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LATAM Startup & VC Funding Directory Scraper

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LATAM Startup & VC Funding Directory Scraper

LATAM Startup & VC Funding Directory Scraper

Scrape LATAM startup funding rounds from LatamList and Contxto. Extracts company name, country, sector, stage, amount, lead investor, and participants from funding articles. Covers Brazil, Mexico, Colombia, Argentina, Chile, and more. Ideal for VCs and founders tracking LATAM deal flow.

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Pay per event

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BowTiedRaccoon

BowTiedRaccoon

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1

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4 days ago

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LATAM Startup and VC Funding Directory Scraper

Scrape LATAM startup funding rounds from LatamList and Contxto. Extracts company name, country, sector, round stage, amount in USD, lead investor, and participating investors from funding articles across Brazil, Mexico, Colombia, Argentina, Chile, and the rest of Latin America.


LATAM Funding Scraper Features

  • Pulls funding rounds from two complementary LATAM news sources — LatamList and Contxto — in one run
  • Returns funding amount in both human-readable form ($5M) and parsed number (5.0 for $5M, 1200.0 for $1.2B)
  • Captures lead investor and participating investors as separate fields
  • Sector and round stage parsed out of article body — Fintech, HealthTech, AI, Logistics, Seed, Series A, B, C
  • Filter by country to pull deal flow for a single market
  • No proxy required — both sources are publicly accessible

Who Uses LATAM Funding Data?

  • VCs and angel investors — Track LATAM deal flow in near-real time without subscribing to a regional research service
  • Founders — Map which investors are writing checks in your sector and stage before you start fundraising
  • Corporate dev and M&A teams — Monitor emerging targets in specific verticals across Latin America
  • Researchers and journalists — Build longitudinal datasets on capital flows into LATAM by country and sector
  • Sales teams at infra and SaaS vendors — Find newly funded startups that just took on burn rate they need to spend somewhere

How the LATAM Funding Scraper Works

  1. Pick a sourceall for LatamList + Contxto, or either site solo.
  2. Article crawl — The scraper walks each source's funding feed, deduplicates by URL, and pulls each article body.
  3. Structured parsing — Company name, country, sector, round stage, amount, and investors are extracted from the article with site-specific selectors and pattern matching.
  4. Export — One record per funding round in your Apify dataset.

Input

All sources, all countries

{
"source": "all",
"country": "",
"maxItems": 200
}

Single country

{
"source": "all",
"country": "Brazil",
"maxItems": 100
}

LatamList only

{
"source": "latamlist",
"maxItems": 50
}
FieldTypeDefaultDescription
sourcestringallall, latamlist, or contxto.
countrystringLATAM country name (e.g. Brazil, Mexico). Empty = all countries.
maxItemsinteger10Cap on funding rounds returned.

LATAM Funding Scraper Output Fields

{
"company_name": "Kavak",
"source_url": "https://latamlist.com/kavak-raises-700m-series-e",
"source_site": "latamlist",
"announced_date": "2026-04-18",
"country": "Mexico",
"sector": "Mobility",
"round_stage": "Series E",
"amount_usd": "$700M",
"amount_usd_number": 700.0,
"lead_investor": "General Atlantic",
"participating_investors": "SoftBank, Tiger Global, Greenoaks",
"description": "Kavak is a Mexico City-based marketplace for buying and selling used cars across LATAM.",
"article_title": "Kavak raises $700M Series E to expand across LATAM",
"scraped_at": "2026-05-11T04:22:55.842Z"
}
FieldTypeDescription
company_namestringStartup or company name
source_urlstringURL of the original article
source_sitestringPublication that reported the round (latamlist or contxto)
announced_datestringRound announcement date (YYYY-MM-DD)
countrystringCountry where the startup is headquartered
sectorstringIndustry or sector (Fintech, HealthTech, AI, Logistics, etc.)
round_stagestringFunding stage (Seed, Series A, B, C, etc.)
amount_usdstringFunding amount as published (e.g. $5M, $1.2B)
amount_usd_numbernumberParsed amount in millions USD (e.g. 5.0 for $5M)
lead_investorstringLead investor name(s)
participating_investorsstringComma-separated participating investors
descriptionstringBrief description of the startup from the article
article_titlestringOriginal article headline
scraped_atstringISO timestamp when the record was scraped

FAQ

How do I track LATAM startup funding without a research subscription?

LATAM Funding Scraper pulls from LatamList and Contxto, the two most active English-language LATAM funding desks. Set the source to all, optionally filter by country, and run. New rounds land in your dataset as soon as they're posted.

How much does this actor cost to run?

LATAM Funding Scraper uses pay-per-event pricing on the default_2603_basic profile at a 1.0x coefficient. No proxy fees. A 200-round monthly digest costs cents in platform fees.

Can I filter by sector or round size?

LATAM Funding Scraper exposes country and source filters at input. Sector and round size are returned as structured fields (sector, amount_usd_number), so a one-line downstream filter slices the dataset by Fintech, Series A+, or any combination.

What countries does this cover?

LATAM Funding Scraper covers everything LatamList and Contxto report on — primarily Brazil, Mexico, Colombia, Argentina, Chile, Peru, Uruguay, and Costa Rica. Use the country filter to narrow to one market.

Does this actor need proxies?

LATAM Funding Scraper runs proxy-free. Both source sites serve traffic publicly and don't rate-limit at the volumes this actor produces.


Need More Features?

Need Crunchbase or PitchBook enrichment, valuation parsing, or a webhook on every new round? Open an issue or get in touch.

Why Use LATAM Funding Scraper?

  • Two sources, one schema — LatamList and Contxto often cover different deals. Running both and deduplicating by URL gets you broader coverage than either alone.
  • Amount in both shapesamount_usd as the published string and amount_usd_number as parsed millions. Pick the one you need downstream — most pipelines want the number.
  • Lead vs participating split — Lead investor is separate from the rest, which matters when you're tracking who's actually setting valuations in the region.