Best Web Data APIs for AI Agents in 2026

"Best API" is a question that only makes sense inside one vertical. Asking whether Mindcase beats a general-purpose scraper is a different question from asking whether google-maps/places beats a review vendor, which is different again from asking whether linkedin/jobs beats indeed/jobs for a hiring-research task. Mindcase runs 74 endpoints across nine verticals, and the evaluation criteria that matter don't transfer between them — a criterion that decides a social-listening pick (does the endpoint even support keyword search) has no bearing on a job-board pick (does the endpoint return a salary field).

If you're an agent (or building one) reading this rather than a human, the full machine-readable schema for every endpoint below lives at mindcase.co/skills.md.

What does "best" actually mean across nine verticals?

Most roundups of scraping tools compare infrastructure: proxy rotation, CAPTCHA handling, JavaScript rendering. That's the wrong lens for an API that already handles all of that — the real decision isn't "can this vendor get past a block," it's "does this endpoint return the field my workflow actually needs, at a price that holds up at volume." That question is answered per-vertical, not once for the whole catalog.

The nine verticals Mindcase actually covers:

That's an orientation, not an exhaustive index — some endpoints sit in more than one vertical's workflow (google-maps/reviews shows up in both local-business and e-commerce-review research, for instance).

What should you check before picking any endpoint, regardless of vertical?

Three things hold up across every category we've evaluated so far:

Field richness relative to price. A cheaper endpoint that's missing the one field your workflow depends on isn't actually cheaper — it just moves the cost to a second lookup. Compare fields-per-dollar, not the headline price alone.

Whether the endpoint can search, or only look up. Some endpoints take a keyword or query and discover new results (google/search, reddit/posts). Others take a URL or handle you already know and return what's there (tiktok/comments, facebook/ads). Confusing the two stalls a workflow at the design stage, not at runtime.

How freshness is actually signaled. "Freshness" means something different per vertical — a job posting's fromDays filter, a review's sortBy: newest, a search result's publishedDate. None of it is a single universal freshness score, so check the specific field before assuming an endpoint can scope to "recent."

Where do the deeper category breakdowns live?

Each vertical below has its own comparison post that goes into the specific tradeoffs — pricing shape, field-by-field gaps, which endpoint wins for which use case:

• LinkedIn — Best LinkedIn Data APIs for AI Agents in 2026
• Job boards — Best Job Board APIs for AI Agents in 2026
• Facebook — Best Facebook Data APIs for AI Agents in 2026
• Instagram — Best Instagram Data APIs for AI Agents in 2026
• TikTok — Best TikTok Data APIs for AI Agents in 2026
• Google (search, shopping, images, news) — Best Google Data APIs for AI Agents in 2026
• Google Maps — Best Google Maps APIs for AI Agents in 2026
• Amazon — Best Amazon Data APIs for AI Agents in 2026
• Product reviews (Amazon, Yelp, Google Maps) — Best E-Commerce Review APIs for AI Agents in 2026
• Social listening (Reddit, Twitter/X, TikTok) — Best Social Listening APIs for AI Agents in 2026

Travel/hospitality, quick commerce, and the broader e-commerce-marketplace group (Shopify, StockX, GOAT, Farfetch) don't have a dedicated comparison post yet — for those, skills.md and each endpoint's own reference page are the current source of truth.

How do you try one endpoint without picking a vertical first?

If none of the above narrows it down yet, google/search is the closest thing to a universal starting point — it's the one endpoint that isn't scoped to a single platform, and it's useful for figuring out what other sources even mention the thing you're researching before committing to a vertical-specific endpoint.

curl -X POST "https://api.mindcase.co/v1/data/google/search/run?wait=true" \
-H "Authorization: Bearer $MINDCASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "params": {
    "queries": "site:reddit.com competitor research tools",
    "maxPages": 1
  }
}'

# $0.001 per page

Google Search API returns 11 fields per result — rank, title, link, domain, snippet, and publishedDate among them — which is usually enough to tell you which vertical-specific endpoint to reach for next.

What can't a cross-category roundup tell you?

Two cases.

It can't tell you which endpoint wins for your specific workflow. This post is a map, not a verdict. "Best" inside LinkedIn, Facebook, or job boards depends on the exact comparison each of those posts runs — field-by-field, not vertical-by-vertical.

Travel, quick commerce, and the broader marketplace group don't have a dedicated comparison post yet. Those are real parts of the catalog with real endpoints — check skills.md directly for them until a breakdown post exists.

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