The best SerpAPI alternatives & competitors, compared

What is Exa?

Exa is a search engine built for software rather than people. Given a query, it searches its own index and returns ranked results with extracted page text and highlights. Because the search is semantic, a query like "startups building humanoid robots in Europe" works as written.

Beyond search, Exa offers Contents for extracting text from URLs you already have, Answer for a cited response in one request, Deep Search for multi-step research, and Monitors for tracking new content over time.

Key features

• Search by meaning. Neural search over its own index. Keyword mode costs $2.50 per 1,000 requests; auto mode picks between the two for you.
• Page content included in responses. A standard Search call ($7 per 1,000 requests) includes extracted text and highlights for up to ten results. Most alternatives return links and bill separately for content.
• Category-specific search. Filters for companies, people, and publications, with structured metadata.
• Answer and Deep Search. Cited answers cost $5 per 1,000 requests. Multi-step research runs cost $12 to $15 per 1,000.
• Contents and Monitors. Extracting text from URLs you already have costs $1 per 1,000 pages. Scheduled searches that watch a topic cost $15 per 1,000.
• Published rate limits. 10 queries per second on Search, 100 on Contents, and 10 on Answer.

Comparison with SerpAPI

Exa and SerpAPI do different jobs. SerpAPI parses what other search engines display. Exa searches its own web index by meaning and returns the pages with their text. Exa cannot tell you what ranks on Google.

Key technical differences between Exa and SerpAPI

• Exa searches its own index and returns page text and highlights. SerpAPI parses a results page into structured JSON.
• Exa charges a flat $7 per 1,000 requests. SerpAPI charges $25 a month for 1,000 searches ($0.025 each), falling to $0.009 per query at volume.
• Exa searches by meaning, so it finds pages whose wording does not match the query. SerpAPI reports what Google matched on keywords.
• Exa cannot report Google rank positions, knowledge panel content, or local variations. SerpAPI is built for exactly that.

Key similarities between Exa and SerpAPI

• Both are self-service with published pricing and a free tier.
• Both return ranked results with URLs and metadata.
• Both bill by the search rather than per seat.
• Both maintain official SDKs in the major languages.

Exa primary use cases

There are few direct benchmarks between SerpAPI and Exa, because the two do different jobs. In Exa's own evaluations across three tracks, it placed the right profile first in 75.5% of 200 people lookups, 81.5% of company lookups, and 63.3% of research paper searches, with a median latency of 472 milliseconds. Teams pick Exa when the next step needs the page text, not a rank position.

Bottom line

Exa fits pipelines that pull page content for a language model and do not care about SERP rankings. Monitoring what Google displays across regions or engines is a job for SerpAPI or one of the SERP APIs below.

What is Serper?

Serper returns Google search result pages as structured JSON, with low latency and low prices, and shows up in most developer comparisons. It covers Google only. Its pricing page renders client-side, so rates and free-tier terms could not be verified for this guide.

Key features

• Google SERP as JSON. Organic results and SERP features as structured fields.
• Speed. Named across buyer's guides as a fast, cheap way to get Google results.
• Google only. No Bing, Yahoo, or other engines; multi-engine work needs a second tool.
• Pricing not verifiable. The pricing page renders client-side, so exact rates could not be confirmed.

Comparison with SerpAPI

Serper is the usual cheap, simple alternative to SerpAPI for Google-only work. It returns Google's results page as JSON, fast, with little setup. Its pricing renders client-side and could not be verified.

Key technical differences between Serper and SerpAPI

• Serper covers Google only. SerpAPI covers Google, Bing, Yahoo, YouTube, Baidu, and more.
• Serper's pricing could not be verified. SerpAPI publishes monthly plans from $25 to $275.
• Serper returns organic results and the main SERP features. SerpAPI parses every block on the page.
• Serper documents no verifiable free tier. SerpAPI gives 250 free searches a month.

Key similarities between Serper and SerpAPI

• Both parse the results page into JSON rather than extracting page content.
• Both target rank tracking and SERP analytics rather than model context.
• Both are self-service with no sales call.
• Neither does semantic search; both return keyword matches.

Serper primary use cases

Serper is used for Google-specific rank monitoring and SERP tracking, where one engine is enough.

Bottom line

Serper fits cost-conscious projects that need Google data only. Multi-engine work or local results across many regions gets more from SerpAPI's deeper parsing.

What is SearchApi?

SearchApi returns structured JSON from several search engines, with location targeting as a core feature. The Developer tier costs $40 a month for 10,000 searches ($4 per 1,000), Production $100 a month ($3 per 1,000), and BigData $250 a month ($2.50 per 1,000). Developer carries a 99.9% SLA; higher tiers add legal protection.

