6 Best B2B Data Providers for Southeast Asia in 2026

A B2B data provider for Southeast Asia sells business contacts in Indonesia, the Philippines, Malaysia, Singapore, Thailand and Vietnam, deep enough to build a real list. Sales teams, agencies and data engineers who sell into ASEAN need one. Most vendors print a worldwide total and leave the region to you.

Only two of the six print a number you can use: People Data Labs, by country, and ZoomInfo, for Asia as a whole. The rest hide it. So this page ranks on one criterion, coverage, and gives you a test to run on each free tier. We ran our own free count on LeadOcean on 2026-10-21.

Read each rival on its own page: Apollo, Lusha, ZoomInfo, People Data Labs and Crustdata. For single countries, see Indonesia, Vietnam and South Asia.

TL;DR

"1M records" means 1M work-email lookups that return a result, at list price.

What we evaluated

• Southeast Asia coverage: a figure by country, or a way to get one, for the six large markets.
• Free coverage test: whether you can size the region or test your own list before you pay.
• Mailable depth: whether a count means people with a usable email or only profiles.
• API and MCP: whether a script or an agent can pull the records directly.
• Price at volume: flat, credits, seats or quote, and the cost of 1M records.

We ran counts on LeadOcean only. We ran no query on the rivals, so we print no hit rates for them. Vendor figures are vendor claims, and each vendor counts a "contact" its own way.

How to run the coverage test

Take 25 people you sell to in Jakarta, Manila, Kuala Lumpur, Singapore, Bangkok and Ho Chi Minh City. Use your own list. Run them through each free tier below and count how many return a work email. Then count phones.

Free tiers are enough: Lusha Free gives 40 credits a month, Apollo 75, ZoomInfo GTM AI 1,000 data credits and LeadOcean 1,000 records for life. PDL Free gives 100 credits a month, but it hides the contact data, so it only tests profile matches.

1. LeadOcean: best for API, agent and volume buyers

LeadOcean holds 693M people and 67M companies. It has a country filter with 254 codes, a salesRegion filter with an APAC value and a free count_leads tool. We ran it on 2026-10-21, which spends no records. The 11 Southeast Asian countries hold 24,279,540 people with no email filter. 2,547,330 of them have a mailable email (verified, catch-all valid or catch-all).

By country, the table shows people with no email filter, then the mailable count.

Here is the weak point: Vietnam and Thailand are thin, and mailable is only about 10% of the region. 985,970 people in the 11 countries have a phone number, counted with hasPhone and no email filter. Singapore is the reverse of Indonesia: fewer people, more mailable. Do not read the first column as a send list.

The REST call below sizes an audience for free, with count=true as a query parameter.

curl -X POST "https://api.leadocean.io/v1/people/search?count=true&limit=1" \
  -H "x-api-key: $LEADOCEAN_API_KEY" \
  -H "content-type: application/json" \
  -d '{"country": ["ID", "PH", "MY"], "jobLevel": ["C-Team"], "hasEmail": true}'

That count is people with an email of any status, not a mailable count. Add emailStatus to narrow it. Over REST, meta.total stops at 100,000, so use narrow filters or the MCP count_leads tool for exact totals. The MCP server at https://api.leadocean.io/mcp has 13 tools and signs in with OAuth 2.1.

Pros

• A free, exact count for any Southeast Asian country, with email status and phone filters.
• Agency is $497 a month flat, with 200 requests a second, 5 keys and no credit meter.
• REST and MCP on every plan, including Free.
• Search by country, city, title, seniority and industry in one call.

Cons

• Vietnam and Thailand are thin: 83,915 and 164,579 mailable people.
• No rep workspace, sequencer, dialer or CRM.
• Free is 1,000 records for life, and a v2 contact lookup costs a record even on a miss.
• PDL prints larger profile counts in all six countries.

Best for: engineers, agencies and agents that sell into Indonesia, the Philippines, Malaysia and Singapore at volume and want a fixed bill.

