The 10 Best APIs for Google Reviews in 2026

Google’s official Places endpoint returns up to five reviews per place, and it doesn’t paginate beyond that sample. If you need a complete review history for a business you don’t own, you’ll generally need a third-party provider rather than Google’s public Places API.

That distinction changes how you should evaluate an API for Google Reviews. Retrieving reviews for locations your organization owns is a different engineering and compliance problem from collecting public reviews for arbitrary places.

The first use case fits Google Business Profile APIs. The second runs into the Places API’s deliberately narrow review response, where results are surfaced in relevance order rather than as a complete archive, as documented in the official Places reference.

A useful comparison therefore has to go beyond endpoint names. Coverage, pagination, schema quality, latency, pricing, quota behavior, and permission to retain or redistribute content all affect the production choice.

This list covers what each option is good at and where it breaks down. It then sets out a practical pipeline: request validation, page handling, caching, retries, normalized fields, and optional sentiment enrichment.

1. API Direct

API Direct fits products that need Google Places reviews alongside several public data sources. Its Place Reviews endpoint takes a Google Maps place_id and returns up to 10 reviews per page, with up to 10 pages on one call. The same API also covers social networks, web search, forums, and other Google Places information, so one integration can support a wider monitoring workflow.

Four sort orders (most_relevant, newest, highest_ranking, lowest_ranking) and a language filter each return a different slice of the same place. Combine them and a busy listing can surface several hundred reviews. translate_reviews folds a multilingual set back into one language, and get_sentiment adds emotion analysis for $0.001 per request.

The main engineering benefit is schema consolidation. Google Places, Reddit, YouTube, TikTok, Facebook and the rest all come back in the same response shape, with the same fields: title, URL, date, author, snippet, and source.

Your application keeps one parser and one authentication flow instead of a different pair for every source. That structure suits AI agents, social listening dashboards, research pipelines, and prototypes that combine review signals with broader public content.

Where API Direct fits best

API Direct is built for real-time, pay-as-you-go retrieval, with documented response-time targets of approximately 1–2 seconds per call. Model Context Protocol integrations for Claude, Cursor, ChatGPT, and OpenClaw put the same review lookup inside an AI workflow.

The controls around it are what decide a production rollout. One X-API-Key header authenticates every call, usage analytics break consumption down by endpoint, and daily or monthly spending caps keep an exploratory job from running away with the budget.

Only successful 2xx responses are billed. Every new account starts with $5 in free credit, so you can try the endpoint before you add a card, according to its pricing information.

Practical rule: Choose API Direct when the application needs Google Places reviews plus multiple sources and a shared response model matters more than specialized, source-specific features.

Per-request billing is built for interactive applications and targeted monitoring, where you pay for the calls you actually make. The default concurrency limit is 5 simultaneous requests per endpoint per user, and it can be raised on request.

A large historical ingestion job needs cost modeling first, then a queue, controlled workers, pagination checks, retries, and explicit backoff. Normalize the fields before storage, and check retention and redistribution requirements for every source.

2. Google Business Profile API

The Google Business Profile API is the correct first-party choice for owned and verified locations. It supports business workflows such as listing reviews, retrieving review details, and posting owner replies for profiles an organization manages. That makes it materially different from a public Google reviews API aimed at arbitrary businesses.

The resource model is built around accounts, locations, and reviews. In practical terms, that gives engineering teams a stable foundation for customer-support tooling, review-response queues, moderation workflows, and internal reporting. The official review documentation describes a reviews.list operation for listing reviews associated with a managed location, while related operations support owner actions such as replying or reporting.

Ownership is the boundary

This API won’t solve a market-research requirement for every competitor in a category. Access is tied to Business Profiles the caller owns or manages, and Google gates access through an approval process. Higher-volume usage also depends on quota arrangements and Google’s account requirements, so teams should validate access before designing a production dependency around it.

For an owned-location application, that restriction is a benefit rather than a weakness. You can keep the workflow aligned with the profile owner’s operational authority instead of relying on third-party collection. Google’s Business Profile developer resources are the starting point for authentication, account access, locations, and review operations.

When place discovery is part of the same product, API Direct’s Places Details endpoint can complement the owned-location workflow by supplying a separate place lookup layer. Keep the two responsibilities distinct in your data model, and use review automation for home service contractors as an example of the operational problem this kind of integration can support.

