Site scraper

Google Image Scraper: Public Image Results via API

HTTP $0.50JS rendering $2.00 per 1,000 results or your own scraper from $1.95/GB

For a long Google Images keyword list, ProxyField gives you a route that runs today: the batch script on this page opens one Images page per keyword through ProxyField residential proxies, writes one CSV row per image (position, title, source, link, thumbnail, original, original_width, original_height), and a second script downloads the files. At an example of 1 MB of traffic per keyword with images blocked, 10,000 keywords are about 10 GB: $27.90 at $2.79/GB. Measure 10 keywords first, starting with the Easy Trial: 1 GB for $2.95. ProxyField's Web Scraping API is designed for the same job without a browser on your side: batches of up to 1,000 keywords, $2.00 per 1,000 successful results, or $1.00 from 10,000 in one purchase ($10 for 10,000 keywords). It is in development (Contact sales) and returns the rendered page, not parsed Images fields: ProxyField has no parsed Images endpoint.

Web Scraping API per 1,000 successful results
Web Scraping API prices per 1,000 successful results
FetchEntryVolume, from
HTTP$0.50$0.20
JS rendering$2.00$1.00

Billed on successful results only.

Your own scraper on residential proxies
from $1.95/GB Easy Trial: 1 GB for $2.95
gate.proxyfield.io:7000
You needProxyField
Google Images pages, todayyour own Playwright script on residential proxies: $2.95/GB for 1 GB, $2.79 from 10 GB, from $1.95/GB; 10,000 keywords ≈ 10 GB = $27.90 at an example 1 MB per keyword
Google Images pages (API design)Web Scraping API with JS rendering: $2.00 per 1,000 successful results, $1.00 from 10,000 in one purchase
Per keyword (one Images page each)$0.002, or $0.001 from 10,000 keywords in one purchase; 1,000 keywords of links only: $2.00
Long keyword listsbatches of up to 1,000 requests, a signed callback per finished job, results kept 48 hours, 20 requests at once (higher through sales)
More images per keywordan infinite_scroll step (up to 50 scrolls) inside the same request, still one result
Image fieldsposition, title, source, link, thumbnail, original, original_width, original_height, read by the parser on this page from the rendered HTML; there is no parsed Google Images endpoint
Image filesdownloaded from the source sites, through residential proxies at $2.95/GB for 1 GB, from $1.95/GB
Whole job, example10,000 keywords × 100 images: on the API design $10 + $498 = $508; today on proxies about 210 GB = $522.90; links only: $10 (API) or $27.90 (proxies)
Countriesevery country of the pool, 195+; set gl and hl in the URL too
Paymentone crypto balance for the API and proxies, never expires, no subscription
Data

Which route to choose for a long keyword list

If youChooseWhat you get
Want to start today, on your own machine or serverThe batch script below on ProxyField residential proxies, then the download scriptOne CSV row per image and the files on disk; you pay per GB of traffic, from $2.95/GB for 1 GB to $1.95/GB from 1,000 GB
Want the pages and the image downloads on one pool and one crypto balance, without running a browser, and will keep your own selectorsProxyField's Web Scraping API (in development, Contact sales)Batches of 1,000, callbacks, $2.00 per 1,000 pages or $1.00 from 10,000, files through residential proxies
Want a ready list of parsed fields and have nobody to maintain selectorsA SERP API that has a parsed Google Images endpointThe vendor updates the parser when Google changes its page. ProxyField has no such endpoint: the API design leaves Google's Images tab out of the Google SERP API in its first version (API documentation)

Google's own Custom Search JSON API is not a route for a new project: Google's notice says it "is closed to new customers", and existing customers "have until January 1, 2027 to transition to an alternative solution" (quoted in Wikimedia Phabricator task T425144, May 1, 2026).