Pricing: Free is 1,000 records for life, no card. Solo is $97 a month, Agency $497 and Platform $1,997 (LeadOcean pricing, October 2026).

2. People Data Labs: best for the largest published country counts

PDL is the only provider here that prints a count for each Southeast Asian country. Its location aggregations list Indonesia at 20,527,486 profiles, the Philippines at 11,131,280, Malaysia at 6,531,905, Vietnam at 3,618,071, Singapore at 3,463,372 and Thailand at 2,606,734 (PDL docs, October 2026). Its company table lists 288,216 companies in Indonesia and 88,135 in Vietnam (PDL company docs, October 2026).

Those are profiles, not mailable people, and PDL does not split them by email. They are larger than LeadOcean's unfiltered counts in every country. Read them as an upper bound on reach, not a list size.

Coverage test. PDL Free gives up to 100 credits a month, with emails, phones and addresses obscured (PDL pricing, September 2026). You can test whether your 25 people exist, but not whether their email works. Pro starts at $98 a month for 350 credits (PDL pricing, September 2026).

Pros

• Country counts printed for all six large markets, plus company counts.
• Bulk enrichment of up to 100 people per request.
• Unbilled misses: a 404 costs nothing.

Cons

• No official MCP server. Only community ones exist (PDL llms.txt, September 2026).
• Person search defaults to 10 requests a minute (PDL docs, September 2026).
• Self-serve stops near 100,000 profiles, and 1M has no public price.
• The free tier hides contact data.

Best for: data teams that load profiles into a warehouse and judge the region by size.

Pricing: Free $0 for 100 credits a month. Pro from $98 a month for 350 credits, $0.28 a credit (PDL pricing, September 2026).

3. Lusha: best for small batches with email and phone

Lusha claims 515M+ contacts and 29M+ companies worldwide, with 165M+ verified emails (Lusha data page, October 2026). The page prints worldwide totals only, with no Southeast Asia or country figure, so test your own list.

An email costs 1 credit and a phone 5 (Lusha API docs, September 2026). The MCP server at mcp.lusha.com has 50 tools and shares the API credit pool (Lusha MCP docs, September 2026).

Coverage test. Lusha Free gives 40 credits a month and an API key on every plan. Look up your 25 people, read the hit rate for email and phone, and stop there. Free and Starter keys allow 100 requests a day.

Pros

• Email, phone and company data in one lookup.
• An API key on every plan, Free included.
• MCP server with 50 tools.

Cons

• No Southeast Asia figure on the page we read.
• 1M work emails by bulk API is 1,040,000 credits, with no public price.
• Free and Starter keys are capped at 40 requests a minute and 100 a day.

Best for: small teams that look up Southeast Asian contacts in batches of hundreds.

Pricing: Free $0 for 40 credits a month. Starter $49.90 a month ($37.45 billed yearly). Pro $69.90 ($52.45). Premium $399.90 ($299.95) (Lusha pricing, September 2026).

4. ZoomInfo: best for Asia mobile counts

ZoomInfo prints Asia as one row: 4.8M+ companies, 68.3M+ contacts and 12.9M+ mobile numbers (ZoomInfo data page, October 2026). There is no country table, so you cannot see Indonesia or Vietnam on their own. By those figures, mobiles are about 19% of Asian contacts, and Asia includes India, China and Japan.

Its pay-as-you-go product, GTM AI, sells data credits from $20: $0.45 a credit at 100 and $0.25 at 100,000. Search and lookup are free, and a record is charged once per 12 months (GTM AI pricing, September 2026; GTM AI docs, September 2026).

Coverage test. GTM AI Free includes 1,000 data credits, no card, with API and MCP access. Search is free, so run your country filters first and spend credits only on rows you keep.

Pros

• A published Asia mobile count.
• Free search, with a record charged once a year.
• Official MCP server and a free tier with API access (GTM AI docs, September 2026).