Key features

• Geo-targeting. Results as they appear in a given city or country.
• Multi-engine JSON. A simpler API surface than the deep-parsing platforms.
• $4 to $2.50 per 1,000. Across Developer, Production, and BigData plans from $40 a month.
• 99.9% SLA. On the Developer tier, with legal protection on enterprise plans.

Comparison with SerpAPI

SearchApi covers several engines with a simpler API and built-in geo-targeting. Pricing runs from $4 per 1,000 searches on Developer to $2.50 on BigData with a 99.9% SLA, which is cheaper per query than SerpAPI's entry tier.

Key technical differences between SearchApi and SerpAPI

• SearchApi charges $4 to $2.50 per 1,000 searches by plan. SerpAPI costs $25 per 1,000 at entry and falls to $9 at volume.
• SearchApi leads with geo-targeting. SerpAPI leads with detailed on-page feature parsing, with location as a setting.
• SearchApi returns a simpler set of SERP features. SerpAPI extracts every block on the results page.
• SearchApi includes a 99.9% SLA on Developer. SerpAPI markets a legal shield of up to $2 million.

Key similarities between SearchApi and SerpAPI

• Both query several major search engines.
• Both turn results pages into typed JSON.
• Both offer self-service plans with legal protection options for enterprise.
• Neither extracts page content, so RAG work still needs a scraper.

SearchApi primary use cases

SearchApi is used for local rank tracking across cities and engines, where a fixed per-search price and an SLA make budgeting simple.

Bottom line

SearchApi fits regional rank tracking across many cities at lower cost. Applications that need every SERP feature parsed stay with SerpAPI.

What is DataForSEO?

DataForSEO sells SEO analytics at scale across more than seventeen Google endpoints and other engines, priced pay-as-you-go with a queued option. Per-query rates sit behind an interactive calculator that could not be read; the one confirmed number is a $50 minimum deposit. Reviews agree its asynchronous design does not suit real-time use.

Key features

• Queued, pay-as-you-go pricing. Cheaper rates for work that can wait.
• Seventeen or more Google endpoints. Plus other engines, for SEO analytics at volume.
• $50 minimum payment. Rates come from a calculator rather than fixed tiers.
• Built for batch. Asynchronous delivery rules out user-facing requests.

Comparison with SerpAPI

DataForSEO targets high-volume collection with pay-as-you-go and queued options across seventeen Google endpoints. It is built for scheduled batches, not live responses. Pricing comes from a calculator, with a confirmed $50 minimum.

Key technical differences between DataForSEO and SerpAPI

• DataForSEO queues requests for later delivery at lower cost. SerpAPI returns live.
• DataForSEO prices through a calculator with a $50 deposit. SerpAPI publishes fixed monthly tiers.
• DataForSEO's asynchronous design does not suit a request someone is waiting on. SerpAPI is built for synchronous calls.
• DataForSEO publishes no readable free tier. SerpAPI gives 250 free searches a month.

Key similarities between DataForSEO and SerpAPI

• Both cover Google and several other engines.
• Both return SERP data as structured fields.
• Both target SEO measurement and rank tracking rather than model context.
• Neither extracts page content from the result links.

DataForSEO primary use cases

DataForSEO is used for scheduled, high-volume rank monitoring across large keyword sets, where queued delivery cuts cost and latency does not matter.

Bottom line

DataForSEO fits scheduled batch jobs at a scale where SerpAPI's live pricing gets expensive. It does not suit interactive applications.

What is ScraperAPI and ScrapingBee?

ScraperAPI and ScrapingBee are proxy-based scrapers: send a URL and get the raw HTML back through rotating proxies with automatic retries. ScraperAPI starts at $49 a month for 100,000 credits with 20 concurrent connections and goes up to $299 a month for three million.

ScrapingBee runs from $49 a month for 250,000 credits to $599 a month for eight million with 400 concurrent requests. Neither parses search results into structured fields.

Key features

• Rotating proxies and retries. A blocked request is retried through another address.
• ScraperAPI from $49 a month. 100,000 credits and 20 concurrent connections, up to $299 for three million.
• ScrapingBee from $49 a month. 250,000 credits and 50 concurrent connections, up to $599 for eight million.
• Raw pages, not parsed SERPs. You get the HTML; the parser is yours to write.

Comparison with SerpAPI

ScraperAPI and ScrapingBee fetch whole pages rather than parsed result fields. What you pay for is proxy rotation, fingerprint evasion, and retries. They are here because teams that want the pages behind the search links weigh them against SerpAPI.

