Chocodata
public Via Universal scraper Search Engines

Google Scholar Scraper API

Access any Google Scholar page using our Google Scholar Scraper API. Point one API request at a Google Scholar URL and get structured JSON back while we get past CAPTCHAs, IP rate limiting, IP blocking, and headless-browser detection through residential proxies. Get back fields like paper title, authors, publication venue, year as structured JSON.

check_circle 1,000 free requests/month. No credit card. Residential proxies.

Request
curl "https://api.chocodata.com/api/v1/universal/get?api_key=YOUR_API_KEY&url=https://www.googlescholar.com/"
JSON Response
200 OK
{
  "success": true,
  "url": "https://www.googlescholar.com/",
  "status": 200,
  "content": "parsed Google Scholar page content..."
  // + more fields
}
lan 235 targets
vpn_lock Residential proxy network
data_object Structured JSON
redeem 1,000 free requests/mo

Google Scholar is served through the Universal Web Scraper API

You scrape Google Scholar with Chocodata's Universal Web Scraper API: point it at any Google Scholar URL and get the page back as structured JSON. Residential proxies, rotation, and retries are handled for you, with no Google Scholar-specific setup. The same API key and credits work here as on every dedicated endpoint.

About Google Scholar

Google Scholar is a free academic search engine that indexes scholarly papers, theses, books, and citations across disciplines. The result titles, authors, publication venue, year, citation counts, and links to PDF copies are the public fields worth scraping.

Scraping note: Google Scholar rate-limits automated traffic very aggressively and will quickly serve CAPTCHAs, so slow, proxy-rotated requests are essential.

Example Google Scholar page

https://scholar.google.com/scholar?q=transformer+neural+networks

Pass a URL like this as url= to the Universal Web Scraper API and get it back as JSON.

Fields you can extract from Google Scholar

check_small paper title check_small authors check_small publication venue check_small year check_small cited-by count check_small PDF link

Common use: A research-analytics product scrapes Google Scholar to build citation graphs and track how often a given paper or author is cited over time.

Everything you need to scrape Google Scholar

You never expose your own IP, you get validated JSON instead of raw HTML, and the free tier covers google scholar scraper at 1,000 requests a month with no card required.

data_object

Clean structured JSON

The Google Scholar page comes back as JSON in the parse mode you choose: auto, html, text, or json. No selectors to maintain for google scholar scraper.

gpp_good

Bypasses CAPTCHAs and anti-bot defenses

We get past CAPTCHAs, IP rate limiting, IP blocking, and headless-browser detection on Google Scholar using rotating, country-matched residential proxies, so requests look like real users and your own IP stays private.

api

One API call

Scraping Google Scholar is one simple API call. The same key works across our whole web scraping API: all 235 targets, any language, no SDK required.

travel_explore

Geo-targeting and JS rendering

Pass a country for proxy geo-targeting and turn on JavaScript rendering when a Google Scholar page needs it. google scholar data api handles dynamic content and region-locked results.

Scrape Google Scholar in one API request

Send one API request to the Universal Web Scraper API with a Google Scholar URL and read the page back as JSON. Chocodata routes it through residential proxies and retries soft blocks, so google scholar api works without a Google Scholar-specific integration.

  • check_circle JSON in the parse mode you choose
  • check_circle Residential-proxy infrastructure
  • check_circle Only successful 2xx responses are billed
Get your free API key

Request

curl "https://api.chocodata.com/api/v1/universal/get?api_key=YOUR_API_KEY&url=https://www.googlescholar.com/"

Response

{
  "success": true,
  "url": "https://www.googlescholar.com/",
  "status": 200,
  "content": "parsed Google Scholar page content..."
  // + more fields
}

Parameters

Google Scholar routes through the Universal Web Scraper API, so the parameters are the universal ones: the URL to fetch, an optional parse mode, and an optional country for proxy geo-targeting.

Parameter Type Required Example
url string required https://example.com
parse enum optional auto
country string optional us

Enum parameters accept a fixed set of values. For example, parse accepts auto, html, text, json.

What you can build with Google Scholar data

Once the scraping API returns Google Scholar search data as clean JSON, these are the patterns teams reach for most.

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Rank Tracking And SERP Monitoring

Measure Google Scholar rankings and SERP positions daily to see how visibility moves.

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Keyword Research At Scale

Query Google Scholar for thousands of keywords at once to size demand and competition.

