DataForSEO Alternatives in 2026: 11 SEO Data APIs Priced per 1,000 Calls

The best DataForSEO alternatives in 2026 are Serper for cheap Google result pages, at $1.00 per 1,000 on its $50 pack, cloro for pages that carry Google's AI Overview, SerpApi or SearchApi when your lawyers want an indemnity, the API of whichever suite you already report from, and Honeyb, our own product, when the question is whether an AI answer named your brand. DataForSEO itself still prints the lowest price per page, $0.60 per 1,000 in its standard queue, so the good reason to switch is a job it does awkwardly, and the price per page is rarely that reason.

That is also what the AI engines think. Ask ChatGPT, Claude, Gemini or Perplexity for a DataForSEO alternative and, in a Honeyb audit of 60 answers on 6 September 2026 described below, every one of them answered with DataForSEO. That is the market speaking rather than a bug in the engines: DataForSEO wins because it sells every kind of SEO data by the unit, with no subscription and no per-seat fee, and nobody else matches that catalogue.

So the useful question is "which of its jobs am I actually buying?", because the alternatives split cleanly into three groups that barely compete with each other. SERP-only APIs undercut it on raw result pages, the big suites beat it on curated keyword and backlink data if you already pay for a subscription, and a new class of API, which includes Honeyb, sells the thing DataForSEO's catalogue only half covers: what the AI answer itself said about you.

This piece sorts the field by job, then does the per-call arithmetic that the pricing pages leave to you, then reviews the eleven alternatives one at a time with a screenshot of each vendor's own page, captured on 10 October 2026. Every price is quoted in the currency, period and unit it was printed in.

Those three figures come from a Honeyb audit on 6 September 2026 in which fifteen developer questions about SEO data APIs were put to four engines with web search on, 60 answers in all. DataForSEO was named in 53 of the 60 answers, it was named first in 24, twice the first-mention count of the runner-up, SerpApi, and on the prompt "DataForSEO alternatives?" all four engines led with DataForSEO, which is the third tile.

For a founder who plans to be recommended by these engines, that is the sobering part: the incumbent owns the switcher question too, and a listicle that merely lists five cheaper vendors will not move it.

Why cheaper SERP vendors became real alternatives to DataForSEO

For years the cheapest way to get a top-100 Google result page was one request with &num=100 on the end, until Google dropped the parameter, a change Locomotive Agency walks through for Search Console owners and one Optimizely's field note says sent, for anyone tracking deep positions, infrastructure costs increased 10x overnight, because a tracker that wants 100 results now makes ten requests instead of one.

SerpApi shipped a workaround the same week, a Google Fast Light endpoint that returns 100 results in one call, which tells you how much of the market's bill is that one page. The landing line for a buyer is simple: since that change, the per-page price of a SERP is the whole cost of rank tracking, so the vendors that sell pages by the thousand became a real alternative to the vendor that sells everything.

How do the alternatives compare on price and on the job they do?

Every figure in the table below is our reading of the vendor's live pricing page, first on 28 September 2026 and again on 10 October 2026, in the unit each page prints.

Two things the table cannot show. First, "per page", "per item", "per credit" and "per row" are not the same unit, and a Labs call at DataForSEO that returns 1,000 keyword rows is one task plus 1,000 items, which came to $0.132 in our own account on 29 September 2026; a SERP API charges you one search for the same row count of results.

Second, the suites do not sell data to non-subscribers at all: Semrush's API sits behind a monthly subscription rather than a balance you top up, and Ahrefs prices its API access inside the same tiers a marketing team already buys, so for them the marginal cost of the API is close to zero while for a developer starting from nothing it is the whole subscription.

Per-call price math: what 1,000 keyword checks really cost

A pricing page quotes the cheapest unit it sells, and a rank tracker rarely buys that unit. The table below prices three real jobs for 1,000 keywords: the first page of Google, the first page with its AI Overview, and the top 100 results, which since Google retired num=100 means ten pages of ten. Each cell is arithmetic on the vendor's printed price at its entry paid tier unless the cell says otherwise.

Three findings change the decision. The cheapest top-10 page is still DataForSEO's queue, at $0.60, if you can wait minutes for results; in live mode it costs more than Serper or cloro. The AI Overview roughly doubles DataForSEO's live price, because its documentation charges an extra $0.002 for loading an asynchronous AI Overview and bills "per each SERP containing up to 10 results", which is how 1,000 top-100 checks reach $20.00 live against $8.40 on cloro's Hobby plan. And the legal-cover vendors cost three to ten times more per page, which is the price of the indemnity, so pay it only if someone has asked for one.

Two caveats keep the table honest. The "one search per page" cells are our assumption for vendors that do not print a deep-result price, and cloro's sync requests carry a two-credit surcharge on its page, so its live-mode figure is $2.00 per 1,000 top-10 pages, still level with DataForSEO's live price before the AI Overview.

When you only need raw result pages, who is cheapest per thousand?

If what you want is Google's page as JSON, several thousand times a day, DataForSEO is still hard to beat on the printed price, from $0.0006 per SERP queued to $0.002 live, which is $0.60 and $2.00 per 1,000 pages. Serper is the clear second at $1.00 per 1,000 on its $50 prepaid pack, falling to $0.30 at $3,750, and it was the engines' own pick when the question was a budget LLM agent: in our audit, three of the four engines named Serper first on "SerpApi vs DataForSEO vs Serper: which one for an LLM agent?".

SearchApi and SerpApi cost more per page than any of those but bundle a legal protection guarantee, which is the thing you are paying for at SerpApi, where the Production plan, the first with its U.S. Legal Shield, works out to $10 per 1,000 searches ($150 a month for 15,000), or at SearchApi's $3, the rate of the $100 plan that is the first to list the guarantee, backed by up to $2 million of coverage, the same amount SerpApi's U.S. Legal Shield now prints. Bright Data's SERP API is $1.50 per 1,000 requests pay as you go with a 5,000-record monthly free tier, and hands you the page rather than a parsed object, so it suits a team with its own parser.

The verdict for job one is that a queued DataForSEO task or a Serper pack wins on price, cloro wins once you want the AI Overview with every page, and you move up to SearchApi or SerpApi when your counsel asks who indemnifies the scrape.

When you report from a suite, use the suite's own API

DataForSEO's Labs and Backlinks APIs are where it earns the "firehose" reputation, and they are cheap by the item, at $0.012 per task plus $0.00012 per item on the Labs page after the roughly 20% rise it announced on 1 July 2026, but the data is DataForSEO's own index. If your team already lives in Semrush or Ahrefs, their APIs return the numbers your reports already show, from the same index, which is worth more than a lower unit price when a client asks why two tools disagree.

Moz's API is the odd one out: cheap, by the row, with Starter plans from $20 to $75 a month, and a free allowance of 50 rows a month, and it is honest about being a links-and-authority dataset rather than a full suite. SE Ranking sits between the two models, with pay-as-you-go credits, the API bundled into its $129 Core and $279 Growth plans, and an MCP server (MCP being the plug that lets an AI assistant such as Claude or Cursor call the API directly).

That is the real split in the market: teams that report from a suite use its API so the numbers match the dashboard the client already sees, while teams building their own tooling pull from a data-first vendor and accept that the figures will differ from whatever suite the client opens next. The engines reproduce the same split when asked which provider agencies' internal dashboards use, with ChatGPT naming Semrush and Claude and Gemini naming DataForSEO in our audit, so a buyer should expect to be pointed both ways and decide on which of the two workflows they run.

When the question is whether the AI named you, buy the classified answer

This is the job DataForSEO's catalogue covers least, and it is the one that decides whether a buyer who asks an assistant for a vendor ever hears your name. DataForSEO's AI answer endpoints will fetch you a real ChatGPT answer through its LLM Scraper, and in our account a prompt through that endpoint cost about $0.004 in September 2026, which is excellent value for the raw text. cloro sells the same raw layer across five engines, at 7 credits for a full ChatGPT response on its pricing page.

What neither does is tell you whether your brand was named, where in the answer, with what sentiment, and which pages the engine cited to get there; that classification is the product. Honeyb's AI visibility API and AI mentions API return exactly that, for $0.08 per answer on any of eight engines, from prepaid credits with no subscription.

The caveat, in the same breath, is that Honeyb is young and narrow: its SERP, keyword and backlinks lines are in early access, it has no Google Trends or business-data endpoints, and a team that needs the whole SEO catalogue from one vendor will still buy that catalogue from DataForSEO and add Honeyb for the answer layer.

The engines themselves were undecided on this job: on "best AI visibility API or LLM mentions API?" the four engines named four different first choices, which means the category has no incumbent yet, and that is the opening.

The reason the answer layer matters more each quarter is in the data on how these answers behave. In a SparkToro and Gumshoe study of nearly 3,000 runs, reported by Search Engine Land, the same question returned the same list of brands less than 1% of the time, so the answer a buyer saw this morning is not the answer the next buyer will see this afternoon, and one API call tells you almost nothing on its own.

Semrush's citation analysis found that 62% of AI citations never name the brand whose page is cited, so being the source of an answer and being named in it are different outcomes that only a classified answer can separate. That is why a measured AI visibility score is a distribution over many runs and not a screenshot. It also explains why an AI rank tracker is a different product from a SERP API with an AI Overview field bolted on.

The 11 DataForSEO alternatives, one by one

Each entry gives the job the vendor wins, its entry price, one strength and one limit, with a screenshot of the vendor's own page captured on 10 October 2026. Honeyb is ours and is held to the same four lines.

Building on AI answer data?

The Honeyb API returns AI search visibility as JSON: which brands each engine named, in what position, with what sentiment and which pages it cited. $0.08 per answer, no subscription.

Get API access

1. Honeyb (ours): best for classified AI answers

Best for: products and agencies that need to know whether ChatGPT, Gemini, Perplexity, Claude, Google AI Mode, AI Overviews, Grok or DeepSeek named a brand. Starting price: $0.08 per answer, prepaid, no plan. Strength: the answer comes back already classified, with mention, position, sentiment and cited pages. Limit: the SERP, keyword and backlinks lines are in early access, so it does not replace DataForSEO's catalogue.

2. Serper: best for cheap, fast Google pages

Best for: agents and apps that call Google many times a day. Starting price: $50 for 50,000 credits, $1.00 per 1,000, with credits valid for six months. Strength: the lowest live per-page price we found, falling to $0.30 per 1,000 at $3,750. Limit: Google only, and no legal guarantee on its page.

3. cloro: best for SERPs with the AI Overview attached

Best for: rank trackers that need Google and the AI engines through one key. Starting price: free 500 credits a month, then $30 a month for 37,500 credits. Strength: the AI Overview comes with the page for 5 credits, $2.00 per 1,000 on the $100 plan. Limit: it returns raw answers, so brand classification is still your code, and the credit maths needs a spreadsheet.

4. SerpApi: best for breadth of engines and legal cover

Best for: teams that need many search engines as parsed JSON, with an indemnity. Starting price: $25 a month for 1,000 searches; free 250 a month. Strength: the U.S. Legal Shield, up to $2 million of coverage, from the $150 Production plan. Limit: the most expensive per page here, $10 per 1,000 on Production.

5. SearchApi: best value with a legal guarantee

Best for: the SerpApi job at a lower page price. Starting price: $40 a month for 10,000 searches; 100 free requests. Strength: the Legal Protection Guarantee arrives on the $100 plan at $3 per 1,000. Limit: monthly plans only, so a spiky workload pays for unused searches.

6. Bright Data SERP API: best for teams with their own parser

Best for: high-volume scraping where unblocking matters more than parsing. Starting price: $1.50 per 1,000 requests pay as you go, with a free tier of 5,000 records a month. Strength: its proxy network and pay-per-success billing. Limit: you get the page, and the parsing is yours.

