Last reviewed and updated in August 2026.
Choosing a SERP API is less about finding a universal winner and more about matching the product model to your workflow. Some tools provide dedicated endpoints for Google verticals. Others are built for multi-engine SEO data, flexible web-data extraction, or actor-based automation.
This guide keeps the same eight products and focuses on the facts that are practical to verify: what each product is designed to return, how its integration model works, and when it is worth evaluating. Prices, throughput, and product coverage can change, so treat the linked official pages as the source of truth before committing to a plan.
What a SERP API is useful for
A SERP API sends a query to a search surface and returns search-page data in a programmatic format, commonly JSON. It can help teams avoid maintaining their own collection, rendering, and parsing stack when they need search results for a specific country, language, device, or search vertical.
Common uses include:
- SEO and visibility work: monitor rankings, result features, queries, and competitor pages.
- Local and commerce research: collect map, shopping, review, or product-ad data where a provider supports that search surface.
- Sales research: turn search results into a starting set of companies, directories, or pages for follow-up research.
- AI and data workflows: supply a structured search response, Markdown, or a selected set of fields to an agent or downstream pipeline.
Before comparing providers, define four things: the search surface you need, target locations/languages, the fields that must be present, and whether your workload is an interactive request or a scheduled batch. A provider can be excellent for Google Maps yet be the wrong choice for multi-engine monitoring or schema-specific extraction.
How to compare SERP APIs responsibly
Avoid treating marketing response-time claims or a single public price as a permanent benchmark. A fair evaluation uses your own representative queries and checks:
- Search-surface coverage. Do you need Google web, Maps, Shopping, News, Scholar, another engine, or an answer engine?
- Output model. Is a fixed response schema sufficient, or do you need raw HTML, Markdown, an Actor, or a custom extraction schema?
- Location and language controls. Verify the precise country, city, language, device, and domain controls for the endpoint you will actually call.
- Billing scope. Check whether a plan is priced per search page, API credit, queue priority, compute use, or a product-specific unit.
- Operational fit. Test real queries, responses, and retries before treating any vendor as suitable for a production-critical workflow.
1. Thunderbit
Thunderbit is an AI agent for web scraping rather than a conventional fixed-schema SERP API. Its Web Scraper API can distill a URL into Markdown or extract structured data according to a schema, which is useful when a workflow spans search results and other web pages instead of one predefined Google endpoint.
Key capabilities
- Distill: converts a page into clean Markdown for research, retrieval, or downstream processing.
- Extract: uses a field schema to return structured data from a page.
- Technical access paths: the Web Scraper API, MCP Server, and CLI support programmatic and agent-oriented workflows.
- Browser workflow: AI Suggest Fields proposes fields; after review, one click on Scrape starts extraction.
Pricing and fit
Thunderbit’s API uses a usage-based model. Check the current API pricing for the applicable units, plan limits, and concurrency before sizing a workload.
Best for
Teams that need schema-led extraction or Markdown across varied web pages, including SERPs, rather than a fixed search-engine response alone. It is particularly relevant when a developer or AI agent needs the same workflow to continue from a search result into a page-level extraction task.
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2. SerpApi
SerpApi provides dedicated search-engine APIs. Its documentation includes Google Search as well as Google verticals such as Maps, Shopping, News, and Scholar; it also documents location, country, language, device, and pagination controls.
Key capabilities
- Dedicated endpoints and result documentation for many Google surfaces.
- Location and language parameters for Google Search requests.
- Structured result fields for the search features documented for the selected endpoint.
Pricing and fit
SerpApi publishes plan and usage information on its pricing page. Plans, throughput, and enterprise terms should be checked directly before purchase.
Best for
Teams that need a documented, fixed API for Google search verticals and want to select the endpoint that matches the surface they are monitoring.
3. Serper
Serper is a Google-focused API. Its public product page presents Search, Images, News, Maps, Places, Videos, Shopping, Scholar, Patents, and Autocomplete surfaces.
Key capabilities
- Google search surfaces exposed through a compact API product.
- Example output that includes common search-result elements such as organic results and knowledge-graph data.
- A free signup allowance shown on the product page for testing representative requests.
Pricing and fit
Use the current Serper site for credit rules and paid-plan pricing. Do not assume a query always costs the same across endpoints or result shapes without checking the current product terms.
Best for
Developers who primarily need Google search surfaces and want to validate whether the output and billing model fit their application.
4. Scrapingdog
Scrapingdog offers a Google SERP API that returns structured JSON. Its product page describes organic results, ads, maps, and SERP features, and it shows a public plan structure based on request credits and concurrency.
Key capabilities
- Structured JSON for Google result data.
- Query and location inputs for an API request.
