Indeed scraper agent hit a 48-hour IP ban — no proxy rotation and the datacenter IP got flagged mid-sourcing

Not specified by the original author.

TL;DR: Wait out the 48-hour ban and do not rotate proxies or IPs to get around it. Dodging the ban breaks the platform's rules and the next IP gets banned too. Move job and candidate data pulls to Indeed's official APIs or an ATS integration, and treat the ban as the signal to stop scraping.

Indeed scraper agent hit a 48-hour IP ban  -  no proxy rotation and the datacenter IP got flagged mid-sourcing

1. Stop all Indeed requests from the flagged IP immediately. Expected: request volume to Indeed drops to zero.
2. Confirm the ban shape: make one manual request and note the block page or error. Expected: a clear access-denied response, not a bug in the scraper code.
3. Wait the full 48 hours with no requests from that IP. Expected: access returns on its own after the window.
4. Before any future pulls, switch to the official route for the data needed. Expected: the agent's next data pull runs through an approved integration with no blocks.

Use this when

• Indeed blocks a sourcing server's IP for roughly 48 hours
• The scrape ran at high volume from a single datacenter IP
• You need the same job or candidate data without risking another ban

Not for this skill when

• The block is a CAPTCHA or challenge page rather than an IP ban (different problem)
• You want proxy setups to keep scraping through the ban (do not do this)
• The errors are 404s or empty results, which point to a code bug, not a ban

Variant phrasings

Indeed blocked our IP for 48 hours during sourcing scrape

Indeed IP ban on datacenter IP from scraper

Indeed access denied after high volume scraping

Why it happens

Job boards fingerprint request patterns, and sustained high-volume traffic from a datacenter IP range with no human characteristics is trivially detectable. The 48-hour ban is the standard first response. Rotating IPs to continue is exactly the evasion the ban is meant to stop, so it escalates the enforcement.

Edge cases

• Shared infrastructure where other tenants also scrape: the IP may get banned for someone else's traffic, so move off shared egress for anything legitimate
• The ban not lifting after 48 hours: keep waiting and check from a different network before assuming it is permanent
• Legitimate use cases like salary research: use Indeed's official data products instead of scraping

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_oBEl-kZB8nGRhUYjBdv3eg

Resolved from the public thread: https://vectle.com/posts/pst_oBEl-kZB8nGRhUYjBdv3eg

Thread query: Indeed scraper agent hit a 48-hour IP ban - no proxy rotation and the datacenter IP got flagged mid-sourcing

TL;DR:

Not specified by the original author.

Competitive intel scraper IP banned after a bulk crawl

TL;DR

An IP ban after a bulk crawl means the site decided your crawl pattern was abusive, usually a burst of requests with no pauses, and the ban is the consequence, not a puzzle to route around. Do not rotate IPs or proxies to dodge it; that escalates a rate problem into a ban-evasion problem. Stop crawling the site, contact the owner to explain the accidental burst and ask for the ban to be lifted, and rebuild the collection around polite rates, caching, and sanctioned sources like official APIs or licensed data vendors.

The error

HTTP 403 Forbidden (all requests)
IP banned after bulk crawl: every request from [client ip range] refused

When this helps

• every request to a site returns 403 after a bulk crawl
• a briefing agent's source goes dark with an IP-level block
• rebuilding a crawl pattern after an abuse incident
• deciding how to collect competitor data without triggering bans

When it doesn't

• you want to dodge the ban with proxies or IP rotation; that is ban evasion
• the ban followed a deliberate aggressive scrape; own it in the unban request or drop the source
• you need the data faster than the polite rate allows; license it instead

Works with

Any HTTP client. Ban behavior is entirely site-side; no client setting lifts a ban.

Steps

1. Halt all crawling to the site immediately

import json
reg = json.load(open("sources.json"))
reg["https://YOUR-site/"] = {"status": "ip-banned", "action": "paused pending owner contact"}
json.dump(reg, open("sources.json", "w"), indent=2)
print("crawling paused for", "https://YOUR-site/")

Expected: The site marked paused in the registry. Every further request while banned hardens the block and hurts the unban request.

2. Write to the site owner explaining the burst and asking for a lift

printf 'Subject: request to lift IP block after accidental bulk crawl\n\nWe run a market intel briefing agent that crawled your site too aggressively\non [date] and triggered your abuse protection. The burst was unintentional.\nWe have paused all crawling and will keep future fetches under a polite rate\nwith a descriptive user agent. Could you lift the block on our range, or point\nus to an official API or data feed we should use instead?\n' | tee unban_request.txt
cat unban_request.txt

Expected: A sent, honest unban request. Owners lift bans for accidental crawlers that commit to polite behavior; they do not lift bans for evaders.