Cons

• Asia only, no Southeast Asian country table.
• The public slider stops at 100,000 credits ($25,000), so 1M is a sales call.
• Platform plan prices are not public in our read.

Best for: teams that want mobile numbers across Asia and accept a sales call at volume.

Pricing: GTM AI pay as you go from $20, with 1,000 free data credits at signup (GTM AI pricing, September 2026).

5. Apollo: best for a free location count plus sequences

Apollo prints no Southeast Asia figure. You can measure it yourself, because its people search costs 0 credits and returns a total_entries count (Apollo API docs, September 2026). Filter with person_locations[], which takes countries such as indonesia or cities such as manila.

The search shows at most 50,000 records, 100 a page. An email costs 1 credit and a phone 8, and credits are per seat (Apollo API pricing, September 2026).

Coverage test. Apollo Free gives 75 credits a month and an API key. Search each country, read total_entries, then spend credits on your own 25 people. The MCP server at mcp.apollo.io works on any plan (Apollo MCP docs, September 2026).

Pros

• A free, public way to count people by country or city.
• Sequences, dialer and extensions on the same plan.
• Official MCP server on every plan.

Cons

• Credits are per seat, expire each cycle and do not roll over.
• A phone costs 8 credits, and 1M emails means 250 to 400 seats.
• The search display limit is 50,000 records.

Best for: reps who want a free count and a sequencer in one app.

Pricing: Free $0 (75 credits a month). Basic $65 per seat a month ($49 billed yearly). Professional $99 ($79). Organization $149 ($119) (Apollo pricing, September 2026). 1M work emails is $24,750 a month at list on monthly billing, from 250 Professional seats.

6. Crustdata: best for live web and job data next to people

Crustdata prints no Southeast Asia figure. Its homepage claims 1B people, and it states both 60M and 200M+ companies in different places (Crustdata, September 2026). It sells credits, with no dollar price on the pricing page.

Search costs 0.03 credits per result, so a country-level sample is cheap. A person enrich is 1 to 7 credits, and a work email adds 1. The contact endpoint is for enterprise plans only (Crustdata pricing docs, September 2026).

Coverage test. Run a person search filtered to a country and pull 25 rows, which costs under 1 credit. Then enrich those 25 to see how many return a work email. Ask for the dollar price per credit first, since it is not public.

Pros

• Hosted MCP server with OAuth or an API key (Crustdata MCP docs, September 2026).
• Live endpoints for web, jobs and posts, plus change watchers.
• Cheap search at 0.03 credits per result.

Cons

• Default limits are 15 requests a minute on enrich and 30 on search (Crustdata rate limits, September 2026).
• No public dollar price and no country counts.
• Purchased credits expire after 12 months per the docs.

Best for: teams that combine people data with job and web signals in Southeast Asia.

Pricing: No public plan prices. Credits only (Crustdata pricing, September 2026).

Comparison table

How to choose

• Code, agents or volume: LeadOcean. Flat price, free exact counts, REST and MCP on every plan.
• The biggest country counts: People Data Labs, and accept that profiles are not mailable people.
• Email and phone lookups in small batches: Lusha.
• Mobile numbers across Asia: ZoomInfo, and ask for a country split.
• A free count plus a sequencer: Apollo, searched by person_locations[].
• Jobs and web signals with people: Crustdata.
• Vietnam or Thailand only: run the 25-person test on at least three tools before you pay any.

Verdict

LeadOcean wins for API, agent and volume buyers. It gives a free, exact mailable count for every Southeast Asian country, Agency at $497 a month flat and an MCP server that returns records. People Data Labs wins on published size, Lusha on small batches, ZoomInfo on Asia mobiles, Apollo on a free count with a sequencer and Crustdata on live signals. In Vietnam and Thailand, no one has proven depth, so run the same 25 people through each free tier and pay the one that finds the most.

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