Mercado Libre Market Intelligence — LATAM Niche & Demand Analyzer

Disclaimer: Unofficial integration, not affiliated with Mercado Libre or MercadoLibre, Inc. Mercado Libre and related trademarks belong to their respective owners. Data is read from publicly accessible search results and product pages. No account login required.

This Actor is provided for informational, research, and market analysis purposes only. You are solely responsible for complying with applicable laws, Mercado Libre's terms of use, and your organization's policies.

Analyze Mercado Libre niches across 18 Latin American country sites and get actionable market intelligence — not just raw rows. Enter a keyword or category URL and receive demand level from real sold counters, estimated lifetime revenue (GMV), price percentiles, top sellers and brands, competition concentration, and a 0–100 opportunity score with a plain-language verdict.

Each query produces a ready-to-use market report: market_summary in the dataset, REPORT.md, OUTPUT.json, and listings.csv with every analyzed listing.

Best for: LATAM niche validation, product research, market entry analysis, competitor benchmarking, assortment planning, pricing strategy, and category opportunity screening.

Crawloop Mercado Libre LATAM Suite — raw listing export and market intelligence across the same 18 country sites.

Mercado Libre Scraper	Mercado Libre Market Intelligence ◄── you are here
Raw listings, fast search, optional PDP	Niche score, demand, GMV, market reports

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When to use this Actor

• Niche validation — Check demand vs. competition before sourcing: sold counters, seller concentration, opportunity score in one run.
• Category analysis — Paste a Mercado Libre category URL (e.g. smartphones, air fryers) and analyze up to 500 top listings with one report.
• Revenue estimation — Directional GMV from public sold counters (price × units sold per listing).
• Competitor benchmarking — Top sellers by estimated revenue, official store share, FULL delivery and free shipping penetration.
• Pricing strategy — Price percentiles (p10–p90) with outlier cleaning, breakdown by condition, discount depth.
• Brand share analysis — Which brands dominate a niche by listings, units sold, and estimated revenue.
• Batch niche screening — Multiple keywords or categories in one run, ranked by opportunity score.

When not to use this Actor

• Bulk raw export only — If you need thousands of listing rows without analytics, use Mercado Libre Scraper — LATAM Prices, Listings & Specs (faster search-only mode, lower cost).
• Exact accounting-grade revenue — Sold counters are lifetime values capped at "+1000"; figures are directional market-size estimates.
• Real-time price alerts — Analytical snapshots, not continuous monitors.

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Mercado Libre Scraper vs. Market Intelligence

	Listings Scraper	Market Intelligence (this Actor)
Primary output	Raw listing rows (JSON/CSV)	Market report + analytics + listing rows
Search & category	Yes	Yes
PDP enrichment	Optional (includeProductDetail)	On by default (required for demand/GMV)
Opportunity score	No	Yes (0–100)
Demand & GMV estimates	No	Yes
Top sellers / brands tables	No	Yes
Markdown report	No	Yes (REPORT.md)
Best for	Catalogs, price feeds, bulk export	Niche research, go/no-go decisions

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Key Features

• 0–100 opportunity score — Demand, competition, official stores, shipping, and discount pressure combined into one verdict.
• Demand from sold counters — Aggregated lifetime sales per listing into demand levels and market-size estimates.
• Revenue intelligence — Estimated GMV per niche, seller, brand, and listing.
• Competition analysis — Unique sellers, top-5 revenue share, official store share, FULL and free shipping rates.
• Price analytics — Median, mean, std dev, p10/p25/p75/p90 with outlier trimming; breakdown by new/used/refurbished.
• Top sellers, brands, products — Ranked by estimated revenue with units sold.
• Promotion radar — Discount share, average/max discount, interest-free installment coverage.
• 18 LATAM sites — MLA, MLB, MLM, MCO, MLC, MPE, and 12 more with country-targeted residential proxy.
• Keyword or category input — searchQueries or categoryUrls (one market report per target).
• Three export formats — Dataset summaries, key-value store JSON/Markdown/CSV.

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How it works

1. Crawls Mercado Libre search results or a category URL and collects the top N listings (default 50, up to 500).
2. Enriches each listing via product detail page in parallel (sold quantity, brand, specs, stock) — enabled by default.
3. Cleans price outliers and computes price, demand, revenue, competition, brand, and promotion analytics.
4. Scores the niche 0–100 and writes a quick-take verdict plus REPORT.md.
5. Pushes one market_summary per query/category to the dataset, individual listing rows, and OUTPUT.json / listings.csv to the key-value store.