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Ad And SERP Feature Analysis

Capture ads and rich features on Google Scholar to see who is buying placement and where.

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Brand Mention Tracking

Detect mentions of your brand across Google Scholar and route them into your monitoring stack.

Why developers pick Chocodata for Google Scholar

bolt

Fast at the tail

Median 2.6 s per request with multi-tier retry, so latency stays predictable even when Google Scholar fights back.

verified_user

Parity-checked output

The Universal scraper returns the live page faithfully in your chosen parse mode.

hub

One key, 235 targets

The same scraping API key that scrapes Google Scholar works across every other target, with official Node, Python, and Go SDKs.

Simple pricing that scales with you

Start free with 1,000 requests a month and 5,000 credits, no credit card. Scale on monthly plans from $19, or top up pay-as-you-go at $0.90 per 1,000 successful requests. Only successful 2xx responses are billed, and every plan covers the full scraping API: all 235 targets and every endpoint.

Free

$0

Forever free on signup

  • check_circle1,000 requests / month (5,000 credits)
  • check_circle10 concurrent requests
  • check_circleAll 237 targets
  • check_circleFull dashboard + analytics
  • check_circleTop-up at $0.90 / 1k
  • check_circleCommunity support
Start free
Most popular

Vibe

$19 / month

$0.70 / 1k effective

  • check_circle27,000 requests / month (135,000 credits)
  • check_circle30 concurrent requests
  • check_circleAll 237 targets + content-language
  • check_circleCountry-matched residential IPs
  • check_circlePer-API-key usage tracking
  • check_circleTop-up at $0.90 / 1k
  • check_circleEmail support (1 business day)
Get Vibe

Pro

$49 / month

$0.60 / 1k effective

  • check_circle82,000 requests / month (410,000 credits)
  • check_circle50 concurrent requests
  • check_circlePriority routing queue
  • check_circleCountry-matched residential IPs
  • check_circleTeam seats (up to 5)
  • check_circleTop-up at $0.90 / 1k
  • check_circleEmail + chat support
Get Pro

Custom

$100-$2k / month

Flat $0.50 / 1k effective at every level

  • check_circle200k - 4M+ requests / month
  • check_circle100-500+ concurrent requests
  • check_circlePriority queue (highest)
  • check_circlePremium proxy pool + SLA on request
  • check_circleUnlimited team seats
  • check_circleWire / invoice / annual PO
  • check_circleDedicated Slack channel
Pick Custom level

Pay-as-you-go top-up

$0.90 / 1,000 successful requests

Available on every plan including Free. Top up any time when included credits run out. Only 2xx responses charged. Balance never expires.

Google Scholar Scraper API FAQ

Is it legal to scrape Google Scholar?

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Scraping publicly accessible Google Scholar data is generally legal in the US under the Ninth Circuit's hiQ v. LinkedIn ruling, which held that scraping public web data does not violate the Computer Fraud and Abuse Act. It does not override Google Scholar's own Terms of Service, which are a contract matter, so check those for your use case and comply with data laws such as GDPR. This is general information, not legal advice.

How do I scrape Google Scholar without getting blocked?

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You scrape Google Scholar without getting blocked by sending the URL to the Universal Web Scraper API, which fetches it through rotating residential proxies and retries on soft blocks. Your own IP is never used, so Google Scholar's anti-bot layer sees ordinary residential traffic instead of a server.

What data does the Google Scholar Scraper API return?

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Through the Universal Web Scraper API you get the Google Scholar page back as JSON: rendered HTML, plain text, or auto-parsed content depending on the parse mode you pass. You choose the URL, Chocodata returns the data.

How much does the Google Scholar Scraper API cost?

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The Google Scholar Scraper API costs nothing to start: the Free plan includes 1,000 requests per month (5,000 credits) across all 235 targets. After that, monthly plans begin at $19, or you top up pay-as-you-go at $0.90 per 1,000 successful requests. One request is 5 credits, and non-2xx responses are never charged.

Do I need a Google Scholar account or login?

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No Google Scholar login is needed for public pages. You point the Universal Web Scraper API at a publicly accessible Google Scholar URL with your Chocodata API key; you do not hand over any Google Scholar credentials. Login-gated content is not supported.

Related scraper APIs

Start scraping Google Scholar for free

1,000 free scraping API requests on signup across all 235 targets. No credit card required.