Short answer: use an authorized search-results API, request its largest documented page, page with offsets until you reach 1,000 unique URLs, and time the complete process from the first request through storage. Bing Web Search API documents a maximum requested page size of 50, so 1,000 rows require at least 20 requests when every page is full and non-overlapping. That is arithmetic, not a five-minute guarantee. Short pages, duplicate results, throttling, retries, network latency and the query’s available depth can all change the outcome.
The workflow below gives you a defensible way to collect the data, measure it for your query and market, and report whether your run met the five-minute target. It also explains why a Google query cannot automatically be treated as a commercial scraping job.
What “1,000 results in five minutes” really means
Define the target before writing code. A credible run should record:
- the exact query string and language;
- the market or geography sent to the provider;
- the API, edition and documented page-size setting;
- the number of requests, raw rows and unique normalized URLs;
- elapsed wall-clock time, including retries, parsing, deduplication and persistence.
Count unique results, not requests and not rows. Search engines can return fewer items than requested, repeat a URL on later pages, or stop returning new URLs even though an offset remains. Your result is therefore “1,000 unique URLs collected in 4 minutes 32 seconds for query Q, market M, using settings S,” rather than a universal claim that the provider always meets five minutes.
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Choose an access route that permits your use
Bing Web Search API
Microsoft’s Bing Web Search API documents a count parameter with a maximum of 50 and an offset parameter for paging. The response can be shorter than requested, and pages can overlap. At the documented maximum, the theoretical minimum for 1,000 rows is 20 page requests (1,000 ÷ 50). Reaching 1,000 unique URLs may require more than 20 requests or may be impossible for a shallow query.
Google Search Researcher Result API
Google documents a Search Researcher Result API for approved researcher projects. Its program terms restrict use to non-commercial work. The documented quota of 1,000 queries per day per approved project is a query quota, not permission to receive 1,000 results from one query and not a commercial scraping allowance. Confirm eligibility and current terms before building against it.
Do not automate ordinary Google result pages without permission
Google Search Central states that machine-generated traffic, including automated queries and scraping search results without express permission, violates its spam policies and the Google Terms of Service. Use an API or provider whose contract explicitly covers your project instead of driving a normal search page with a bot.
Design the collection record before paging
Store enough context to reproduce and audit the run. A practical record contains:
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- the URL exactly as returned and a normalized URL used for deduplication;
- title and snippet when the API supplies them;
- retrieval timestamp in UTC;
- request number, offset and HTTP status.
Keep the original response fields even after normalization. For deduplication, lowercase the host, remove a URL fragment, normalize a default port and sort only query parameters that you know are order-insensitive. Do not blindly remove every parameter: tracking parameters can distinguish pages, while some applications use parameters as content selectors. Save both the raw URL and your chosen key so the decision is reversible.
Paging algorithm
- Set the provider’s largest documented page size (50 for Bing’s
countparameter). - Start at the provider’s first offset, normally zero.
- Request one page with a timeout and bounded retry policy.
- Append returned rows to durable storage immediately; do not wait until the end to write a large in-memory list.
- Normalize URLs and add only unseen keys to the unique set.
- Advance the offset by the number requested or by the provider’s documented paging rule. Never assume that a short page means the next offset is safe unless the API documentation says so.
- Stop when the unique set reaches 1,000, the response supplies no usable results, or a configured maximum offset/request count is reached.
- Record raw rows, unique count, elapsed time and every retry. A run that stops with 742 unique URLs should report 742, not “1,000 attempted.”