What you get: one CSV row per image

Both routes on this page write the same file, one row per image, with the field names that parsed Images endpoints commonly use. The values below are an example:

keyword,position,title,source,link,thumbnail,original,original_width,original_height
red bicycle,1,Red city bike with basket,shop.example.com,https://shop.example.com/bikes/red-city,https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9Gc…,https://shop.example.com/img/red-city-bike.jpg,1200,800

The same row as JSON, if you load the CSV into a pipeline that expects records:

JSON
{"keyword": "red bicycle", "position": 1, "title": "Red city bike with basket", "source": "shop.example.com",
 "link": "https://shop.example.com/bikes/red-city", "thumbnail": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9Gc…",
 "original": "https://shop.example.com/img/red-city-bike.jpg", "original_width": 1200, "original_height": 800}
FieldWhere it comes fromEmpty when
keywordyour keywords.txt line (the batch item's tag on the API)never
positionthe tile's position in the grid, from EXTRACTnever
titlethe tile's text or the image's alt, from EXTRACT (cut at 200 characters)the tile has no text and no alt
sourcethe host name of linknever
linkthe tile's link to the page that holds the image, from EXTRACTnever: tiles without an outside link are skipped
thumbnailthe tile's img address on gstatic.com, from EXTRACTthe thumbnail is embedded in the page as data, not a URL
original, original_width, original_heightthe page's inline data ["<url>",<height>,<width>], read by ORIGINAL and matched by pair()no original on the same site as the source page (a CDN, for example)

The row still has the source page (link) when the original is blank, so the image can be read there. Large photos only: add &tbs=isz:l,itp:photo to each Images URL; the other filter values are in Filters in the URL.

Run it today: a batch Google Images scraper on ProxyField proxies

This route works now, without the API. Playwright runs the page's scripts, which a plain HTTP request would not. Save the parser as imgparse.py; the Web Scraping API route below uses the same file.

Python
# imgparse.py: read Google Images tiles and original image URLs from a rendered results page
import json, re
from urllib.parse import urlsplit

# A JavaScript expression run in the page: one object per result tile. Check the selectors on a live page first.
EXTRACT = """
[...document.querySelectorAll('a[href^="http"]')]
  .filter(a => !a.href.includes('google.') && a.querySelector('img'))
  .map((a, i) => {
    const img = a.querySelector('img');
    return {position: i + 1, link: a.href,
            title: (a.innerText || img.alt || '').trim().slice(0, 200),
            thumbnail: img.src.startsWith('http') ? img.src : (img.dataset.src || '')};
  })
"""

# Original images sit in the page's inline data as ["<url>",<height>,<width>]; thumbnails are on gstatic.com.
ORIGINAL = re.compile(r'\["(https?://[^"]+)",(\d+),(\d+)\]')

def originals(html):
    seen, out = set(), []
    for url, height, width in ORIGINAL.findall(html):
        url = json.loads(f'"{url}"')                     # undo escapes such as =
        if "gstatic.com" in url or url in seen:
            continue
        seen.add(url)
        out.append((url, int(width), int(height)))
    return out

def site(url):
    """example.com from img.example.com; shop.example.co.uk -> example.co.uk"""
    parts = (urlsplit(url).hostname or "").split(".")
    n = 3 if len(parts) > 2 and len(parts[-1]) == 2 and len(parts[-2]) <= 3 else 2
    return ".".join(parts[-n:])

def pair(tiles, full):
    """Give each tile the first unused original on the same site as its source page, or blanks."""
    left = list(full)
    for t in tiles:
        hit = next((o for o in left if site(o[0]) == site(t["link"])), None)
        if hit:
            left.remove(hit)
        yield t, hit or ("", "", "")
Python
# scrape_images.py: one Images page per keyword from keywords.txt, one CSV row per image
import csv, random, time, uuid
from urllib.parse import urlencode, urlsplit
from playwright.sync_api import sync_playwright
from imgparse import EXTRACT, originals, pair

