Best Ahrefs API Alternatives 2026: 5 SEO Data APIs Compared
DataForSEO is the best alternative to the Ahrefs API for most API-first products in 2026. It combines keyword data, backlinks, SERPs, domain intelligence, and AI-search endpoints, with pay-as-you-go pricing, rather than forcing the API buyer to pay primarily for a conventional SEO interface. SE Ranking is the strongest alternative for teams that want API data, AI search intelligence, and MCP access within the same ecosystem, while Semrush makes more sense for companies already committed to its data.
There is an important 2026 change behind this comparison: Ahrefs API access is no longer restricted to its highest-priced subscription. API v3, MCP Server and Ahrefs Connect are now available from Lite upwards. The decision is therefore less about escaping an API paywall and more about endpoint coverage, data freshness, batching, request economics, and the amount of engineering work each provider requires.
If you actually want to replace the Ahrefs application, rather than feed SEO data into software, use our best Ahrefs alternatives comparison. This guide is specifically for developers, agencies and product teams building dashboards, agents, reporting systems and automated SEO workflows.
Best Ahrefs API alternatives at a glance
| Provider | Best for | Backlinks | Keyword data | SERP and AI data | Agent integration | Billing model | Main limitation |
|---|---|---|---|---|---|---|---|
| DataForSEO | Best overall API-first alternative | Yes | Yes | Live and queued SERPs, AI-search endpoints | Official MCP | Pay as you go | Its proprietary metrics cannot be treated as Ahrefs DR or UR equivalents |
| SE Ranking | Best balance of SEO, AI and agent data | Yes | Yes | SEO, rank and AI Search data | Official MCP | Credits, wallet or standalone API | Credits per call vary considerably by endpoint and returned records |
| Semrush | Existing Semrush data stacks | Yes | Yes | SEO, traffic and AI-search data | Official MCP | Subscription plus API units | Unit consumption becomes expensive for large or historical responses |
| SerpApi | Live Google SERPs and AI result parsing | No Ahrefs-style backlink index | No comparable SEO keyword database | Excellent live SERP, AI Overview and AI Mode coverage | Direct API | Successful searches per month | It replaces SERP collection, not the full Ahrefs dataset |
| Majestic | Backlink-specific applications | Excellent specialist coverage | No equivalent full keyword database | No broad live SERP replacement | Direct API | Plan and resource based | Too specialised to replace Keywords Explorer and broader SEO APIs alone |
Ahrefs changed its API in 2026, so older comparisons start from the wrong problem
Much of the advice on Ahrefs API alternatives still assumes that developers need an Enterprise subscription to obtain meaningful API access. That is now outdated.
According to the Ahrefs API v3 documentation, Lite currently includes 100,000 API and integration units per month with up to 100 rows per direct API or MCP request. Standard increases this to 400,000 units and 250 rows; Advanced to 1 million units and 500 rows; and Enterprise includes 2 million units and removes the row cap.
There is still a reason to investigate alternatives. Ahrefs does not bill around a simple “one request equals one credit” model. A request has a base cost and may consume additional units based on the fields and rows returned. Non-Enterprise customers also have fixed allowances rather than an endlessly expandable pay-as-you-go balance.
That creates a different buying question: does your application need Ahrefs data specifically, or does it need dependable SEO data at a predictable marginal cost?
If DR, UR and Ahrefs-specific historical comparisons are embedded in client reports or product logic, retaining Ahrefs may be cheaper than rebuilding that logic around another dataset. If you mainly need raw SERPs, keywords, referring domains and competitor information, the alternatives become much more attractive.
1. DataForSEO is the best Ahrefs API alternative for API-first products
DataForSEO is my first choice where the API is the product infrastructure rather than an occasional integration. It covers SERPs, keyword data, backlinks, domain analytics, on-page data, and newer AI search use cases through a single pay-as-you-go account.
Its strongest advantage is architectural. You can choose queued SERP collection for inexpensive bulk jobs or pay more for live responses where latency actually matters. A nightly competitor-monitoring job and an interactive SERP feature should not share the same expensive request path.
For Google organic SERPs, current standard queue pricing starts at $0.0006 for a default SERP page, while Live mode starts at $0.002. The faster mode is more than three times as expensive, so applications should route workloads deliberately rather than defaulting every request to Live.
The same principle applies elsewhere. The current Backlinks API charges $0.024 for the request plus $0.000036 per returned row, making a 1,000-row pull $0.06. That gives developers much clearer marginal economics than trying to infer application costs from the sticker price of a conventional SEO subscription.