Python collector with timing, retries and deduplication
The endpoint URL and authentication header are deliberately supplied through environment variables so you can use the provider and contract approved for your project. Set SEARCH_API_URL, SEARCH_API_KEY and, if needed, SEARCH_API_KEY_HEADER before running.
import csv
import os
import sys
import time
from urllib.parse import urlsplit, urlunsplit
import requests
API_URL = os.environ["SEARCH_API_URL"]
API_KEY = os.environ["SEARCH_API_KEY"]
KEY_HEADER = os.getenv("SEARCH_API_KEY_HEADER", "Ocp-Apim-Subscription-Key")
QUERY = sys.argv[1] if len(sys.argv) > 1 else "example query"
MARKET = os.getenv("SEARCH_MARKET", "en-US")
PAGE_SIZE = 50
TARGET = 1000
MAX_RETRIES = 3
TIMEOUT = 20
def normalize_url(value):
parts = urlsplit(value)
host = (parts.hostname or "").lower()
port = parts.port
netloc = host
if port and not ((parts.scheme == "http" and port == 80) or
(parts.scheme == "https" and port == 443)):
netloc += f":{port}"
return urlunsplit((parts.scheme.lower(), netloc, parts.path or "/", parts.query, ""))
def get_page(offset):
params = {"q": QUERY, "count": PAGE_SIZE, "offset": offset, "mkt": MARKET}
headers = {KEY_HEADER: API_KEY}
for attempt in range(MAX_RETRIES + 1):
response = requests.get(API_URL, params=params, headers=headers, timeout=TIMEOUT)
if response.status_code == 200:
return response.json()
if response.status_code in (408, 429, 500, 502, 503, 504) and attempt < MAX_RETRIES:
time.sleep(2 ** attempt)
continue
response.raise_for_status()
raise RuntimeError("unreachable")
# Adapt this extractor to the response schema documented by your provider.
def extract_rows(payload):
return payload.get("webPages", {}).get("value", [])
start = time.perf_counter()
seen = set()
rows_out = []
offset = 0
requests_made = 0
while len(seen) < TARGET:
payload = get_page(offset)
requests_made += 1
page = extract_rows(payload)
if not page:
break
for position, item in enumerate(page, start=1):
url = item.get("url")
if not url:
continue
key = normalize_url(url)
if key in seen:
continue
seen.add(key)
rows_out.append({
"query": QUERY,
"market": MARKET,
"rank": offset + position,
"url": url,
"normalized_url": key,
"name": item.get("name", ""),
"snippet": item.get("snippet", ""),
"retrieved_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
})
if len(seen) >= TARGET:
break
offset += PAGE_SIZE
if len(page) < PAGE_SIZE:
# A short page is a warning, not proof that no later results exist.
# Continue only if your provider documents safe offset paging.
pass
elapsed = time.perf_counter() - start
with open("results.csv", "w", newline="", encoding="utf-8") as handle:
writer = csv.DictWriter(handle, fieldnames=rows_out[0].keys() if rows_out else
["query", "market", "rank", "url", "normalized_url", "name", "snippet", "retrieved_at"])
writer.writeheader()
writer.writerows(rows_out)
print({"unique": len(seen), "raw_rows": len(rows_out),
"requests": requests_made, "seconds": round(elapsed, 3),
"under_five_minutes": elapsed < 300 and len(seen) >= TARGET})The sample uses the response shape documented for Bing’s web-page collection (webPages.value). If your approved provider uses another field name, change only extract_rows and the authentication parameters. Test with a small target first, then inspect whether offsets overlap before running the full collection.
Equivalent request patterns
cURL
curl --get "$SEARCH_API_URL"
-H "${SEARCH_API_KEY_HEADER:-Ocp-Apim-Subscription-Key}: $SEARCH_API_KEY"
--data-urlencode "q=example query"
--data "count=50"
--data "offset=0"
--data "mkt=en-US"
-o page-000.jsonNode.js
const url = new URL(process.env.SEARCH_API_URL);
url.searchParams.set('q', process.argv[2] || 'example query');
url.searchParams.set('count', '50');
url.searchParams.set('offset', '0');
url.searchParams.set('mkt', process.env.SEARCH_MARKET || 'en-US');
const res = await fetch(url, {
headers: {
[process.env.SEARCH_API_KEY_HEADER || 'Ocp-Apim-Subscription-Key']:
process.env.SEARCH_API_KEY
}
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
console.log(JSON.stringify(await res.json()));Wrap the Node request in the same loop as the Python example, using an exponential backoff for transient 408, 429 and 5xx responses and writing each page as it arrives.