LOGIN, PASSWORD = "<login>", "<password>"
keywords = [k.strip() for k in open("keywords.txt") if k.strip()]

with sync_playwright() as p, open("images.csv", "w", newline="", encoding="utf-8") as f:
    out = csv.writer(f)
    out.writerow(["keyword", "position", "title", "source", "link", "thumbnail",
                  "original", "original_width", "original_height"])
    for kw in keywords:
        session = uuid.uuid4().hex[:8]                    # one sticky IP per keyword, held up to 10 min
        browser = p.chromium.launch(proxy={
            "server": "http://gate.proxyfield.io:7000",
            "username": f"{LOGIN}-country-us-session-{session}-ttl-600",
            "password": PASSWORD})
        page = browser.new_page(locale="en-US")
        page.route("**/*", lambda r: r.abort() if r.request.resource_type in ("image", "media", "font") else r.continue_())
        url = "https://www.google.com/search?" + urlencode({"q": kw, "udm": 2, "hl": "en", "gl": "us"})
        try:
            page.goto(url, wait_until="networkidle", timeout=90_000)
            for _ in range(3):                            # scroll for more tiles
                page.mouse.wheel(0, 4000)
                page.wait_for_timeout(1500)
            tiles = page.evaluate(EXTRACT)
            for t, (orig, width, height) in pair(tiles, originals(page.content())):
                out.writerow([kw, t["position"], t["title"], urlsplit(t["link"]).hostname, t["link"],
                              t["thumbnail"], orig, width, height])
            print(kw, len(tiles), "tiles")
        except Exception as e:                            # a timeout or a challenge page: log it, go on
            print(kw, "failed:", e)
        browser.close()
        time.sleep(random.uniform(5, 10))                # a few seconds between searches
Read moreShow less

What to expect:

  • One sticky IP per keyword: -session-<id>-ttl-600 keeps one exit IP for the whole search and its scrolls; the next keyword opens a new session, so the searches spread over the pool. Without ttl, a session holds 20 minutes.
  • Images are blocked in the browser to save traffic: the script needs the page's HTML, not the image files. Download the files you keep in a second step.
  • Blank originals are expected where an image is served from another domain than its source page, such as a CDN. Open the source page for those, or check a few rows against their source pages before a long run.
  • Measure before you scale: run 10 keywords, read the traffic in the dashboard's real-time usage stats, and multiply by your list. With country-us you can add -city-<city> (for example city-new_york) or switch country-<cc> and gl for another country.
  • When Google changes its page, update EXTRACT and ORIGINAL in imgparse.py; both routes pick the change up.

Download the files

The second step reads images.csv, fetches each original through a rotating residential IP (no session: a new IP on every request), saves it under a hash of its URL and writes files.csv with the source page and a blank license column for you to fill from the source page.

Python
# download_images.py: fetch every original in images.csv through rotating residential IPs
import csv, hashlib, os
from concurrent.futures import ThreadPoolExecutor
import requests

LOGIN, PASSWORD = "<login>", "<password>"                 # URL-encode them if they hold : or @
PROXY = f"http://{LOGIN}-country-us:{PASSWORD}@gate.proxyfield.io:7000"
EXT = {"image/jpeg": ".jpg", "image/png": ".png", "image/webp": ".webp", "image/gif": ".gif", "image/avif": ".avif"}
os.makedirs("images", exist_ok=True)

def fetch(row):
    url = row["original"]
    name = hashlib.sha1(url.encode()).hexdigest()[:16]    # the same URL always maps to the same file
    try:
        r = requests.get(url, proxies={"http": PROXY, "https": PROXY}, timeout=30,
                         headers={"User-Agent": "Mozilla/5.0", "Referer": row["link"]})
        ctype = r.headers.get("Content-Type", "").split(";")[0].strip()
        if r.status_code != 200 or ctype not in EXT:       # an error page is not an image: skip it
            return {**row, "file": "", "bytes": 0, "status": f"{r.status_code} {ctype}", "license": ""}
        path = os.path.join("images", name + EXT[ctype])
        with open(path, "wb") as f:
            f.write(r.content)
        return {**row, "file": path, "bytes": len(r.content), "status": "ok", "license": ""}
    except requests.RequestException as e:
        return {**row, "file": "", "bytes": 0, "status": type(e).__name__, "license": ""}

rows, seen = [], set()
for row in csv.DictReader(open("images.csv", encoding="utf-8")):
    if row["original"] and row["original"] not in seen:   # skip blanks and duplicates
        seen.add(row["original"])
        rows.append(row)

with ThreadPoolExecutor(max_workers=8) as pool, open("files.csv", "w", newline="", encoding="utf-8") as f:
    out = csv.DictWriter(f, fieldnames=["keyword", "position", "source", "link", "original",
                                        "file", "bytes", "status", "license"], extrasaction="ignore")
    out.writeheader()
    for result in pool.map(fetch, rows):
        out.writerow(result)