3. Google Maps Places API New, Place Details and Reviews

Google’s Places API fits applications that need trusted Maps place data and a small review sample, not a complete review archive. Place Details can return a place’s rating, total review count, and review objects when the request includes the required fields.

A review object may include rating, text, authorAttribution, publishTime, and googleMapsUri, as listed in the official Places reference. Asking for those reviews also changes what the call costs, which Google sets out in its Places usage and billing documentation.

Access is the boundary. The endpoint returns up to five reviews per place, ordered by relevance rather than a caller-selected history sequence.

It provides no pagination for additional reviews, so repeated requests cannot retrieve every public review. Google’s Google Maps JavaScript place reviews documentation also illustrates the need for explicit field masks and request-scoped review access.

Good for context, not archiving

This API works well for a review preview, location-page enrichment, or a search experience that combines current Maps metadata with application data. Field masks can reduce payload size and help control request costs by limiting each response to the fields the product uses.

Full exports, long-term archives, and competitor monitoring require a different collection strategy. Google’s Google Places policies restrict pre-fetching, caching, and storing Places reviews and photos beyond permitted exceptions. place_id is exempt from those caching restrictions. That rule affects schema design, retention, refresh jobs, and whether the product can build a durable review history.

Teams should also plan for normalization and latency. Hold the short Places response separate from any full-history provider, and record source, retrieval time, pagination state, and review identifiers in the downstream schema. For broader collection, API Direct’s Google Places Reviews documentation describes a separate provider path to evaluate when five reviews do not meet the coverage requirement.

4. SerpApi

SerpApi is a mature third-party option for teams that already use structured search and Maps data in SEO, local research, or competitive monitoring systems. Its Google Maps-oriented endpoints target place results and review-related data, including contributor or reviewer histories, so it’s positioned beyond the narrow official Places sample.

What you are really buying is infrastructure. SerpApi handles much of the proxying and anti-bot complexity a team would otherwise run itself.

It ships SDKs and documentation for pulling search responses into an existing application. Geo-routed requests can help align results with the location context being researched, which matters when similarly named businesses or places appear in multiple markets.

The trade-off is collection posture

SerpApi is not Google’s first-party Business Profile or Places API. Maps review access here relies on third-party collection, so legal, contractual, retention, and redistribution questions belong in the design review. That matters especially when an agency plans to deliver raw review data to clients rather than use it only for internal analysis.

SerpApi also suits teams that need more than review text. Location discovery, contributor research, and search-result context can all sit within the same vendor relationship. For a narrow application that only needs a few owned-location reviews, that breadth may add unnecessary cost and operational complexity.

SerpApi’s Google Maps API documentation should be checked against the exact engine, output fields, geography, and pagination behavior required by the pipeline. Test ambiguous place names and high-review locations before estimating throughput.

5. Outscraper

Outscraper focuses on Google Maps extraction, with a reviews API and scraper intended for bulk pulls, filtering, pagination, and enrichment. It’s a practical choice for agencies and research teams that want a turnkey workflow instead of building browser automation, proxy management, and retry handling internally.

The service’s review workflow is oriented toward retrieving larger datasets than the official Places API exposes. Sorting and filtering options can help a researcher isolate recent, highly rated, low-rated, or otherwise relevant review subsets. Per-record pricing and volume discount options also make the cost model easier to discuss with a client than an opaque infrastructure bill.

Use it for extraction, then control the data

The main concern is the same one that applies to other third-party collectors. Scraping Google Maps data can create terms-of-service, privacy, and redistribution obligations, and the buyer remains responsible for confirming that the intended use is acceptable. Don’t assume that a turnkey endpoint removes the need for a compliance review.

Outscraper works well when the workflow is batch-oriented. A scheduled agency export or a market-research dataset is a better fit than a latency-sensitive customer-facing feature that must respond instantly to every user request. Very large review histories can also become expensive because costs rise with the number of records collected.

Before committing, run representative places through the exact filters and pagination settings you’ll use in production. Compare the returned fields with your target schema, especially author data, timestamps, owner replies, media, and place identifiers.

6. DataForSEO Google Reviews API

DataForSEO’s Business Data API is built for SEO-grade monitoring and scheduled collection. Its Google Reviews and Extended Reviews endpoints are designed around place targeting, pagination, and batch-oriented processing rather than a single interactive lookup.

