks to our daily schedules, so they are compared from the first run.

Why is the dataset empty? No product dropped by at least minDropPct (and minDropAmount) against the chosen reference. The run log shows the comparison for every product.

Which compareTo should I use? lastObservation for "tell me once when the price goes down". lowestEver for "only real record lows". last7Days / last30Days for "cheaper than a week / month ago", which keeps alerting while the lower price lasts.

Does "last observation" mean my last run? It means the last time anybody recorded the product: your runs, other users' runs or our schedules. That is what makes the comparison meaningful even if you run rarely.

Am I charged when there is no drop? Yes, product-checked ($0.001) for each product actually checked. The price-drop-alert fee applies only to rows with status: "drop".

Do condition and officialStoresOnly create a separate price series? No. The history is shared and covers all offers. The filters only suppress alerts whose cheapest offer does not match them, and limit currentPrice, offersCount and offers to matching offers.

What happens with products that have variants (colors, memory)? A parent product is expanded and each variant is checked (and charged) separately, because each variant has its own price.

Do prices include shipping? No, item price only. With includeOffers, each offer tells you whether shipping is free.

Which countries are supported? All 18 MercadoLibre sites: Argentina, Brazil (Mercado Livre), Mexico, Colombia, Chile, Peru, Uruguay, Ecuador, Venezuela, Bolivia, Paraguay, Dominican Republic, Costa Rica, Nicaragua, Guatemala, Honduras, El Salvador and Panama.

Something does not work. Where do I report it? Open an issue in the Actor's Issues tab with the run ID and the input you used.

Independence notice

This Actor is an independent tool. It is not affiliated with, endorsed by or sponsored by MercadoLibre. "MercadoLibre" and "Mercado Livre" are trademarks of their owners and are used only to describe the data source. Prices are the ones published through the official MercadoLibre API at the time of each run.

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En español

MercadoLibre Price Drop Alerts vigila tu lista de productos de MercadoLibre (IDs, URLs /p/MCO… o búsquedas) en 18 países y devuelve solo los que bajaron de precio: frente a la última observación, a hace 7 o 30 días, o al mínimo histórico, con un umbral en % y opcionalmente en moneda local. Cada consulta se guarda en la misma base de historial compartida del MercadoLibre Price Tracker; un producto nunca visto se registra y se devuelve una vez como baseline. Prográmalo cada pocas horas y conecta la integración de email, Slack o webhook de Apify para recibir las bajadas. Se cobra $0.001 por producto consultado y $0.004 adicionales por alerta. Herramienta independiente, sin relación con MercadoLibre.