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Outscraper alternatives

Keep Outscraper if your listing exports and enrichment already give you the fields you need. For reviews from one verified Google Maps listing, try Apify for a hosted run, DataForSEO for an API task, or MCP Scraper when the brief also needs search results and source pages.

Which Outscraper alternative fits your Maps workflow?

Published by MCP Scraper, which appears in the shortlist. The table compares documented workflows. We checked vendor documentation on . Report a correction.

Outscraper and three alternatives by Google Maps job
What you needWhat to tryWhat to check first
Keep a working listing export or enrichment jobKeep Outscraper. Its Maps scraper exports listings and offers separate contact enrichment. Its Reviews Scraper collects review text.Identify the fields your process uses and which ones come from enrichment before replacing a step.
Run a hosted scraper for one listingApify. Give its Google Maps Reviews Scraper Actor a supported listing URL and set a review limit.Check the returned business, review count and export fields. Read the Actor’s billing terms before repeating the job.
Collect reviews through an API taskDataForSEO. Submit a Google Reviews task with a supported identifier, such as a Place ID or CID, and a search location. Then retrieve it by task ID.Confirm the business, task status and returned reviews before passing the records downstream.
Use reviews alongside search results and source pagesMCP Scraper. Verify a listing and request a small sample of available reviews through a compatible AI client or the Google Maps scraper API.Compare requested and returned counts. Keep the listing and capture date with the review text, rating and date when available.

Keep the export and test the review step separately

A local agency might already export a list of roofers for a client. If the brief also needs customer feedback, keep the export and try collecting reviews for one verified listing. If you need bulk contacts or outreach enrichment, evaluate the exact fields and export you rely on before changing tools.

See what came back from one Denver listing

Recorded Google Maps review sample

On , MCP Scraper requested up to 5 reviews for Formula Roofing and Remodeling and returned 5. One returned Google Maps review displayed 5 stars and “5 months ago” at the time of capture.

Formula did an amazing job from start to finish.

Use this sample to decide what to read next. Five cards from one listing cannot establish a market-wide pattern or complete coverage.

Open the Google Maps listing · Inspect the recorded review sample · Inspect one recorded review in JSON

Compare two tools on the same listing

  1. Use the Formula Roofing and Remodeling listing or a business you can verify by name and address. Save the listing URL and business identifier when available.
  2. Before either run, decide which fields you need, such as review text, rating and displayed date. Run both tests in the same time window and record their timestamps.
  3. Match review source, interface language, sort order and limit where possible. For a five-review test sorted by newest, use the settings below. DataForSEO recommends requesting depth in multiples of ten and bills by results page. Record any difference.
  4. Check the returned business, review count, duplicates and missing fields. Open the original listing before relying on an excerpt. If settings differ, report the returned counts separately. Compare field completeness on the same records only when you can match them.
  5. Compare cost only for equivalent work. Divide settled charges by the number of records that meet your requirements. If none passed, record a failed test.

Five-review test settings for Outscraper and Apify

These are vendor-documented inputs for a test you can run. The recorded example above is from MCP Scraper.

  • Outscraper: In its Google Maps Reviews API, pass the listing’s CID as query. Set reviewsLimit to 5, sort to newest, source to google, and language to en.
  • Apify: In the Compass Google Maps Reviews Scraper, pass the same listing URL in startUrls. Set maxReviews to 5, reviewsSort to newest, reviewsOrigin to google, and language to en.

Check the business name and address in both outputs. When both outputs include a Google Maps review link, open each link to confirm it points to the same review. Use an ID only after checking it identifies one review. The Outscraper API example repeats reviews_id across distinct reviews. If you cannot verify a match, record it as unresolved and leave it out of the field comparison. The same sort order and limit can still return different reviews.

Record the two runs before comparing them

Use this worksheet for a test you run. The five recorded reviews above came from MCP Scraper. Copy this CSV header and add one row per run. Keep the original result file with each row. Count a review as usable only if it belongs to the intended listing and has the fields you required before the test.

provider,listing_url,run_at_utc,review_source,language,sort,requested,returned,duplicates,usable,settled_charge,currency,result_file

Leave the charge blank until it settles. If the results contain different reviews, report the run counts separately and compare field completeness only for reviews you can match.

Use the results in a Google Maps competitor analysis. If you need the reviewed evidence later, save it in a Memory Vault with its source and capture limits.

Inspect a real Maps review sample

See the requested and returned counts, the source listing, and a returned review before you choose what to test.