What to expect: images/ fills with files named like 3f9a0c2e7b1d4a55.jpg, and files.csv gets one line per original with ok or the reason it was skipped (403 text/html, ReadTimeout). Eight downloads at a time spread over many sites is a modest rate; lower max_workers if one site holds most of your list. The files are proxy traffic, billed per GB: at 200 KB per image, 1,000 files are about 0.2 GB, $0.59 at $2.95/GB. More on naming files and duplicate images: How to Scrape Images With Python. Browser automation in general: Playwright.

Access opens once the payment is confirmed; the gateway, credentials or allowlist are in your account. The pool is clean for Google, checked and segmented; Google can still answer any client with a challenge page, which the script logs and skips. Residential proxies cost $2.95/GB for 1 GB, $2.79 from 10 GB, $2.49 from 100 GB and $1.95 from 1,000 GB, with unlimited concurrent threads and a new IP on every request or sticky sessions from 30 s to 36 h; the traffic never expires, and all purchases are final.

The same job on the Web Scraping API (design)

The API's design does the browser work on ProxyField's side, in batches:

  1. Build one URL per keyword https://www.google.com/search?q=<keyword>&udm=2&hl=en&gl=us. udm=2 opens the Images tab; hl and gl set the language and country.

  2. Send them as a batch of up to 1,000 per call to POST https://api.proxyfield.io/v1/jobs/batch, with render: true, an infinite_scroll action for more than the first screen and an evaluate action that runs EXTRACT. Each finished job is posted to your callback_url, signed with X-ProxyField-Signature, and stays available for 48 hours.

  3. Write a CSV row per image with imgparse.py: the tiles from the evaluate result, the originals from content, the rendered HTML in the same response.

  4. Download the files with the download script, which stores the source page and a license column beside every file.

Read moreShow less

You write and maintain the selectors: when Google changes its page, you update imgparse.py. The design's request and fields are in the API documentation.

Python
import requests
from urllib.parse import urlsplit
from imgparse import EXTRACT, originals, pair

API = "https://api.proxyfield.io/v1"
HEADERS = {"Authorization": "Bearer <api_key>", "Content-Type": "application/json"}

keywords = [k.strip() for k in open("keywords.txt") if k.strip()]
for start in range(0, len(keywords), 1000):                  # up to 1,000 items per batch
    items = [{"url": f"https://www.google.com/search?q={requests.utils.quote(k)}&udm=2&hl=en&gl=us",
              "tag": k} for k in keywords[start:start + 1000]]
    batch = requests.post(f"{API}/jobs/batch", headers=HEADERS, json={
        "api": "web_scrape",
        "params": {"render": True, "country": "us", "output": "json",
                   "actions": [{"type": "infinite_scroll", "max_count": 5, "delay_ms": 1500},
                               {"type": "evaluate", "script": EXTRACT}]},
        "items": items,
        "callback_url": "https://your-server.example/proxyfield-callback"}).json()
    print(batch["id"], batch["counts"])

# In your callback handler (one POST per finished job): job["result"] is the scrape response.
def save(job, writer):
    res = job["result"]
    tiles = res["actions_log"][-1]["result"] or []
    for t, (orig, width, height) in pair(tiles, originals(res["content"])):
        writer.writerow([res["metadata"]["tag"], t["position"], t["title"], urlsplit(t["link"]).hostname, t["link"],
                         t["thumbnail"], orig, width, height])

What a long Google Images job costs

Two routes, two meters. Today, on your own scraper, everything is proxy traffic, billed per GB: the Images pages (an example of 1 MB per keyword with images, fonts and media blocked) and the files (an example of 200 KB per image). On the API design, pages are billed per successful result and only the files go through proxies. Real pages and images vary widely, so measure 10 keywords and a sample of files first; the dashboard shows your usage in real time.

