Top Google Search Parameters Developers Should Know

If you are building a search tool, SERP tracking system, SEO dashboard, AI agent, RAG workflow, or market monitoring pipeline, Google Search parameters matter.

The same keyword can return different results depending on country, language, device, location, search type, page, time range, and filtering settings.

For developers, this means one thing:

A search query is not just a keyword.

It is a full search context.

A practical search request usually looks like this:

{
  "query": "best project management software",
  "country": "us",
  "language": "en",
  "device": "desktop",
  "location": "United States",
  "search_type": "web",
  "page": 1,
  "num_results": 10
}

This guide explains the most important Google Search parameter concepts developers should know, how they affect results, and how to use them in search APIs, SEO tools, AI agents, and automation workflows.

A Quick Note on Parameter Names

Different systems use different names.

Google’s own Custom Search JSON API uses parameters such as q, gl, hl, lr, num, start, safe, dateRestrict, fileType, siteSearch, and searchType. Google’s documentation says query parameters can be used to specify settings such as country, date restrictions, file type, and language.

SERP API providers and workflow tools may expose more readable names such as:

{
  "query": "keyword",
  "country": "us",
  "language": "en",
  "device": "mobile",
  "search_type": "news"
}

So this article focuses on the parameter concepts developers need to understand, not only one exact syntax.

The syntax changes by provider. The logic does not.

1. Query Parameter

The query parameter is the search term itself.

Common names include:

Example:

{
  "q": "best CRM software for startups"
}

The query controls the intent of the search.

Small changes can produce very different results.

For developers, always store the exact query used.

Do not normalize it too aggressively. best running shoes and best running shoes for flat feet are not the same query, despite the spreadsheet’s desperate wish for order.

2. Country Parameter

Country affects which results appear.

A query searched in the United States may return different domains, rankings, snippets, and SERP features from the same query searched in the United Kingdom, Germany, or Japan.

Common parameter names include:

Example:

{
  "query": "best electric scooter",
  "country": "de"
}

Google’s Custom Search documentation describes gl as the geolocation of the end user and says the value is a two-letter country code that can boost results whose country of origin matches the parameter.

Use country parameters when building:

For search workflows, country should be stored with every result.

Without country, ranking data loses context.

3. Language Parameter

Language affects result presentation and sometimes result selection.

Common parameter names include:

Example:

{
  "query": "project management software",
  "country": "fr",
  "language": "fr"
}

Google’s documentation describes hl as setting the user interface language and lr as restricting search to documents written in a particular language.

This distinction matters.

Example:

For multilingual search systems, store both query language and result language.

Yes, this is annoying. So is reality.

4. Location Parameter

Country is broad. Location is more precise.

Location parameters are important for local SEO, Maps results, local business data, and city-level search monitoring.

Common parameter names include:

Example:

{
  "query": "dentist near me",
  "country": "us",
  "location": "Austin, Texas, United States"
}

Location matters for queries such as:

• dentist near me
• coffee shop
• best gym in Austin
• emergency plumber Chicago
• restaurants nearby
• local SEO agency

Useful location levels include:

For local search, country alone is usually not enough.

A search for coffee shop in New York and a search for coffee shop in Austin are not the same search. Astonishing, but cities exist.

5. Device Parameter

Google results can differ between desktop and mobile.

This matters for SEO tracking, local search, ecommerce, and SERP layout analysis.

Common values include:

Example:

{
  "query": "best meal delivery service",
  "country": "us",
  "language": "en",
  "device": "mobile"
}

Device can affect:

For rank tracking, always separate desktop and mobile results.

Mixing them makes reporting look simpler and less true, which is a classic trade in human dashboards.

6. Search Type Parameter

Not all Google searches return standard web results.

Developers often need different search verticals.

Common search types include:

Example:

{
  "query": "wireless headphones",
  "search_type": "shopping",
  "country": "us",
  "language": "en"
}

Google’s Custom Search JSON API uses searchType=image for custom image search; if unspecified, results are limited to webpages.

In SERP APIs, search type is often exposed as something more readable, such as:

{
  "engine": "google_images",
  "q": "modern desk lamp"
}

or:

{
  "search_type": "images",
  "query": "modern desk lamp"
}

Search type should be explicit.

If your workflow expects product prices, do not accidentally collect standard web results and then wonder why the data looks useless. The machine did what you asked. Tragic.

7. Pagination Parameters

Pagination controls which result page you collect.

Common parameter names include:

Example:

{
  "query": "best SEO tools",
  "country": "us",
  "language": "en",
  "page": 1,
  "num_results": 10
}

Google’s Custom Search JSON API documents num as the number of search results to return, with valid values from 1 to 10, and start as the index of the first result to return. The same docs note that start=11 would begin at the second page when the default page size is 10.

Pagination is useful for:

For most SEO workflows, start with top 10 or top 20.

More results are not automatically better. They are often just more ways to pay for noise.

8. Time Range Parameter

Time range controls freshness.

This is useful for news monitoring, recent content discovery, market research, trend tracking, and AI agents that need current sources.

Common parameter concepts include:

Google’s Custom Search JSON API includes dateRestrict, with supported values such as d[number], w[number], m[number], and y[number] for days, weeks, months, and years.

Example:

{
  "query": "AI regulation updates",
  "country": "us",
  "language": "en",
  "time_range": "past_week"
}

Use time range parameters for:

Store the time range with the result.

A result from the past day and a result from the past year answer different questions.

9. SafeSearch Parameter

SafeSearch controls filtering for explicit content.

Common parameter names include:

Google’s Custom Search JSON API describes safe as the search safety level, with values including active to enable SafeSearch filtering and off to disable it.

Example:

{
  "query": "fashion photography ideas",
  "country": "us",
  "language": "en",
  "safe": "active"
}

SafeSearch matters for:

For production applications, do not leave SafeSearch behavior undefined.