- Public plan information that includes credits, concurrency, and geotargeting at the listed plan levels.
Pricing and fit
The current product page describes a credit-based plan structure. Because credit consumption depends on the specific request and service terms, confirm the credit cost for your chosen SERP workflow on the official page.
Best for
Teams evaluating a dedicated Google SERP endpoint and a credit-based plan model with clear public starting points.
5. DataForSEO
DataForSEO is an SEO-data API suite. Its SERP API supports Google, Bing, YouTube, Yahoo, Baidu, Naver, and Seznam, with search-engine-specific endpoints and both parsed JSON and raw HTML options.
Key capabilities
- Multi-engine SERP coverage with Google Organic, Maps, News, Images, and other documented endpoint types.
- Parsed JSON or raw HTML output.
- Standard Queue, Priority Queue, and Live mode for different processing models.
Pricing and fit
DataForSEO’s pricing varies by endpoint and processing mode. Use the official pricing details for the selected endpoint and mode rather than extrapolating a rate to another feature or volume.
Best for
Teams building SEO, rank-tracking, keyword, or visibility products that need a broader data stack and are comfortable choosing an endpoint and queue mode deliberately.
6. Bright Data
Bright Data offers a SERP API with a public playground for Google, Bing, Yandex, and DuckDuckGo. Its product page describes delivery in JSON, HTML, or Markdown and provides controls for location and language.
Key capabilities
- Multiple search engines in the public product interface.
- JSON, HTML, or Markdown delivery options.
- Location and language controls for supported targets.
Pricing and fit
Bright Data's public product page states that billing is for successful delivery and invites users to start free. Verify the exact search-engine, delivery-format, and volume terms on the SERP API page before comparing it with a per-search or credit-based service.
Best for
Teams that need to evaluate a broader search-engine target set and different output formats under a single SERP product.
7. ScraperAPI
ScraperAPI is a general-purpose scraping platform rather than a SERP-only product. Its current offering includes a core scraping API, structured-data options, a crawler, and DataPipeline for larger collection workflows.
Key capabilities
- General web-scraping API for URLs and API endpoints.
- Structured-data and data-pipeline products alongside the core API.
- Current public plans describe credits, concurrency, geotargeting, and crawler access.
Pricing and fit
The public pricing page describes its current credit and plan structure. Credit usage varies by request configuration and target, so a generic "cost per SERP" comparison would be misleading.
Best for
Teams that want one provider to cover wider web-data collection and only need search results as part of that wider workflow.
8. Apify
Apify is a scraping and automation platform whose product behavior depends on the selected Actor. For this comparison, the relevant maintained product is Apify's Google Search Results Scraper, which can target country and language and return organic results, paid results, People Also Ask data, and other documented fields.
Key capabilities
- Maintained Google Search Results Scraper Actor with country and language targeting.
- API and scheduling paths through the Apify platform.
- Actor-specific output, input, and pricing rather than a single platform-wide SERP schema.
Pricing and fit
Check the exact Actor page for its current pricing and usage terms, because Actors can have different inputs, output schemas, and billing.
Best for
Teams that need a configurable automation workflow and are willing to choose and validate the specific Actor behind their SERP collection.
Documented capability matrix
| Provider | Documented product model | Useful when |
|---|---|---|
| Thunderbit | Schema-led extraction or Markdown from a URL | A search page is one step in a broader AI or web-data workflow |
| SerpApi | Dedicated search-engine endpoints | You need a specific documented Google vertical |
| Serper | Google-focused API surfaces | You primarily need Google search, maps, news, shopping, or related surfaces |
| Scrapingdog | Google SERP JSON API | You want a dedicated Google result-data endpoint |
| DataForSEO | Multi-engine SEO data API suite | You are building SEO or visibility workflows across documented engines and modes |
| Bright Data | Multi-engine SERP API with JSON/HTML/Markdown | Output format and target-engine options both matter |
| ScraperAPI | General scraping platform with structured-data options | SERP is one component of a broader collection program |
| Apify | Actor-based scraping and automation platform | You need to configure, schedule, or chain a particular Actor |
Do not read this as a universal feature checklist. Search-result layouts and product endpoints change. Before purchasing, run representative queries and verify the exact fields you need—such as People Also Ask, local results, shopping data, ads, AI results, or a raw page representation—on the endpoint or Actor you plan to use.
Pricing: compare the billable unit, not a headline number
The eight products do not share one pricing model. Some charge per search page, some use plan allowances or credits, some vary by endpoint or priority, and some charge at the Actor level. Instead of normalizing unlike units into one table, use this purchase checklist:
- Match the plan to the exact search surface and mode you will call.