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Supported country sites

Site ID	Country	Currency
MLA	Argentina	ARS
MLB	Brazil	BRL
MLM	Mexico	MXN
MCO	Colombia	COP
MLC	Chile	CLP
MPE	Peru	PEN
MLU	Uruguay	UYU
MLV	Venezuela	VES
MEC	Ecuador	USD
MBO	Bolivia	BOB
MPA	Panama	USD
MPY	Paraguay	PYG
MRD	Dominican Republic	DOP
MCR	Costa Rica	CRC
MNI	Nicaragua	NIO
MGT	Guatemala	GTQ
MHN	Honduras	HNL
MSV	El Salvador	USD

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Input Parameters

Parameter	Type	Default	Description
searchQueries	Array	—	Keywords/niches to analyze (one report per query).
categoryUrls	Array	—	Mercado Libre category or filtered listing URLs (one report per URL).
siteId	String	MLA	Country site code (see table above).
maxItemsPerQuery	Integer	50	Listings analyzed per query or category (5–500).
includeProductDetail	Boolean	true	Visit product pages for sold counters, brands, specs. Required for demand/GMV.
condition	String	any	Filter: any, new, used, refurbished.
priceMin / priceMax	Integer	—	Price bounds in local currency.
officialStoresOnly	Boolean	false	Official store listings only.
includeItems	Boolean	true	Push listing rows to dataset and CSV.
outputFormat	String	full	full, summary_only, or items_only.
pdpConcurrency	Integer	5	Parallel PDP fetches (1–15).
sessionPoolSize	Integer	4	Residential proxy sessions (1–10).
proxyConfiguration	Object	auto	Residential proxy in target country auto-configured.

Input example — keyword niche

{
  "searchQueries": ["freidora de aire"],
  "siteId": "MLA",
  "maxItemsPerQuery": 100,
  "includeProductDetail": true
}

Input example — category analysis

{
  "categoryUrls": ["https://listado.mercadolibre.com.ar/celulares-smartphones"],
  "siteId": "MLA",
  "maxItemsPerQuery": 300,
  "includeProductDetail": true
}

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Output Format

Market summary (one per query or category)

{
  "type": "market_summary",
  "query": "celulares-smartphones",
  "sourceType": "category",
  "siteId": "MLA",
  "currency": "ARS",
  "summary": {
    "opportunityScore": 70,
    "verdict": "strong_opportunity",
    "demandLevel": "very_high",
    "competitionLevel": "moderate",
    "medianPrice": { "amount": 400450, "display": "$400,450", "currency": "ARS" },
    "estimatedTotalRevenue": { "amount": 9059121723, "display": "$9,059,121,723", "currency": "ARS" },
    "confidence": "high",
    "quickTake": "Strong demand with moderate seller concentration. Opportunity score 70/100."
  }
}

Listing rows

Full fields per analyzed product: id, title, price, soldQuantity, availableQuantity, seller, condition, attributes, permalink, categoryUrl, and more.

Key-value store

File	Content
REPORT.md	Human-readable report with seller, brand, and product tables.
OUTPUT.json	All summaries and items in one JSON document.
listings.csv	Flat CSV with estimated revenue per row.

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Pricing

Pay-per-event on Apify. You are charged for:

Event	Description
listing-analyzed	Each listing scraped and enriched with product page data (sold quantity, brand, specs, stock) and included in analytics.
market-report	One structured market report per search query or category URL (opportunity score, price stats, demand, GMV, competition, REPORT.md, OUTPUT.json).

Typical run cost scales with listings analyzed plus one report per niche. Deep analysis (PDP) is required for demand and revenue metrics.

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Understanding the metrics

Opportunity score (0–100)

Score	Verdict
70+	Strong opportunity
45–69	Moderate opportunity
25–44	Weak opportunity
<25	Saturated or low demand

Demand level

From aggregated sold counters: very_high (20,000+ units), high (5,000+), medium (500+), low (50+), very_low (<50).

Confidence

high (80+ listings), medium (30+), low (10+), very_low (<10). Disabling PDP lowers confidence for demand metrics.

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FAQ

How is this different from the Mercado Libre Listings Scraper?

This Actor adds market intelligence — opportunity score, demand, estimated GMV, competition tables, and Markdown reports. The Mercado Libre Scraper — LATAM Prices, Listings & Specs exports raw listing rows for custom pipelines and bulk catalog jobs (especially fast search-only mode).

Can I analyze a category instead of a keyword?

Yes. Paste a Mercado Libre category or filtered search URL into categoryUrls. The Actor paginates the category and produces one market report for that niche.

How accurate are revenue estimates?

Sold counters are Mercado Libre's public lifetime values, capped at "+1000" for high-volume listings. Use figures to compare niches, not for accounting.

Do I need deep analysis (PDP)?

Yes for demand and GMV — sold counters appear on product pages only. With includeProductDetail: false you still get price and competition stats from search cards at lower runtime.

How long does a run take?

Roughly 3–4 minutes per 100 listings with PDP enabled (parallel pages). A 300-listing category analysis takes about 12–13 minutes. Search-only analytics (no PDP) is faster but skips demand/GMV.

How does it bypass bot protection?

Headless Chromium with residential proxies in the target country and a rotating multi-session pool. Akamai challenges are handled in the browser.

Does it export JSON and CSV?

Yes. Summaries and listings go to the Apify dataset; OUTPUT.json, REPORT.md, and listings.csv are in the key-value store.

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Also see: Mercado Libre Scraper — LATAM Prices, Listings & Specs — raw Mercado Libre listing export, fast search mode, category URLs, and optional PDP enrichment across the same 18 LATAM sites.