Undefined defaults are how surprises get promoted to incidents.

10. Site and Domain Parameters

Developers often need to include or exclude specific domains.

Common approaches include:

Google’s Custom Search JSON API includes siteSearch for specifying a site to include or exclude, with siteSearchFilter controlling whether that site is included or excluded.

Example:

{
  "query": "pricing",
  "site": "example.com"
}

Useful workflows include:

For SERP data workflows, you can also collect general results first, then filter domains after collection.

That approach is usually more flexible.

11. Exact Match and Exclusion Parameters

Sometimes the query alone is too broad.

Exact match and exclusion parameters help narrow results.

Common concepts include:

Google’s Custom Search API includes parameters such as exactTerms, excludeTerms, hq, and orTerms for these kinds of query constraints.

Example:

{
  "query": "project management software",
  "exact_terms": "remote teams",
  "exclude_terms": "free template"
}

Use these carefully.

Over-filtering can remove useful results.

Under-filtering can flood the workflow with irrelevant pages.

The ideal setting is boring, precise, and useful. A rare triumph.

12. File Type Parameter

File type filtering helps developers find PDFs, documents, spreadsheets, presentations, or other indexed file types.

Common parameter names include:

Google’s Custom Search documentation describes fileType as restricting results to files of a specified extension.

Example:

{
  "query": "2026 retail market report",
  "file_type": "pdf"
}

Useful workflows include:

File type filters are useful for research agents and RAG pipelines because reports and official documents often live as downloadable files.

13. Duplicate Filtering Parameter

Duplicate filtering affects whether similar results are collapsed or shown.

Google’s Custom Search documentation describes filter as controlling the duplicate content filter, with values for turning it on or off.

Example:

{
  "query": "AI customer support tools",
  "filter": "1"
}

For most user-facing search workflows, filtering duplicates is useful.

For monitoring workflows, turning duplicate filtering off may sometimes reveal repeated or similar pages.

Duplicate handling should be a deliberate choice, not an accident.

14. Result Fields to Store

Strictly speaking, result fields are not search parameters.

But developers should define them at the same time.

A clean search result record should include:

Example:

{
  "query": "best CRM software",
  "country": "us",
  "language": "en",
  "device": "desktop",
  "search_type": "web",
  "position": 3,
  "title": "Best CRM Software for Small Businesses",
  "url": "https://www.example.com/best-crm-software",
  "domain": "example.com",
  "snippet": "Compare CRM platforms by pricing, features, and use cases.",
  "collected_at": "2026-07-15T09:00:00Z"
}

Search parameters explain how the result was collected.

Result fields explain what was found.

You need both.

Common Parameter Sets by Use Case

SEO Rank Tracking

{
  "query": "best SEO reporting tools",
  "country": "us",
  "language": "en",
  "device": "desktop",
  "search_type": "web",
  "page": 1,
  "num_results": 10
}

Local SEO Monitoring

{
  "query": "dentist near me",
  "country": "us",
  "language": "en",
  "location": "Austin, Texas, United States",
  "device": "mobile",
  "search_type": "web"
}

News Monitoring

{
  "query": "AI regulation updates",
  "country": "us",
  "language": "en",
  "search_type": "news",
  "time_range": "past_week"
}

Google Images Research

{
  "query": "modern desk lamp",
  "country": "us",
  "language": "en",
  "search_type": "images",
  "safe": "active"
}

Shopping and Price Research

{
  "query": "wireless headphones",
  "country": "us",
  "language": "en",
  "search_type": "shopping",
  "device": "desktop"
}

RAG Source Discovery

{
  "query": "2026 smart home market report",
  "country": "us",
  "language": "en",
  "search_type": "web",
  "time_range": "past_year",
  "file_type": "pdf"
}

How TalorData Helps Developers Work with Search Parameters

TalorData can act as a structured SERP data layer for developer workflows.

Instead of manually constructing fragile Google Search URLs, parsing search result pages, and maintaining selectors, developers can use TalorData to send search requests with clear parameters and receive structured results. Start testing SERP API for free now>>

A typical workflow looks like this:

Search parameters
↓
TalorData SERP API
↓
Structured Google Search results
↓
Database, SEO dashboard, AI agent, RAG workflow, or automation tool

TalorData can support parameter-driven workflows such as:

The main value is consistency.

Search parameters become structured inputs.

Search results become structured outputs.

Developers can then store, compare, filter, alert, and build AI workflows without manually wrestling a search page like it owes them money.

Final Thoughts

Google Search parameters are not small technical details.

They define the search context.

For developers, the most important parameters are:

query
country
language
location
device
search_type
page
num_results
time_range
safe
site/domain filters
exact/exclude terms
file_type
duplicate filtering

A good search workflow does not just ask:

What keyword did we search?

It asks:

What keyword did we search, in which country, language, location, device, search type, page, and time range?

That is the difference between random search output and usable SERP data.

FAQ

What is the most important Google Search parameter?

The query parameter is the most important because it defines the search intent. But for developer workflows, query alone is not enough. Country, language, device, location, search type, and collection time are also important.

What is the difference between country and location?

Country sets a broad market context. Location is more precise and can target a city, region, postal code, neighborhood, or coordinates.

Why does device matter in Google Search results?

Desktop and mobile search results can differ in rankings, layout, snippets, ads, and SERP features. Developers should store device context with each result.

Should developers store search parameters with every result?

Yes. Search parameters explain how the result was collected. Without them, historical comparison and debugging become unreliable.

Are Google Search parameter names the same across all APIs?

No. Google-style parameters, SERP APIs, workflow tools, and SDKs may use different names. Developers should understand the underlying concept and map it to the provider’s syntax.