Key technical differences between the proxy scrapers and SerpAPI

• The proxy scrapers return raw HTML. SerpAPI returns parsed search results.
• The scrapers sell credit plans from $49 a month with set concurrency limits. SerpAPI bills per search from $25 a month.
• Getting rank data from a scraper means writing the parser SerpAPI ships.
• The scrapers reach any site with anti-bot protection. SerpAPI reads search engines only.

Key similarities between the proxy scrapers and SerpAPI

• Both are self-service with published plans.
• Both bill by request or credit rather than per seat.
• Both collect web data at scale.
• Neither does semantic search.

ScraperAPI and ScrapingBee primary use cases

Proxy scrapers are used to pull raw HTML from sites with anti-bot protection, by teams that already maintain their own parsers.

Bottom line

Proxy scrapers fetch whole pages from protected sites, which SerpAPI does not do. Using them for rank tracking means writing and maintaining an HTML parser.

What is ZenRows?

ZenRows is a managed scraping API built to get past anti-bot systems, with proxy rotation and request handling included. The free tier gives 5,000 credits a month with 5 concurrent requests; paid plans run from $16 a month for 45,000 credits to $456 a month for five million. Unused credits roll over to the next month.

Key features

• Anti-bot handling. Proxy rotation and request management to reach protected pages.
• 5,000 free credits a month. Paid plans from $16 a month for 45,000 credits to $456 for five million.
• Concurrency by plan. 5 concurrent requests on the free plan, 20 on Build, up to 200 on Scale.
• Credits roll over. Unused credits carry into the next billing period.

Comparison with SerpAPI

ZenRows is managed scraping with proxy rotation and anti-bot evasion. Like the other proxy scrapers, it returns whole HTML pages rather than parsed results, and adds a large free tier, credit rollover, and tiered concurrency. It suits teams that want the pages behind the search links, which is outside SerpAPI's SERP-only scope.

Key technical differences between ZenRows and SerpAPI

• ZenRows fetches raw HTML through rotating proxies. SerpAPI returns parsed result fields.
• ZenRows gives 5,000 free credits a month, then $16 to $456 plans. SerpAPI gives 250 free searches, then $25 to $275 plans.
• ZenRows rolls unused credits over. SerpAPI's search allowance expires monthly.
• ZenRows reaches protected sites across the web. SerpAPI reads search engines only.

Key similarities between ZenRows and SerpAPI

• Both are managed, self-service platforms with clear plan tiers.
• Both bill by query volume or credits rather than per seat.
• Both handle high-volume web data collection.
• Neither does semantic search or returns model-ready context.

ZenRows primary use cases

ZenRows fits cases where the target sites are hard to reach and running your own proxy infrastructure no longer makes sense.

Bottom line

ZenRows is a good scraper for protected pages. For rank tracking, it returns raw page source where SerpAPI returns parsed fields.

What is Bright Data?

Bright Data sells enterprise data collection: a SERP API from $1 per 1,000 requests, Unlocker and Crawl APIs at $1 per 1,000, a Browser API at $5 per GB, scraper APIs at $0.75 per 1,000 records, and ready-made datasets from $25. Several products have free tiers. Reviews note that the breadth comes with more setup than developer-focused tools.

Key features

• SERP API from $1 per 1,000 requests. The same entry price as its Unlocker and Crawl APIs.
• Browser API from $5 per GB. Renders pages that need a full browser to load.
• Scraper APIs from $0.75 per 1,000 records. Plus ready-made web datasets from $25.
• Enterprise breadth. With the configuration and procurement process that comes with it.

Comparison with SerpAPI

Bright Data serves enterprise-scale needs, with a SERP API from $1 per 1,000 requests, the lowest rate on this page. Around it sit Unlocker, Crawl, Browser, and scraper APIs plus datasets. Setup takes longer, because the platform is wide.

Key technical differences between Bright Data and SerpAPI

• Bright Data's SERP API starts at $1 per 1,000 queries. SerpAPI's entry tier works out to $25 per 1,000.
• Bright Data is a wide enterprise platform with real setup work. SerpAPI is a focused, developer-first API.
• Bright Data sells Unlocker, Crawl, Browser, scraper APIs, and datasets. SerpAPI does SERP parsing only.
• Bright Data's free terms vary by product. SerpAPI's tier is a flat 250 searches a month.

Key similarities between Bright Data and SerpAPI

• Both cover Google and other engines.
• Both return structured search engine data.
• Both handle high-volume SEO and enterprise data programs.
• Neither returns model-ready context from the pages behind the links.

Bright Data primary use cases

Bright Data fits large web data programs where the setup and procurement effort pays off.

Bottom line

Bright Data fits enterprise programs with procurement already in place, and its SERP pricing is a fraction of SerpAPI's. A small team that wants to ship this week will be up and running on SerpAPI sooner.