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Making the five-minute target measurable
Separate latency from result depth
Measure DNS, connection, server response, JSON parsing, URL normalization and disk writes as one wall-clock interval. A fast API cannot produce 1,000 unique URLs if the query itself has fewer available results. Run the same query more than once only when you need an operational baseline, and report the spread rather than selecting the fastest run.
Use safe concurrency
Sequential requests are simplest and respect ordering. Limited concurrency can reduce wall time when the provider permits it, but it complicates offsets, rate limits and retries. Do not launch 20 simultaneous calls merely because 20 is the theoretical minimum. Start with one worker, inspect quota headers and documented limits, then increase concurrency gradually while preserving request logs and backoff.
Persist incrementally
Write newline-delimited JSON or CSV after each page, or use a database transaction per page. If the process fails at page 14, you can resume from the last recorded offset and deduplicate against existing keys instead of losing the entire run.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Common failures and fixes
| Symptom | Likely cause | Fix |
|---|---|---|
| 401 or 403 | Missing, expired or unauthorized credential | Check the key header, project eligibility, subscription and permitted geography; do not retry unchanged credentials. |
| 429 | Rate or quota limit | Honor the provider’s retry-after instruction, reduce concurrency and verify daily quota. A quota of 1,000 queries does not equal 1,000 results. |
| 200 responses with fewer than 50 rows | Short page, ranking limits or a shallow query | Keep paging according to the provider’s rules, count unique URLs and stop when no new results arrive. |
| Many duplicates | Overlapping pages or overly aggressive/weak normalization | Log original URLs and normalized keys; adjust normalization without deleting meaningful query parameters. |
| Timeouts or 5xx errors | Transient network or service failure | Use bounded exponential backoff, a finite retry count and incremental persistence. Exclude retry sleep from no part of the measurement; it is part of elapsed time. |
| Run exceeds five minutes | Latency, retries, throttling or too many pages | Report the measured result, then test a larger documented page size, lower-but-permitted concurrency or a closer region. Never change the number after collection to imply success. |
What to publish with your dataset
Include a method note containing the query, UTC start and end times, market, API and version, page size, number of requests, raw rows, unique URLs, retry count and elapsed seconds. State whether the run was commercial or research use and why your access terms allow it. This turns a headline claim into a reproducible measurement rather than an unsupported performance promise.
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See the full parameter list in the ScreenshotNeo documentation. A direct call looks like this:
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpPython:
import requests
r = requests.get("https://api.screenshotneo.com/v1/shot", params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"}, timeout=90)
open("shot.webp", "wb").write(r.content)Node.js:
const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);Every plan includes full-page lazy-image loading, selector capture, device and viewport controls, custom CSS or JavaScript, waits, request blocking, headers and cookies, PDF options, signed links, asynchronous jobs, bulk capture for 100 URLs per call, usage reporting and an OpenAPI specification. The free plan includes 1,000 screenshots per month with no card; paid plans start at $5 for 3,000. Create a free ScreenshotNeo account to try it.
FAQ
Can one query always return 1,000 results?
No. Availability depends on the query, market, provider and ranking depth. A page-size setting controls how many items are requested, not how many distinct items exist.
Does Google’s 1,000-query quota provide 1,000 results?
No. It is a daily query allowance for approved researcher projects, with non-commercial restrictions; it is not a per-query result guarantee.
Should I remove every tracking parameter when deduplicating?
No. Remove only parameters you have verified are non-content tracking fields. Preserve the original URL and document your normalization rules.
Is 20 the number of requests I should budget?
Twenty is only the mathematical minimum at 50 requested rows per page with no short pages or overlap. Real runs can need more requests or fail to reach 1,000 unique URLs.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