The hidden DataForSEO limitation is metric portability
Practitioner discussions around Ahrefs migrations repeatedly expose the same mistake: teams choose DataForSEO because the raw data is inexpensive, then expect its authority or ranking metrics to behave like Ahrefs’ DR and UR.
They do not.
Each provider builds proprietary scores from its own crawl, graph, modelling assumptions and update process. A DataForSEO rank of 1 cannot be safely converted to an Ahrefs DR value using a simple multiplier. Keyword difficulty and search-volume estimates have the same problem.
That means DataForSEO is often a good replacement for data acquisition, but a poor choice if the requirement is “return the same number Ahrefs returned”. Applications should preserve the vendor-specific raw metric or define their own decision threshold, rather than pretending the scores are interchangeable.
Best for: SaaS products, internal SEO systems, large batch jobs, AI agents and teams that want to pay primarily for data consumed rather than seats.
2. SE Ranking is the strongest API plus MCP alternative
SE Ranking has become much more interesting as an Ahrefs API competitor because its Data API is no longer just an accessory to the main SEO application. It can be purchased independently and covers backlinks, domain research, keywords, site audits and AI Search data.
The entry economics are also easier to test. Its API Wallet starts at $50 for 250,000 credits, while a standalone API option is available starting at $2,148 per year for 12 million credits. Existing subscribers receive API credits or can add more capacity.
Its official MCP support is a genuine advantage for agentic workflows. If the end goal is to let an assistant query keyword, backlink or AI-search data rather than manually constructing every workflow, MCP removes part of the integration layer. We cover the wider choices in our guide to SEO MCP servers.
SE Ranking also has one of the clearer failure-charging policies in this group. Its Data API consumes credits for successful 2xx responses, while failed 4xx and 5xx responses do not.
The catch is that “250,000 credits” does not mean 250,000 useful API requests. Some endpoints have a fixed request charge, others charge per returned record, and some combine the two. Forecast the actual calls your workflow makes before comparing the headline credit balance with another provider.
Best for: agencies and internal teams that want one supplier for traditional SEO data, AI-search analysis and agent-based workflows without requiring the full SE Ranking application.
3. Semrush is strongest where the company already depends on Semrush data
Semrush has extensive keyword, backlink, domain, traffic and historical datasets, plus an official MCP server. It becomes a logical alternative when the organisation already uses Semrush elsewhere and wants to bring the same data definitions into an internal system.
It is less convincing as a clean API-first purchase.
Semrush measures many requests in API units, and consumption may depend on the number of rows returned. Its own example for an organic keyword report charges 10 units per current keyword row and 50 units for a historical row. The same query can therefore become several times as expensive simply by requesting historical data.
There is also some current product-naming friction worth checking before purchase. Semrush’s public pricing page labels its $549 monthly Advanced plan as including API data integration, while the current developer access documentation still instructs Standard API buyers to have an SEO Toolkit Business subscription and then purchase API units. Anyone buying specifically for API access should confirm the exact entitlement rather than relying on an older pricing comparison.
There are useful billing protections. Empty responses do not consume API units, and limiting the number of returned lines can materially reduce costs. But an application that routinely requests thousands of rows across thousands of domains needs a proper unit forecast before committing.
Best for: organisations already standardised on Semrush metrics or requiring its broader competitive, traffic and marketing datasets alongside SEO data.
4. SerpApi is better than Ahrefs when the job is live SERP extraction
SerpApi belongs on this list for a different reason. It is not trying to reproduce Ahrefs Site Explorer or Keywords Explorer. It specialises in extracting search results.
That makes it a better fit for applications that need the current Google result rather than a large proprietary SEO database. Its APIs cover both conventional Google results and newer surfaces such as AI Overviews and AI Mode.
The billing model is unusually easy to reason about. Current plans count successful searches, while cached, errored, and failed searches do not count toward the monthly allocation. A result containing 100 entries and an empty successful result both count as one search.
Its current Production plan costs $150 per month for 15,000 searches, while the Searcher plan offers 100,000 searches for $725. Enterprise pricing applies to substantially larger volumes.
The limitation should stop anyone from ranking SerpApi as a generic number-one replacement for Ahrefs. It does not give you a comparable proprietary backlink graph or the same precomputed competitor keyword environment. If your product needs both live SERPs and backlink intelligence, SerpApi will typically sit alongside another data provider.
Best for: rank trackers, SERP monitoring, AI Overview monitoring and applications that need search-result features parsed immediately.
5. Majestic remains the specialist choice for backlink applications
Majestic is the option I would shortlist when “replace the Ahrefs API” really means “replace Ahrefs backlink data”. Its product is built around link intelligence rather than trying to cover every aspect of the SEO workflow.
