DataBlue
// Compare · DataBlue vs ValueSERP

DataBlue vs ValueSERP — which Google SERP API wins in 2026?

ValueSERP is the budget classic — REST-only, simple, cheap. DataBlue is even cheaper, ships AI extraction and an MCP server, and gives you proper SDKs. Honest head-to-head below.

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// TL;DR

Why DataBlue wins.

  • ~60% cheaper. $29 vs ~$70 for 50K SERPs/month. Same Google data, better price.
  • AI extraction + MCP server included. ValueSERP gives you SERPs only. We give you SERPs plus the layer your AI agents actually need.
  • Typed SDKs, not just REST. Python and Node SDKs with autocomplete and typed error classes. ValueSERP is REST-only.
  • Credits never expire. No monthly reset. ValueSERP burns unused searches at the start of every month.
// Side-by-side

Feature-by-feature comparison.

What you actually care about, not a 50-row marketing matrix.

FeatureDataBlueValueSERP
Price for 50K SERPs / month$29~$70
Pricing model1 SERP = 1 creditPer-search billing
Credit expiryNeverMonthly
Structured People Also AskYesYes
AI extraction built-inYesNo
MCP serverYesNo
Free tier5,000 / mo100 / mo
Avg response time1.2s1.5s
Batch / scheduled queriesYes (schedules)Yes (batches)
Active SDKsPython, Node, MCPREST only
// Migration · 3 steps

Switch in 10 minutes.

ValueSERP and DataBlue have similar APIs. Below is the exact diff most teams ship in their first commit.

STEP 01

Swap the HTTP call for an SDK

ValueSERP is REST-only. DataBlue gives you a typed Python/Node SDK with the same response surface.

Before · ValueSERP
# ValueSERP
import requests
After · DataBlue
# DataBlue
pip install datablue
STEP 02

Replace the GET request

Both APIs have similar surfaces. DataBlue's SDK gives you typed responses and error classes instead of a dict.

Before · ValueSERP
params = {"api_key": "...", "q": "running shoes", "location": "United States"}
r = requests.get("https://api.valueserp.com/search", params=params)
data = r.json()
After · DataBlue
from datablue import DataBlue
client = DataBlue(api_key="db_...")
results = client.serp(q="running shoes", location="United States")
STEP 03

Map the response keys

ValueSERP nests results under organic_results. DataBlue uses organic. We publish a one-page field map in the docs.

Before · ValueSERP
organic = data["organic_results"]
paa = data.get("related_questions", [])
After · DataBlue
organic = results["organic"]
paa = results["people_also_ask"]
// Honest take

When ValueSERP might still win.

ValueSERP has been around a long time and earned its reputation. Here's when it's genuinely the right call.

  • You don't care about AI tooling.If you have your own LLM pipeline and just need clean Google SERPs, ValueSERP's no-frills approach is fine. We bundle more, but you'd be paying for things you won't use.
  • You're happy with REST-only.If your stack is curl and bash scripts, ValueSERP's simplicity is a feature, not a bug.
  • You already have CSV batch exports working. Their batch system is mature; ours works but the file format will need a one-time mapping.
// Real money

What teams actually save.

50K SERPs/month — typical ValueSERP plan vs DataBlue Starter.

$70/mo
ValueSERP · 50K plan
→
$29/mo
DataBlue · Starter plan
// You save$41/mo · $492/yearsame volume · AI tooling included · 5K free credits forever
// FAQ

Migration questions.

Two reasons. First, we're still cheaper at every tier — $29 vs $70 for 50K SERPs. Second, we bundle AI extraction and an MCP server, which means you skip the LLM-orchestration layer most teams build on top of ValueSERP. Cheaper plus more shipped.
Very close. ValueSERP uses organic_results / related_questions; we use organic / people_also_ask. Most teams write a 30-line adapter and keep their downstream pipeline untouched.
If you rely on ValueSERP-specific JSON keys or their batch CSV exports as-is, those formats differ. We have batch scheduling and exports too, but the file shape will need a one-time mapping. Most teams finish the migration in an afternoon.
Schema-guided extraction costs 5 credits per call (vs 1 for a raw SERP) because LLM tokens cost money. ValueSERP has no equivalent — you'd run those LLM calls yourself anyway. Same total cost, fewer moving parts.

Start free — migrate in 10 minutes.

5,000 free credits every month, no credit card. Cheaper than ValueSERP, with AI extraction and an MCP server included.

Get Your API Key →View Migration Docs