- Confirm whether a page, task, credit, successful delivery, or compute use is billable.
- Check whether location, device, depth, rendering, or an advanced feature changes cost.
- Run a small production-like sample and compare the actual billable units with the output you received.
- Recheck the official pricing page immediately before approving a budget.
SERP APIs in AI and data workflows
For AI-agent and data-pipeline work, the critical question is often not which tool is “best,” but what the downstream system needs to consume:
- Fixed, endpoint-specific JSON: evaluate SerpApi, Serper, Scrapingdog, DataForSEO, Bright Data, or the chosen Apify Actor according to the documented search surface.
- SEO data across engines and modes: evaluate DataForSEO's specific endpoint and queue model.
- Search plus broader collection automation: evaluate ScraperAPI or Apify with the intended workflow, not just a platform overview.
- Schema-specific extraction or Markdown: evaluate Thunderbit's API. Its MCP Server and CLI make the same Distill and Extract capabilities accessible to compatible agents and terminal workflows.
For any provider, store real sample responses and validate field names, location behavior, retry semantics, and billed units before relying on it in a production pipeline.
A practical selection guide
| If your priority is… | Start by evaluating… | What to verify first |
|---|---|---|
| Google verticals such as Maps, Shopping, News, or Scholar | SerpApi | The exact endpoint and fields for the vertical |
| Google-focused result data | Serper or Scrapingdog | Endpoint coverage, request credits, and result shape |
| Multi-engine SEO and visibility data | DataForSEO | Engine, endpoint, queue mode, and billable unit |
| Multi-engine SERP output formats | Bright Data | Target engine, delivery type, and pricing scope |
| Search plus general web collection | ScraperAPI | Credit usage for the exact target and configuration |
| Configurable or scheduled scraping workflows | Apify | The maintained Actor's input, output, and price |
| Agent-led, schema-specific extraction across search and web pages | Thunderbit | Schema results, Markdown quality, API/MCP/CLI integration, and units |
How Thunderbit fits into a SERP workflow
Thunderbit is useful when the useful output is not limited to a conventional SERP response. A workflow can distill a search page into Markdown, extract selected fields from it, then use the same schema-led approach on the result pages that matter.
For browser-led exploration, AI Suggest Fields proposes the columns and one click on Scrape starts extraction after review. For a programmatic pipeline, use the Web Scraper API, MCP Server, or CLI according to the integration path your team already uses.
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A note on responsible use
Search-result collection can be subject to provider terms, search-engine terms, privacy rules, and laws that vary by jurisdiction and use case. Use a provider according to its terms, minimize collection of personal data, and seek legal advice for high-risk or regulated use cases.
Conclusion
The best choice depends on the search surface, output model, and operational workflow you actually need:
- Choose SerpApi when a documented Google vertical endpoint is the deciding factor.
- Evaluate Serper or Scrapingdog for a Google-focused API workflow after testing their current response and credit model.
- Consider DataForSEO for multi-engine SEO data and deliberate queue-mode selection.
- Evaluate Bright Data where target-engine choices and JSON/HTML/Markdown delivery matter.
- Consider ScraperAPI or Apify when SERP collection is part of a broader scraping or automation program.
- Use Thunderbit when an AI agent or data workflow needs schema-specific extraction or Markdown across SERPs and the web pages beyond them.
Run a small, representative evaluation before committing: test the exact location and query type, compare the fields you receive, verify billed units, and recheck current official documentation.
FAQs
What is a SERP API?
A SERP API returns data from a search-results page in a programmatic form. Depending on the product and endpoint, that can include organic results, ads, maps, related queries, search features, raw HTML, Markdown, or other documented fields.
Which SERP API is best for AI agents?
There is no universal answer. Pick an endpoint-specific API when your agent needs a stable predefined result shape. Consider Thunderbit when the agent needs Markdown or a schema-led extraction that can continue from a SERP into other web pages. Validate the actual response and integration path before production use.
How should I compare SERP API costs?
Compare the billable unit for the exact endpoint and workload: search page, task, credit, successful delivery, or Actor usage. A cross-vendor “cost per 1,000” chart can be misleading when the products measure different outputs.
What fields should I test before buying?
Test the exact fields your workflow depends on, such as organic results, ads, People Also Ask, local results, shopping results, AI results, result depth, location behavior, raw HTML, or Markdown. Save representative output and confirm how retries and billing behave.
Can I use a SERP API with a scheduled workflow?
Many products offer programmatic workflows, but the mechanism differs. DataForSEO provides queue and live modes, Apify can run Actors through its API and scheduling tools, and Thunderbit offers API, MCP Server, and CLI paths. Check the current documentation for the particular product and endpoint.
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