The Fresh Index is intended for recent link discovery and is updated frequently, while the Historic Index provides a much longer record of the web’s link graph. Metrics such as Trust Flow and Topical Trust Flow can also be useful when an application needs link categorisation rather than a generic domain authority score.
The trade-off is breadth. Majestic does not replace a full keyword research API, a live SERP collector, an AI Overview parser, or a technical auditing API on its own. A product that chooses Majestic for links may still need DataForSEO or SerpApi for search-result data.
This can actually be the better architecture. Choosing the best specialised source for each important dataset is often preferable to accepting weaker data merely so every endpoint comes from one vendor.
Best for: link intelligence platforms, digital PR systems, prospect qualification, and applications where backlink history matters more than broad SEO-suite parity.
10K, 100K and 1M requests: a simple request-count comparison can be dangerously misleading
API comparison pages often multiply the advertised cost of a single request by 10,000, 100,000, and 1,000,000. That only works when every provider defines a request in the same way.
They do not.
Ahrefs charges API units according to request and response characteristics. Semrush can charge according to returned lines and data type. SE Ranking uses endpoint-specific request and record credits. DataForSEO prices each API family differently. SerpApi is much closer to a conventional successful-search counter.
The fairest example, therefore, is a tightly defined workload. For a basic Google organic SERP request using DataForSEO’s default first-page depth, the current base economics look like this:
| Workload | DataForSEO Standard | DataForSEO Live | SerpApi | Ahrefs, Semrush and SE Ranking |
|---|---|---|---|---|
| 10,000 SERPs | About $6 | About $20 | $150 public plan covers up to 15,000 searches | Cannot be converted honestly from request count alone |
| 100,000 SERPs | About $60 | About $200 | $725 Searcher plan | Cannot be converted honestly from request count alone |
| 1,000,000 SERPs | About $600 | About $2,000 | Enterprise pricing becomes the relevant comparison | Requires an endpoint and response-size model |
These figures are not a universal comparison of SEO API prices. They deliberately measure one narrow task. Request deeper result pages, extra SERP parameters, historical records or thousands of backlink rows and the economics change.
The useful lesson is to price your workflow, not your request count.
See more of our reporting in Google Top Stories, AI Overviews and AI Mode.
Failed-request charging is a real cost at scale
An API that costs slightly more per successful call can still be cheaper if errors, retries and empty responses are handled more generously. This is easy to overlook in a spreadsheet built from headline prices.
| Provider | Billing behaviour worth knowing |
|---|---|
| Ahrefs | Cached requests do not consume API units, but units already consumed are non-refundable. |
| DataForSEO | Billing depends on the API family and task model. Queued SERP workflows charge at task submission, while later result retrieval does not create another SERP charge. |
| SE Ranking | Successful 2xx Data API calls consume credits. Failed 4xx and 5xx calls do not. |
| Semrush | Empty responses do not consume API units. Insufficient balances can cause requests to fail or return partial results depending on the endpoint. |
| SerpApi | Cached, errored and failed searches are excluded from the monthly successful-search count. |
This affects architecture. A high-volume system should record the vendor’s reported cost beside every job, distinguish retriable failures from valid empty data and place sensible limits on automatic retries. Otherwise, a temporary upstream problem can become both a reliability and a billing issue.
Do not migrate DR, UR or keyword difficulty as if they were standard measurements
This is the biggest practical problem that generic Ahrefs API comparisons tend to miss.
DR is an Ahrefs metric. DataForSEO rank is a DataForSEO metric. Semrush Authority Score belongs to Semrush. SE Ranking has its own authority calculations. The numbers may be intended to describe related properties, but their indices and formulas differ.
The same applies to estimated search volume, traffic and keyword difficulty. Two providers can be functioning correctly and still return noticeably different numbers for the same domain or keyword.
Do not solve that discrepancy by inventing a conversion formula after looking at a handful of domains.
A safer migration test
- Build a benchmark set you understand. Include strong and weak domains, recently acquired and lost links, branded and non-branded keywords, several countries and queries where you already understand the live result.
- Run the incumbent and proposed API in parallel. Keep location, language, device and query settings as closely aligned as possible.
- Measure coverage rather than only score correlation. Compare missing keywords, referring domains found, new links detected, SERP agreement, response latency and actual request cost.
- Identify where downstream rules depend on vendor metrics. A rule such as “accept prospects above DR 40” cannot simply be changed to “accept prospects above provider score 40”. Recalibrate the rule using the new dataset.
- Keep both providers active through one normal reporting cycle. This gives dashboards, alerts and client reports time to expose assumptions that were not obvious in the API specification.
