Best Yelp Scraper APIs & Tools

Yelp is one of the densest sources of local business data on the web: names, addresses, phone numbers, categories, price tiers, ratings, and millions of reviews. The catch is that Yelp hides most of it in JSON inside a React root script tag and serves reviews from a GraphQL endpoint, so the practical question is which tool returns clean fields without you reverse-engineering private endpoints. My top value pick is ChocoData for the API route, and the standout for no-code work is the Apify Yelp Scraper; this page ranks both alongside Bright Data, Oxylabs, Scrapfly, Zyte, and ScrapingBee on starting price, free tier, which Yelp data they return, and best fit. Every price and feature comes from the vendor’s own pricing or product page in mid-2026, attributed inline, because review-site numbers go stale fast.

One disclosure up front: bestscraperapi.com earns affiliate commissions from some of the vendors listed here. That does not change which tools make the list, how I rank them, or what I write. Pricing comes straight from each vendor’s own page, and the ranking follows documented price and features, not payout.

A note on the performance numbers further down. The speed and success-rate figures are approximate, compiled from each vendor’s published figures plus aggregated public sources. They are not bestscraperapi.com’s own first-hand tests. Vendors measure on their own targets under their own conditions, so the numbers are directional rather than apples to apples. My independent, like-for-like Yelp benchmarks are pending; see how we test for the methodology.

Pricing per each vendor’s pricing or product page, mid-2026. Per-result and per-credit rates assume the entry tier; most vendors drop the unit price on higher plans. Confirm the current number at the source before you budget.

1. ChocoData

ChocoData is my top pick for Yelp data through a real API, because it returns structured data at the lowest documented entry price in this list, and the same integration covers every other source you scrape. You point it at a Yelp business page, search URL, or review stream through either the universal endpoint or a dedicated scraper, so you are not bolting on a separate Yelp-only tool to do it.

Pricing

Per ChocoData’s pricing page in mid-2026, the Free plan gives 1,000 requests a month (5,000 credits) with no credit card, and paid plans start at $19/mo (Vibe) for 27,000 requests, then $49/mo (Pro) for 82,000. ChocoData bills 5 credits per request, adds 10 for JavaScript rendering, and charges only 2xx responses, so a Yelp fetch that hits a CAPTCHA redirect does not count against you. Pay-as-you-go top-ups run $0.90 per 1,000 successful requests on any plan. For a workload that touches Yelp plus e-commerce, search, or social data, one $19/mo entry price for the whole surface beats stacking single-purpose tools.

Standout features

ChocoData exposes a single universal endpoint, /api/v1/{site}/{resource}, across 235 supported sites, plus 250+ dedicated endpoints that return validated structured JSON (per its site, mid-2026). Country-matched residential IPs handle the IP reputation checks that block raw Yelp requests, and automatic anti-bot defense covers the TLS fingerprinting Yelp uses to flag automated traffic. Because the response comes back as clean structured data on supported targets, you skip the work of pulling Yelp’s payload out of its React root script tag yourself.

Best for

Developers and founders who want Yelp data through a clean API at the lowest entry price ($19/mo), and who also scrape other sources. If Yelp is your only target and you want zero scraper code with parsed business and review fields, a dedicated actor like Apify fits better; for one integration across the whole web, ChocoData is the value pick. Try ChocoData.

2. Apify Yelp Scraper

The Apify Yelp Scraper is the no-code leader for Yelp business data, and it is the tool most people mean when they search for a ready-made Yelp scraper. It returns full business records without you writing a line of scraper logic or touching Yelp’s GraphQL endpoints, and it is the cheapest per-result entry in this list.

Pricing

Per the Apify actor page in mid-2026, the Yelp Scraper costs from $1.00 per 1,000 businesses on a pay-per-result model, so you are charged for results rather than platform compute, and the per-result price drops on higher subscription tiers. The Apify Free plan includes $5 in platform credits per month with no card (per Apify’s pricing page, mid-2026), enough to test a few thousand businesses before you commit; the Starter plan is $29/mo for $29 of usage. Apify notes the scraper returns up to roughly 240 results on average per run, varying by search complexity and location, so size larger jobs across multiple runs.

Standout features

Per the actor page, the scraper extracts business name, address, phone number, rating, and review text from Yelp search and business pages without the official Yelp API, and exports to JSON, CSV, Excel, and other formats through the Apify platform. Because the actor handles Yelp’s anti-bot layer and parses the hidden JSON for you, you point it at a keyword and location and get structured rows back. It plugs into the wider Apify ecosystem, so you can chain it with Make, Zapier, or Google Sheets integrations for scheduled pulls.