7. SE Ranking API: best for agencies that want a suite and an API in one bill

Best for: small agencies that report from SE Ranking. Starting price: included in the $129 Core plan with 25,000 API credits. Strength: an AI Search API and an MCP server alongside keyword and backlink data. Limit: the figures are SE Ranking's index, which will not match a client's Semrush or Ahrefs dashboard.

8. Semrush API: best when your clients read Semrush

Best for: agencies whose reports already come from Semrush. Starting price: the Advanced plan at $549 a month, then API units on top. Strength: the numbers match the dashboard the client sees. Limit: a subscription before the first call, and units bought separately.

9. Ahrefs API: best for backlink depth

Best for: link-led teams that already pay for Ahrefs. Starting price: API units come with paid plans from Lite at $129 a month, per Ahrefs' plan comparison. Strength: one of the deepest live backlink indexes. Limit: row caps per request on the lower tiers, and unlimited rows only on Enterprise.

10. Moz API: best for links and authority on a small budget

Best for: dashboards that need Domain Authority and link metrics. Starting price: Starter from $20 a month; free access at 50 rows a month. Strength: sold by the row, so small jobs stay small. Limit: links and authority only, with no SERP or AI answer data.

11. Similarweb API: best for traffic and market data

Best for: investors and strategy teams sizing competitors by traffic. Starting price: not published; its developer page sells the API on Business or Enterprise plans or as a standalone package, on a data-credit model. Strength: traffic, app and technographic data no SERP vendor has. Limit: a sales conversation before the first call, and no per-call price to plan with.

Which is the best SEO API for each job?

There is no best SEO API, only a best one for the call you make most, and most teams shopping for SEO API tools end up buying two. The table below is the verdict of the sections above in one place, at the prices each vendor printed.

If two rows describe you, that is the normal case: a rank tracker that also reports AI answers buys pages from one vendor and classified answers from another, and the two bills together are usually smaller than one suite subscription.

Switching from DataForSEO without breaking production

Most migrations off DataForSEO are a SERP workload moving to a SERP vendor, and the work is smaller than it looks because the hard part, deciding what to keep, is a spreadsheet exercise. Five steps cover it.

• List your endpoints by spend. Pull a month of usage and sort it. SERP calls are usually the bulk and the easiest to move; Labs, Backlinks and Business Data have no like-for-like rival in this list, so they often stay.
• Replace the task envelope. DataForSEO's queued modes are a task_post, then tasks_ready, then task_get loop; Serper, SearchApi and SerpApi answer synchronously, so the polling code goes and a retry with backoff comes in.
• Map the fields once. Write one adapter from the new response to the shape your app already stores (rank, URL, title, SERP features, AI Overview text), so the rest of the code never knows the vendor changed.
• Run both for a week. Send the same 500 keywords to both vendors daily and compare positions; small differences in location and device settings explain most gaps, and the comparison tells you which ones.
• Cut over by job. Move the job you listed first, keep DataForSEO's balance for the endpoints you kept, and read the first full invoice before moving the next.

A team with one engineer can usually do the SERP part in a few days. The step people skip is the parallel week, and it is the one that catches the location setting that silently moved every rank by three places.

How to choose in ten minutes

Write down the one job that consumes 80% of your calls. If it is result pages, price DataForSEO's queued mode against a Serper pack, add cloro if you need the AI Overview with each page, and add a legal shield only if you have been asked for one. If it is suite data for reports, use the API of the suite you already pay for and stop reading. If it is the AI answer, buy the classified answer rather than the raw text, because the raw text is cheap and the classification is where the engineering time goes.

Then run one week of real traffic through the winner and read the invoice, because every vendor in the table prices a different unit and only your own volume converts them into money.

See what the engines say about you first. The free AI visibility check runs your brand's buyer questions through the same engines and shows who gets named, and that is the number every API in job three exists to move. If you are building rather than checking, the Honeyb API lists every line with its price and status, and access is a short form.