JobToday: pages on proxies (1 MB each)API design: pages per resultImage files on proxies (200 KB each)Total todayTotal on the API
500 keywords, links only0.5 GB, inside a 1 GB Easy Trial: $2.95$1.00 at $2.00 per 1,000none$2.95$1.00
500 keywords × 50 images0.5 GB$1.0025,000 files ≈ 5 GB5.5 GB ≈ $16.23 at $2.95/GB$1.00 + $14.75 = $15.75
10,000 keywords, links only10 GB: $27.90 at $2.79/GB$10 at $1.00 per 1,000none$27.90$10
10,000 keywords × 100 images10 GB$101,000,000 files ≈ 200 GB210 GB: $522.90 at $2.49/GB$10 + $498 (200 GB at $2.49) = $508

Per image, the 10,000-keyword job with files costs about $0.52 per 1,000 images today, or $0.51 on the API design; most of the bill is the files either way. Extra scrolls inside one request do not add results: one page fetched is one result. Weekly or daily runs multiply the page cost: 200 brand keywords every day for 30 days is 6,000 results, $12 at $2.00 per 1,000.

What a Google Images results page holds

A Google Images search returns a grid of images found on other websites. Google shows a thumbnail of each and links it to the page it came from; the full-size image stays on that site.

ItemWhat you can read from the results page
ThumbnailA small copy that Google serves, often embedded in the page
TitleThe text Google shows with the image, usually from the source page
SourceThe website's name and the URL of the page that holds the image
Original image URLThe address of the full-size file on the source site, in the page's data
Size and positionThe image's dimensions where Google shows them, and its rank in the grid
Filters and related searchesSize, color, type, license and time filters, and the chips of related searches

Filters in the URL

Google Images filters are URL parameters, so they go into the URL you send. Common values of tbs (Google can change them):

FilterParameter
Large imagestbs=isz:l (medium isz:m)
Photos onlytbs=itp:photo (clip art itp:clipart, line drawings itp:lineart, GIFs itp:animated)
A colortbs=ic:specific,isc:red
Creative Commons licensestbs=il:cl
Past weektbs=qdr:w (day qdr:d, month qdr:m, year qdr:y)

Combine several with commas: tbs=isz:l,itp:photo. A license filter helps you find candidates; it does not replace checking the license on the source page.

The request, for one keyword

The API's design takes a POST to https://api.proxyfield.io/v1/scrape with your API key in an Authorization: Bearer <api_key> header and a JSON body: url, render (true for Google Images), country, output (html, markdown, text or json), wait_for (a CSS selector to wait for) and up to 20 actions. With output: json, the response holds status_code, final_url, content (the rendered page) and actions_log, where each evaluate step puts its return value in result. Images, fonts and media are skipped by default (block_resources), so the page loads faster.

Shell
# The request the Web Scraping API takes (access through Contact sales)
curl https://api.proxyfield.io/v1/scrape \
  -H "Authorization: Bearer <api_key>" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://www.google.com/search?q=red+bicycle&udm=2&hl=en&gl=us", "render": true, "country": "us", "output": "json",
       "actions": [{"type": "infinite_scroll", "max_count": 5, "delay_ms": 1500}]}'

Example response (shortened; content is the rendered page's HTML):

JSON
{
  "metadata": {"id": "req_6f8475d850d06b3c", "api": "web_scrape", "status": "success", "billed": true},
  "status_code": 200,
  "final_url": "https://www.google.com/search?q=red+bicycle&udm=2&hl=en&gl=us",
  "content_type": "text/html; charset=UTF-8",
  "content": "<!doctype html><html itemscope=\"\" itemtype=\"http://schema.org/SearchResultsPage\" lang=\"en\">…</html>",
  "actions_log": [{"type": "infinite_scroll", "ok": true}]
}
RoutePrice per 1,000 successful resultsUse it for
Web Scraping API, JS rendering$2.00, $1.00 from 10,000Google Images result pages
Web Scraping API, plain HTTP$0.50, $0.20 from 10,000Source pages that need no scripts
Google SERP API$1.20, $0.80 from 10,000The main Google results page as JSON, with the AI Overview, People Also Ask and the local pack parsed

The API design leaves the Google Images tab out of the Google SERP API's first version, so Images pages go through the Web Scraping API.