Best for

Marketers, founders, and students who want Yelp business and review data with no scraper code and a small free credit to start. It is the lowest per-result price here at $1.00/1k businesses. For a deeper look at the platform, see my web scraping guide.

3. Bright Data

Bright Data is the enterprise-scale option, and it is the only vendor here with a dedicated Yelp reviews dataset listed in its scraper library. It is priced for volume buyers who want parsed review fields delivered at scale with an SLA behind them.

Pricing

Per Bright Data’s Web Scraper page in mid-2026, the free tier is 5,000 records a month with no credit card, pay-as-you-go is $1.50 per 1,000 records on a pay-only-for-success basis, and the Scale plan is $499/mo for 384,000 records plus $1.30 per 1,000 additional records. The page also listed a promotional 25% off for six months with a checkout code at the time of writing. The pay-as-you-go rate is among the higher per-record prices in this list, so the entry economics favor those who can commit to Scale.

Standout features

Per Bright Data’s page, the Yelp businesses reviews scraper captures fields including business ID, review author, rating, date, content, review images, reactions, and replies, and a search variant finds Yelp businesses by country, category, and location. Output is structured and billing is success-only. On performance, Bright Data cites response times under 1 second for standard requests and a high success rate in async mode (its own figures, approximate, compiled from vendor + public sources, not first-hand).

Where it falls short

The per-record price and the $499/mo Scale plan are steep next to ChocoData or the Apify actor, and the dedicated dataset shape means you adopt Bright Data’s record schema rather than pointing at arbitrary Yelp URLs. For small Yelp jobs the free 5,000 records cover testing, but ongoing low-volume use is cheaper elsewhere.

4. Oxylabs

Oxylabs treats Yelp as a target for its general Web Scraper API rather than shipping a named Yelp endpoint, which suits teams that want a low per-result price and pay only when a fetch succeeds. It is an enterprise-leaning tool with deep parsing and reliable proxy infrastructure.

Pricing

Per Oxylabs’ Web Scraper API page in mid-2026, pricing starts from $0.25 per 1,000 results, the free trial includes up to 2,000 results, and you pay only for successful results with no credit card to start. That per-result floor is the lowest documented unit price in this list, though the effective cost rises with JavaScript rendering and the heavier anti-bot handling Yelp demands. Confirm the rendered rate against your Yelp workload before budgeting.

Standout features

Per its page, the Web Scraper API offers pre-configured endpoints, parsed JSON output, raw HTML access, JavaScript rendering, and location and language targeting, with 24/7 support. The location targeting matters for Yelp because results are region-specific, and the success-only billing means blocked Yelp requests do not cost you. You supply the Yelp URL and parsing rules; Oxylabs handles the proxy rotation and rendering that get past Yelp’s IP reputation and TLS checks.

Best for

Teams that want the lowest per-result price with pay-for-success billing and are comfortable defining their own extraction against Yelp pages. The trade-off versus a dedicated Yelp scraper: Oxylabs returns the page or generic parsed JSON, so you handle Yelp’s hidden-JSON and GraphQL structure yourself rather than getting named business and review fields.

5. Scrapfly

Scrapfly is a general-purpose scraping API built around anti-bot bypass, which is the exact problem Yelp poses with its TLS fingerprinting and high block rate. It is a strong middle option for developers who want to handle Yelp’s structure themselves but not its blocking.

Pricing

Per Scrapfly’s pricing page in mid-2026, the Free plan gives 1,000 API credits on signup with no credit card, and paid plans start at $30/mo (Discovery) for 200,000 credits, then $100/mo (Pro) for 1,000,000, $250/mo (Startup) for 2,500,000, and $500/mo (Enterprise) for 5,500,000. Credit cost per request depends on enabled features like proxy type and JavaScript rendering, so a Yelp fetch that needs a residential IP and a cloud browser costs more credits than a plain request. Use the on-page estimator to size a Yelp workload.

Standout features

Per Scrapfly’s site, the Web Scraping API bundles managed proxies and anti-bot bypass, plus a Cloud Browser for JavaScript-heavy sites, which together address Yelp’s TLS fingerprinting and CAPTCHA walls. You point it at any Yelp URL and choose the proxy and rendering settings that get through. It is feature-priced rather than fixed per result, so you tune the cost to how hard a given Yelp page fights back.

