13 tools do this job
Search job postings by title, keyword, company or location and get them back as rows, for hiring signals, market research or a job board of your own. 13 tools answer through 鹦鹉AI on two shelves: LinkedIn job search and company level openings from the firmographic databases, each at its own rate. Two things this page will not pretend: there is no Indeed tool in the catalog, so the 720 people a month searching for an Indeed API will not find one here, and no tool here removes duplicates, ghost jobs or stale dates. The postings arrive as the platform shows them.
Billed per call, for what you use. No card required.
12 of the 13 tools that answer this job are live-verified against their upstream.
Try it
1 · Set your agent up, once
set up 鹦鹉AI — https://parrot.amorist.cn/llms.txt
2 · Then ask for the job
Using 鹦鹉AI, find every posting for a data engineer in Berlin published in the last week, show me the price per 100 postings from each tool first, cap the run at 500 rows, then give me a table of company, title, date posted and link, deduped on the posting URL, and say how many rows came back.
The LinkedIn tools take a keyword and a location; the company tools take a company or a filter. Say which you have.
A broad search returns thousands of postings, so a maxItems cap is the difference between one credit and a hundred credits.
The date posted is the field nobody trusts and the link is the one that lets you check. Both belong on the table.
The same job is reposted, cross-posted and recycled. No tool here dedupes for you; the agent has to.
Why 鹦鹉AI
Charged per call. No card, no minimum; top up the prepaid balance.
Another tool is a different word in the prompt, not a new integration.
From the field
Of the ~210 Reddit and X posts read in August 2026 roughly half were on the job, the densest corpus behind any of these pages, and five promotional clusters were excluded, including one launch story reposted to three subreddits with the AI tool's name swapped each time. These five are people fighting the boards.
“Since when did Indeed start injecting invisible fake job cards as a scraper honeypot?”
X, 189 likes
What this page can do about it:Which is why there is no Indeed tool here and this page says so in its first paragraph. The LinkedIn tools exist because a tool absorbs that fight on its side; on Indeed nobody in the catalog does.
“I hate LinkedIn and Indeed. Filters don't work well, search experience is terrible, and the sites are contaminated with so many offshore agencies.”
r/findapath, 745 points
What this page can do about it:Rows fix the filter half: once the postings are data, your agent filters them by whatever rule you like. The contamination half arrives with the data, and the agent is the filter for that too.
“Not being able to trust the date posted of any job. Being shown too many irrelevant jobs.”
r/leetcode, 401 points
What this page can do about it:No tool here fixes the date; it returns what the platform shows. What a daily pull gives you is your own first seen date, which is the only one you can trust.
“Half are gone by day 28, and almost all of that drop happens in a single week.”
r/jobsearchhacks, 376 points
What this page can do about it:That poster tracked over a million postings a day to learn it, and the method is the point: a repeated pull is what turns postings into a signal. The tools here make the pull cheap; the tracking is the agent's job.
“Everyone in this community is bragging about AI-powered automations or seemingly simple workflows that call overpriced APIs to parse a page.”
r/n8n, 307 points
What this page can do about it:Fair, and per-call pricing is the answer to overpriced rather than to free. The self written scraper wins until LinkedIn changes something; the tool wins the day after.
The detail
Set maxItems on every call and read the run's usage afterwards; a broad search can return thousands of postings.
The date posted is the platform's date, which the research says is the field people trust least. TikHub's LinkedIn job search has not been called live through 鹦鹉AI yet and carries no verified date; run one search before an agent runs a hundred.
Background
It is a call that searches job postings and returns them as structured rows: title, company, location, date, description, link. The boards themselves mostly do not offer one to the public any more, which is why the searches for an Indeed API keep landing on scrapers. The tools here come in two shapes. The LinkedIn shelf searches LinkedIn's postings by keyword and location and returns the postings, priced per posting or per call. The companies shelf comes from the firmographic databases, which index job openings per company as a hiring signal, so the natural question there is which companies are hiring for what, rather than which jobs match a title.
Questions
No. Indeed closed its publisher API and the catalog carries no Indeed tool, scraped or official. The LinkedIn tools are the closest thing here, and the company tools answer a different question: who is hiring, not which jobs match a title.
Yes, as many as the platform shows. No tool here dedupes across reposts or checks that a posting is real, and this page will not claim otherwise. Dedupe on the posting URL in the agent, and treat the date posted as the platform's claim.
The prompt caps the run, so ask the agent to print the price for your cap on every tool before it runs.
That is what the companies shelf is for. PredictLeads, Crustdata and LeadMagic index openings per company, so an agent can ask which of your two hundred target accounts opened an engineering role this month, without searching a board at all.
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