That job-and-result model can be useful for an analytics pipeline. A system can submit collection work, poll for results, validate the returned records, and write them into a normalized warehouse without holding an application request open for the entire operation. Sandbox tooling, status information, and endpoint-level pricing documentation are also helpful for teams that need repeatable testing and procurement visibility.

Strong for scheduled analytics

DataForSEO is a sensible candidate for rank-tracking companies, agencies, and market-monitoring systems that already operate asynchronous data jobs. For a small product feature where a simple HTTP request and an immediate response are the only requirements, it is more machinery than the job needs.

The API isn’t an official Google API, so teams should assess the provider’s collection method and their own rights to use, store, and redistribute the results. Broad parameters can also create unnecessary collection costs. Limit place targets, review ranges, and refresh schedules before launching recurring jobs.

Read the DataForSEO Business Data API documentation with your actual workflow in mind. Pay attention to task creation, result retrieval, failure states, and whether the returned identifiers let you deduplicate reviews reliably across scheduled runs.

7. Oxylabs Web Scraper API

Oxylabs is aimed at organizations that need managed scraping infrastructure rather than a simple reviews-only endpoint. Its Web Scraper API supports Google Local and Maps-oriented collection, with proxy pools, IP rotation, and enterprise support for custom high-volume pipelines.

That pays off when a team collects several Google surfaces in one system: local search results, place details, and reviews. Engineers can control more of the request and processing architecture than they typically can with a narrow turnkey scraper. Enterprise service arrangements may also matter when internal teams need defined support and reliability expectations.

Infrastructure comes with responsibility

Oxylabs is heavier than a point solution for a small review export. Teams must design request scheduling, parsing, persistence, observability, and downstream compliance controls, and premium infrastructure can be difficult to justify when collection volume is modest.

Scraping also requires a deliberate terms and compliance assessment. The provider’s Google scraper offering should be evaluated alongside the intended geography, collection frequency, data retention policy, and redistribution model. Don’t treat proxy rotation as permission to collect anything without restriction.

For background on the broader engineering and operational issues, see this guide to web scraping and social media. The same concerns apply when review collection becomes part of a larger public-data pipeline.

8. Apify Google Maps Reviews Scraper Compass

Apify’s Compass actor offers a marketplace approach to Google Maps review extraction. Developers invoke the actor through the Apify API, then consume datasets or export results as JSON and CSV. Scheduling, webhooks, and integrations reduce the amount of orchestration code required for a first implementation.

The actor is attractive when a team wants rich review records without managing scraper infrastructure. Its documented capabilities include review pagination, owner replies, reviewer metadata, dates, ratings, text, and reviewer badges. Those fields can support sentiment analysis, topic extraction, competitive research, and client reporting, provided the data is handled within an approved use case.

Validate the actor, not just the platform

Apify’s marketplace model means actor behavior and economics deserve direct testing. Pagination depth, runtime, output completeness, and pay-per-event costs can vary by actor and target place. A workflow that works on a lightly reviewed listing may behave differently on a location with a large history.

Use a test dataset that includes owner replies, media, unusual author names, and multiple pages of reviews. Verify that the actor returns stable identifiers and that a retry doesn’t duplicate records. Also review the Compass Google Maps Reviews Scraper terms and output documentation before storing or sharing the results.

Apify is especially useful for teams already using datasets and webhooks. It’s less compelling if the application needs a small, synchronous lookup and has no reason to adopt a broader actor runtime.

9. HasData Google Maps Reviews API

HasData uses a straightforward batching model. The Google Maps Reviews API returns paginated review batches, and a next-page token requests the following batch. Developers can implement the flow with a small REST client instead of adopting a broader scraping platform.

That focus suits applications needing full-history retrieval or a review-specific workflow. Documentation and examples make response testing easier, while the published starting allowance of 200 free review batches lets a team inspect fields and pagination before committing to paid collection. Review the HasData API documentation before implementation.

Pagination needs production controls

One request returns one batch, which makes request-based cost tracking easier. Large histories still require repeated calls.

Persist each next-page token, stop when the response provides none, and make retries idempotent so a failed request does not create duplicate reviews. A queue is safer than recursively chaining collection inside a user-facing request.