Pricing

Pricing and billing

Google Images pages cost the Web Scraping API's JS rendering price: $2.00 per 1,000 successful results, or $1.00 from 10,000 results in one purchase. You pay only for successful results:

  • Billed: a page Google answered with a 2xx status; a target's 404 or 410, and a sign-in page served with a 200 status, also count as results.
  • Not billed: error responses, blocked and timed-out requests, and our internal retries.
  • Every response says whether it was billed.

The API is paid from the same crypto balance as proxies, which never expires; there is no subscription or monthly fee. For access, contact sales through the sales team on our 24/7 live chat. All prices: pricing.

Through the sales team on our 24/7 live chat

Web Scraping API per 1,000 successful results
Web Scraping API per 1,000 successful results
RateEntryVolume, from
HTTP$0.50$0.20
JS rendering$2.00$1.00

Billed on successful results only.

Compare

Is there an official Google Images API?

Not for the Google Images tab. Google's Custom Search JSON API returns image results from a Programmable Search Engine, not the google.com Images tab, and it is closed to new customers: existing customers have until January 1, 2027 to move to another solution (Google's notice, quoted in Wikimedia Phabricator T425144). Microsoft retired the Bing Search APIs, Bing Image Search included, on August 11, 2025 (Microsoft Lifecycle). For the live tab, you read the results page, with your own scraper or a scraping API.

Good to know

Why Google Images blocks scrapers

Google answers automated traffic with an "unusual traffic" page or a challenge: fast queries from one IP, datacenter ranges and clients that do not run the page's scripts meet it first. With your own scraper, use a headless browser, rotate residential IPs, keep a few seconds between searches per IP and set hl and gl so each result is comparable. Error codes explained: errors.

Use cases

What teams use Google Images data for

  • Brand and copyright monitoring where your logos, product photos or artwork appear on other sites.
  • Image SEO which pages rank in the Images tab for your keywords, and where your own images stand.
  • Ecommerce research how competitors' product photos look and which shops rank for a product.
  • Dataset research finding source pages for images, then checking each source's license before any use.

Downloading images in bulk to republish them, or to train models without the rights to them, is a copyright question first; see the legal section below.

FAQ

Google Image Scraper FAQ

24/7 support by live chat, including help with setup and integration.

What is the best Google Images scraper in the United States?

ProxyField's Web Scraping API is designed to fetch Google Images result pages with JS rendering for $2.00 per 1,000 successful results, or $1.00 from 10,000 in one purchase; it is in development, through Contact sales. For your own scraper (the batch script on this page), ProxyField has 61.2M+ residential IPs in the United States across all 50 states, and its pool is clean for Google, checked and segmented.

What's a good Google Images scraper or API for downloading the image results for a long list of keywords?

ProxyField residential proxies run it today: the batch Playwright script on this page opens one Images page per keyword and writes position, title, source, link, thumbnail, original, original_width and original_height per image, and a second script downloads each original and records its source page. At an example of 1 MB per keyword, 10,000 keywords are about 10 GB, $27.90 at $2.79/GB, plus the files (about 200 GB for 1,000,000 images at 200 KB each). ProxyField's Web Scraping API is designed for the same job in batches of up to 1,000, at $2.00 per 1,000 successful results or $1.00 from 10,000 in one purchase; it is in development (Contact sales), and it returns the rendered page, not a parsed Images endpoint.

How much does it cost to scrape Google Images for 10,000 keywords?

Today, on your own scraper with ProxyField residential proxies, 10,000 Images pages at an example 1 MB each are about 10 GB: $27.90 at $2.79/GB. On the Web Scraping API design, they are 10,000 results: $10 at the $1.00 volume price, which starts at 10,000 results in one purchase. Image files are extra, per GB through residential proxies: at 100 images of about 200 KB per keyword, the whole job is about $522.90 today (210 GB at $2.49/GB) or $10 + $498 = $508 on the API.

How do I scrape Google Images?