Practitioner feedback consistently supports this approach. DataForSEO is repeatedly chosen for lower-cost automated workflows, but developers also report that its scores and datasets do not align neatly with Ahrefs. The cheapest API migration can become an expensive engineering project if the application was accidentally designed around one vendor’s proprietary numbers.
Build a provider abstraction layer before you replace Ahrefs
If an API supplies a business-critical feature, avoid scattering provider-specific field names throughout the application.
Create an internal schema instead. A backlink object might store your standard fields for source URL, target URL, anchor, first seen, last seen, follow status and vendor timestamp, while preserving the original provider response separately. Provider-specific metrics such as DR, Trust Flow or DataForSEO rank should remain clearly labelled rather than being forced into a fake universal “authority” field.
The same adapter layer can handle:
- authentication and rate limits;
- queued versus synchronous requests;
- pagination;
- retry policies;
- provider-side caching;
- cost logging;
- timestamps and freshness;
- normalised error responses;
- switching the same job between providers.
This is a small amount of extra work during the initial integration and a major reduction in migration costs later. It also lets you route different jobs to different providers. A system could use DataForSEO Standard for bulk nightly collection, Live mode for interactive queries and Majestic only where deeper link history is needed.
Which Ahrefs API alternative should you choose?
| Your actual requirement | Best choice | Why |
|---|---|---|
| Large API-first SEO application | DataForSEO | Broad endpoint coverage, pay-as-you-go economics and separate bulk/live collection modes |
| SEO data plus AI Search and MCP | SE Ranking | Keyword, backlink, audit and AI datasets with an official MCP layer |
| Existing Semrush-based organisation | Semrush | Keeps data definitions consistent with the rest of the company’s Semrush workflow |
| Current Google SERPs and AI results | SerpApi | Focused live search extraction with simple successful-search billing |
| Backlink graph is the core product | Majestic | Specialist Fresh and Historic link indexes |
| You depend heavily on DR, UR and existing Ahrefs reports | Keep Ahrefs | A migration may save API spend but create more cost in recalibration and product changes |
Verdict: DataForSEO is the best overall alternative, but replacing Ahrefs is not always the right move
DataForSEO is the best alternative to the Ahrefs API for most new API-first applications in 2026. Its breadth, pay-as-you-go model, and ability to separate inexpensive bulk collection from faster, live requests give developers more control over operating costs than a conventional SEO subscription model does.
SE Ranking is the more balanced choice when SEO and AI search data need to feed both conventional applications and AI agents. Semrush is strongest where its datasets are already embedded across the business. SerpApi should be chosen for live search-result collection rather than as a pretend full-suite replacement, while Majestic remains a credible specialist option for backlink-heavy products.
There is also a case for doing nothing. Ahrefs now provides API v3 and MCP access starting with Lite. If its included units cover your workload and your reporting logic relies heavily on Ahrefs-specific metrics, keeping the existing API may cost less than migrating.
The deciding question is not which provider has the largest feature list. Map the actual endpoints your application calls, model the volume and number of rows returned, test the alternative against known data, then price the engineering work required to change your downstream assumptions. That is the comparison most likely to reveal the genuinely cheaper API.
Frequently asked questions
What is the best alternative to the Ahrefs API?
DataForSEO is the best overall Ahrefs API alternative for API-first applications because it combines keyword, backlink, SERP, domain and other SEO datasets with pay-as-you-go pricing. SE Ranking is a stronger option where integrated AI Search data and MCP access are priorities.
Is DataForSEO cheaper than the Ahrefs API?
It can be substantially cheaper for high-volume tasks such as basic SERP collection, but there is no honest universal conversion between DataForSEO pricing and Ahrefs API units. Ahrefs consumption depends on fields and rows, while different DataForSEO APIs have different request and record charges. Model the exact endpoints your application uses.
Can DataForSEO replace Ahrefs DR and UR?
No. DataForSEO can replace many of the underlying backlink data workflows, but its proprietary ranking metrics are not equivalent to Ahrefs’ Domain Rating or URL Rating. Recalibrate any thresholds or scoring systems that currently depend on DR or UR.
What is the best alternative to the Ahrefs API for AI agents?
DataForSEO and SE Ranking are the strongest options in this comparison for agent workflows because both now offer official MCP access in addition to conventional APIs. SE Ranking is particularly convenient when keyword, backlink, and AI search data need to be available through the same agent connection.
Is SerpApi a complete replacement for the Ahrefs API?
No. SerpApi is better treated as a specialist live SERP provider. It can retrieve current search results, AI Overviews and other search features, but it does not reproduce Ahrefs’ backlink index, competitor keyword database or proprietary authority metrics.
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