Normalize HasData’s fields into the same schema used for other sources, especially place identifiers, review identifiers, ratings, timestamps, text, and owner responses. Record request status and latency as well, because those fields help diagnose partial imports and control polling costs.

HasData is a third-party collection service, not Google’s official API. Before redistribution, check the applicable terms and align your privacy notice and retention policy with the information processed. Test field stability, error responses, pagination behavior, and place-targeting inputs before production.

10. Scrape.do Google Maps Reviews API

Scrape.do offers Google Maps plugin endpoints for search, details, and reviews. Review retrieval goes past the official Places limit, with pagination, sorting, topic or keyword filters, and retry logic exposed through lean HTTP requests.

That filtering is the distinguishing feature. A research application can request reviews sorted by newest, highest, or lowest rating, then narrow analysis around a topic or keyword instead of downloading every available record. This can reduce downstream processing when the product only needs evidence about a specific service issue, location attribute, or customer complaint theme.

Best for targeted retrieval

The API’s simple GET-oriented integration is convenient for prototypes and internal tools. The caller carries more of the work, though. The application must identify the correct place, manage page tokens, handle retries, deduplicate records, and decide how filtered results should be represented in its own schema.

As with other third-party collectors, review the terms and intended use before production. Scraping risk doesn’t disappear because the response is JSON. The Scrape.do Google Maps documentation is the place to verify supported filters, pagination behavior, retry semantics, and response fields.

This option is a good match for focused research queries. It’s less suitable when the goal is a first-party owned-location reply workflow, where Google Business Profile remains the cleaner authorization model.

Top 10 Google Reviews APIs, Quick Comparison

Choose by Coverage, Control, and Compliance

The best API for Google Reviews depends on what “access” means in your product.

Choose the Google Business Profile API when the application manages locations owned or verified by the customer. It gives the cleanest first-party path for listing reviews, retrieving details, and posting replies. It won’t provide competitor histories or arbitrary public listings, but that restriction matches the ownership model Google uses for managed review data.

Choose the Google Maps Places API when official place metadata and a small sample of reviews are enough. Its review response is limited to up to five reviews, and those reviews are returned in relevance order without pagination (Google Places reference). That’s appropriate for a place-details page or lightweight enrichment, not a complete review warehouse.

Choose a third-party provider when full pagination, broad public collection, or cross-source analysis is essential. API Direct is particularly useful when the same pipeline needs Google Places reviews plus social and web sources. SerpApi, Outscraper, DataForSEO, Oxylabs, Apify, HasData, and Scrape.do are more specialized around Maps extraction or scraping infrastructure.

Build the pipeline around failure

Start with a normalized review schema. Keep the source, place identifier, review identifier when available, rating, text, author attribution, publication time, review URL, owner response, media references, retrieval time, and raw-provider metadata separate. This lets downstream sentiment or topic processing run against one internal contract instead of a different object shape for every vendor.

For API Direct, authenticate with the X-API-Key header. For paginated providers, persist page tokens or job identifiers before processing each page.

Add bounded retries with exponential backoff for transient failures, respect concurrency limits, and distinguish authentication errors from quota or server errors. Google’s quota documentation explains that successful requests and server-error requests can count toward quota, while authentication failures don’t (Google Maps usage and billing guidance).

Control storage, spend, and refreshes

Caching needs a policy, not just a database table. Google’s Places policies restrict pre-fetching, caching, and storage of reviews beyond allowed exceptions, while place_id has a specific exemption (Google Places policies). Third-party terms may differ, so document retention, deletion, refresh, and redistribution behavior for every source.

API Direct’s pay-per-request model bills only successful 2xx responses and provides usage analytics plus spending caps (API Direct operations). Those controls are useful, but every provider still needs an estimate based on target places, refresh frequency, page depth, retries, and enrichment calls. Test representative places before launch, including listings with sparse, active, and extensive review histories.

Finally, confirm the provider’s collection method and intended redistribution model with legal and product stakeholders. A workflow for automated Google review scraping for market research may have different requirements from a customer-facing review display or an internal response tool. Make the access boundary, storage policy, and failure behavior explicit before production.

API Direct combines Google Places reviews with real-time social, web, and forum retrieval behind one API key and a consistent response model. If you’re building review monitoring, AI-agent workflows, or a multi-source research pipeline, visit API Direct to test the Place Reviews endpoint, review usage controls, and start with the available free access.