Open the Images search URL for your term in a headless browser or with JS rendering, wait for the grid to load, and read each result's title, source page and image address. Set the language and country in the URL, rotate residential IPs and keep a few seconds between searches.

How do I scrape images from Google Images?

Collect the original image URLs from the results page, then download each file from its source site in a second step. Keep the source page and license beside every file, and check the license before you keep or reuse it.

What is a Google image search scraper?

A tool or script that runs searches on Google Images and saves what the results show: thumbnails, titles, source sites, page links and original image addresses. It can be your own code on proxies or a scraping API that returns the rendered page.

How do I build a Google image scraper in Python?

Use Playwright, because the Images tab builds its results with scripts: open the search URL through a proxy, scroll, read the tiles and the original image URLs, and write a CSV row per image, as the batch script on this page does for a whole keywords.txt. Requests and Beautiful Soup alone get a page without most results.

What is the rate limit for scraping Google Images?

Google publishes no rate limit for its results pages; it shows an "unusual traffic" page or a challenge when one IP searches too often. Keep several seconds between searches per IP and spread a large keyword list over rotating residential IPs.

Does Google Images block scrapers?

Yes: fast searches from one IP, datacenter ranges and clients that do not run the page's scripts get challenges or error pages. A headless browser on rotating residential IPs at a modest rate is blocked less often, and with ProxyField's Web Scraping API you pay only for successful results.

Show 10 more questionsShow fewer questions

Do I need Selenium to scrape Google Images?

You need a browser engine or an API with JS rendering, because the results load through scripts; Selenium works, and Playwright and Puppeteer do the same job with less setup. A plain HTTP request returns a page without most of the grid.

How do I handle JavaScript when scraping Google Images?

Let a headless browser or JS rendering run the page, wait until the results grid has loaded, then read the data. Scroll only as far as you need, because every extra screen costs time, and in your own browser, traffic.

Can I scrape Google Images from a specific country?

Yes: set gl and hl in the search URL and send the request through an IP in that country, because results differ by location and language. ProxyField residential proxies offer targeting by country, region (state) and city, with 412M+ residential IPs in 195+ countries.

Will I get blocked when scraping Google Images?

You will if you search fast from one IP or from datacenter IPs. Spread searches over rotating residential IPs, keep a steady pace and save every page that comes back as a challenge, so you can see when to slow down.

Can I scrape Google Images without writing code?

For a few searches, a browser extension that downloads or lists the images on the page is enough, because it works in your own browser. For hundreds of keywords on a schedule, you need a script or an API.

Can proxies really help with scraping Google Images?

Yes: Google limits how many searches one IP can run, and the results depend on the searcher's country. Rotating residential proxies spread the searches and set the country; ProxyField's cost $2.95/GB for 1 GB and from $1.95/GB at volume.

How do I start scraping Google Images?

Pick 10 keywords, open their Images searches in a browser through a proxy in your target country, and note which fields you need. Then automate the same steps with Playwright or send the URLs to a scraping API, and add keywords once the first batch parses cleanly.

Is there a free Google Images API?

Not for Google Images itself: Google's Custom Search JSON API, which returns image results from a Programmable Search Engine within a daily quota, is closed to new customers, and existing customers have until January 1, 2027 to move. Microsoft retired the Bing Search APIs, Bing Image Search included, on August 11, 2025.

What is the best Google image search API?

ProxyField's Web Scraping API is one option: it is designed to return the live Google Images results page with JS rendering for $2.00 per 1,000 successful results, or $1.00 from 10,000. Google's own Custom Search JSON API is closed to new customers and ends for existing ones on January 1, 2027, so it is no route for a new project.

What should I consider when choosing a Google image API?

Whether it returns the live Images tab or another index, the price per 1,000 results and whether failed requests are billed, batch size and callbacks for long lists, country and language settings, and who maintains the parser when Google changes its page. Also check what you may do with the images under their owners' licenses.

Collect Google Image pages with the Web Scraping API

Billed on successful results only. Contact sales for the Web Scraping API and the volume you need, or run your own scraper on residential proxies. 24/7 live chat helps with setup and integration.