Best for

Developers who want fine control over how requests are made and need a reliable bypass for Yelp’s anti-bot stack, while parsing the response themselves. If you would rather receive parsed Yelp fields than configure proxy and render settings, the Apify actor or Bright Data dataset is less hands-on.

6. Zyte

Zyte’s API prices by how hard a site is to scrape, which fits Yelp’s high block rate honestly: tougher targets cost more, and you pay only for successful responses. It suits developers who want usage-based billing without a fixed monthly floor to start.

Pricing

Per Zyte’s pricing page in mid-2026, new users get $5 in free credit with no commitment and 30 days to use it. Pay-as-you-go HTTP responses run roughly $0.13 to $1.27 per 1,000 depending on site complexity, and browser-rendered requests run higher (roughly $1.01 and up per 1,000). Minimum-commitment tiers cut the unit price: a $100/mo commitment drops HTTP to about $0.10 per 1,000 at the easy end, and $500/mo drops it to about $0.06. Yelp’s anti-bot defenses push it toward the higher complexity bands, so price against the rendered rate.

Standout features

Per Zyte’s page, the API includes JavaScript rendering, IP rotation, and CAPTCHA solving, the core capabilities needed to get past Yelp’s TLS fingerprinting and IP checks. Billing is success-only and scales by complexity, so an easy Yelp listing page costs less than a heavily defended one. There is no named Yelp endpoint; you point the API at Yelp URLs and parse the returned content.

Where it falls short

Zyte does not publish a dedicated Yelp parser, so like Oxylabs and Scrapfly it returns the page rather than named business and review fields, leaving the hidden-JSON and GraphQL extraction to you. The complexity-based pricing is fair but harder to forecast than a flat per-result rate, so model a sample run before committing.

7. ScrapingBee

ScrapingBee is a simple, developer-friendly scraping API with JavaScript rendering and proxy rotation built in, which makes it an easy on-ramp for Yelp pages that need a browser to load. It trades the low per-result pricing of others for a clean, predictable API.

Pricing

Per ScrapingBee’s pricing page in mid-2026, new users get 1,000 free API credits with no credit card, and paid plans start at $49/mo (Freelance) for 250,000 credits and 10 concurrent requests, then $99/mo (Startup) for 1,000,000 credits, and $249/mo (Business) for 3,000,000. Credit cost rises when you enable JavaScript rendering and premium proxies, both of which Yelp typically needs, so the effective Yelp cost is higher than the headline credit count suggests. Pricing is quoted exclusive of VAT.

Standout features

Per its pricing page, ScrapingBee includes JavaScript rendering, rotating and premium proxies, geotargeting, screenshots, and extraction rules across its plans, with a Google Search API on top. The extraction rules let you pull specific fields from a Yelp page without a separate parsing step, and geotargeting helps with Yelp’s region-specific results. The premium proxies are what get past Yelp’s IP reputation checks on harder pages.

Where it falls short

The $49/mo entry price is the highest fixed monthly floor in this list, and rendering plus premium proxies consume credits fast on a defended site like Yelp, so the cost per successful Yelp page climbs. There is no dedicated Yelp endpoint, so you rely on extraction rules against Yelp’s shifting, dynamically named markup.

How to choose the right one

Match the tool to your job rather than the headline price.

If you are building the extraction yourself instead of buying it, the same fundamentals apply: rotate residential IPs to survive Yelp’s reputation checks, render JavaScript or read the JSON inside the React root script tag, and pull reviews from Yelp’s GraphQL endpoint with its base64-encoded pagination cursors. My guides on web scraping and scraping without getting blocked cover the DIY path you can pair with or substitute for an API.

How we evaluated these

I shortlisted these seven tools on the criteria that decide a Yelp scraping purchase: documented starting price, free tier, the Yelp data each one returns (business fields, reviews, contacts), how it handles Yelp’s anti-bot stack and hidden JSON, and best fit by scenario. Every price and feature here is pulled from each vendor’s own pricing or product page in mid-2026 and attributed inline, because review-site numbers go stale fast. The speed and success-rate language is approximate, compiled from vendor-published figures plus aggregated public sources, and is not first-hand; my independent, like-for-like benchmarks are pending at how we test. Pricing is current as of mid-2026 and changes frequently, so confirm the live number on the vendor’s own page, and check whether a plan bills per business, per review, per request, or per credit so you are comparing like with like.