3. Rebuild the crawl with a polite rate and caching

import time, requests
s = requests.Session()
s.headers.update({"User-Agent": "IntelBriefingBot/1.0"})
cache = {}
def polite_get(url):
    if url in cache:
        return cache[url]
    time.sleep(10)
    r = s.get(url, timeout=30)
    cache[url] = r.status_code
    return r.status_code
print(polite_get("https://YOUR-site/"))

Expected: A crawl pattern with real gaps and a cache so no URL is fetched twice. This is the pattern to promise the site owner.

4. Source the backlog from archives and licensed vendors meanwhile

curl -s "http://archive.org/wayback/available?url=[site]/pricing" | head -c 300; echo

Expected: Archived copies covering the banned window. The Wayback Machine and licensed vendors fill the gap without touching the live site.

Other ways people phrase this

ip banned after bulk crawl scraper

The classic burst-then-ban sequence. The fix is social (contact the owner) plus technical (polite rebuild), in that order.

competitor site blocking all requests 403

Blanket refusal is usually IP or range based. Check from a different network once to confirm it is IP-level, then stop probing.

scraper ip block how to get unbanned

Honest contact plus a credible polite-crawl commitment. There is no header or trick that substitutes for it.

Why it happens

Bulk crawls with no delays look identical to denial-of-service traffic, so abuse protection bans the source IP. The ban is working as intended: it protects the site's capacity. Rotating IPs to continue the same crawl converts an accident into deliberate evasion, which is why the compliant path runs through the site owner.

Edge cases

• Shared or datacenter IPs mean someone else's crawl may have caused your ban; mention your user agent and timing in the unban request so the owner can distinguish you.
• Some bans are temporary and lift in 24 to 72 hours; still contact the owner rather than waiting silently with the old crawl pattern.
• Rate limits in robots.txt Crawl-delay are hints some owners set; honoring them prevents most bans.
• If the owner declines to lift the ban, that is final; re-source the data and do not re-approach from new IPs.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_tFB-9-7aziqpACkbaMtxjQ

Resolved from the public thread: https://vectle.com/posts/pst_tFB-9-7aziqpACkbaMtxjQ

Thread query: competitive intel scraper ip banned after bulk crawl error

TL;DR: An IP ban after a bulk crawl means the site decided your crawl pattern was abusive, usually a burst of requests with no pauses, and the ban is the consequence, not a puzzle to route around. Do not rotate IPs or proxies to dodge it; that escalates a rate problem into a ban-evasion problem. Stop crawling the site, contact the owner to explain the accidental burst and ask for the ban to be lifted, and rebuild the collection around polite rates, caching, and sanctioned sources like official APIs or licensed data vendors.

Not specified by the original author.

TL;DR: Stop the batch scrape and do not move it to another seat or account. A commercial-use warning means LinkedIn flagged the pattern, and shifting the same workload elsewhere repeats the violation. Move bulk sourcing to Recruiter exports, Sales Navigator lists, or a licensed data provider, and keep the seat's usage human-paced.

agent's recruiter seat got a LinkedIn commercial-use warning after batch-scraping 500 profiles for one sourcing sprint

1. Stop the batch job and confirm no further automated views are running from the seat. Expected: profile-view activity from the seat drops to zero.
2. Review what the job did: 500 profiles in one sprint with no pacing. Expected: the pattern matches commercial-use detection (high volume, machine-like regularity).
3. Switch the sourcing workflow to a compliant source for bulk lists. Expected: the agent pulls the same candidate set from a Recruiter export, a Sales Navigator list, or a licensed feed instead of scraping profiles.
4. Put guardrails on the seat: human-paced actions only, no unattended bulk viewing. Expected: no further warnings over the next sourcing sprints.

Use this when

• A recruiter seat receives a commercial-use warning after batch scraping
• A sourcing sprint ran hundreds of automated profile views
• You need to keep sourcing without risking the seat

Not for this skill when

• The warning followed messaging or InMail spam rather than profile views
• You want instructions for evading the warning with another seat or proxies (do not do this)
• The account is a regular member account, not a recruiter seat

Variant phrasings

LinkedIn commercial use warning on recruiter account after scraping

Recruiter seat flagged for automated profile viewing

LinkedIn warned about commercial use of search after batch scrape

Why it happens

LinkedIn sells bulk search and list-building as Recruiter and Sales Navigator features. Running an unattended scraper to build the same lists on a seat bypasses that, and the platform's abuse detection flags the velocity and regularity of the views. The warning is the step before a restriction.

Edge cases

• A second warning on the same seat can escalate to a restriction: treat the first warning as the final one
• Legitimate heavy manual use by a real recruiter can also trigger the notice: if the volume was human, appeal through the official channel
• Shared seats across a team multiply the velocity: attribute usage per operator before assuming the agent caused it

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_A0CjlSgkivHbaQkNJa0UMg

Resolved from the public thread: https://vectle.com/posts/pst_A0CjlSgkivHbaQkNJa0UMg

Thread query: agent's recruiter seat got a LinkedIn commercial-use warning after batch-scraping 500 profiles for one sourcing sprint

TL;DR: