X (Twitter) Jobs Scraper | $0.00015/Job | Pay-Per-Result

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Watch how Framer uses Xquik scrapers with Claude Code, Codex, Cursor & more, from 6:07.

Xquik is the world's fastest & cheapest X (Twitter) scraper service with the most complete X data. Xquik's X Jobs Scraper collects job listings posted on X, with salaries, apply links & full descriptions. Most other Apify Actors charge before filtering or deduplicating. Xquik charges only for delivered, unique, filter-matching results.

Search X jobs by keyword, place, workplace type, seniority & company in 1 run. You pay $0.00015 per delivered row, & Apify bills platform usage separately. You need no X API key or login.

Xquik is an independent third-party service. Not affiliated with X Corp. "Twitter" and "X" are trademarks of X Corp.

Searches & job data

• Many search terms in 1 run, read concurrently.
• Filters for place, workplace type, seniority, employment type & company.
• Job URLs & job IDs read as full listings.
• Job locations by name, each with the ID that locationId takes.
• Title, salary range, currency, apply link, location & hiring account.
• Full descriptions as plain text & Markdown on every row.
• Search attribution on every row.
• Duplicate removal across searches before billing.
• JSON, CSV, Excel, XML & RSS exports through Apify datasets.
• Runs resume from saved state after an Apify migration.

How to scrape X jobs

New to Apify? Create a free account first. The free plan needs no credit card & gives $5 to spend each month. At $0.00015 per job, $5 pays for up to 33,000 jobs before platform usage. Then come back here & press Try for free.

1. Open Xquik's X Jobs Scraper in Apify Console.
2. Enter job titles or skills in searchTerms, or job URLs in startUrls.
3. Narrow the search with location, locationType, seniority or company.
4. Set maxItems to cap delivered rows, then click Start.
5. Download the dataset as JSON, CSV or Excel, or use the Apify API.

startUrls takes each URL as a plain string or as a { "url": "..." } object.

{
  "startUrls": [
    "https://x.com/i/jobs/1899202395210649861",
    { "url": "https://x.com/i/jobs/1899202395210649861" }
  ]
}

Input

Search by keyword with filters.

{
  "searchTerms": ["software engineer", "data scientist"],
  "location": "Berlin",
  "locationType": ["remote", "hybrid"],
  "seniority": ["senior", "lead"],
  "maxItems": 200
}

locationType takes onsite, remote & hybrid. seniority takes intern, entry_level, junior, mid_level, senior, lead, manager & executive. employmentType takes full_time, full_time_contract, part_time & contract_to_hire. Each filter keeps jobs that match any value you choose.

Read known jobs by URL or ID.

{
  "startUrls": [{ "url": "https://x.com/i/jobs/1899202395210649861" }],
  "jobIds": ["1828221151962898435"]
}

location takes a place name. locationId pins 1 exact place instead, such as New York City rather than West New York.

Find place IDs by name. A run with locationSearchTerms lists places instead of jobs.

{ "locationSearchTerms": ["New York"], "maxItems": 20 }

Small runs that go well skip run-report & save Apify usage. Turn on alwaysSaveRunRecords to write it on every run.

Output

Each job is 1 dataset row with id, title, url, applyUrl, location, the salary fields & account. Each row also carries description, descriptionMarkdown, locationType, employmentType, seniorityLevel, jobFunction, team, postedAt & company. Set includeDetails to false for a faster run with the list fields only. Rows from job URLs always carry the full listing. Missing source fields stay absent. Xquik's X Jobs Scraper invents no values.

Examples use sample values. Results reflect live data. A job row looks like this.

{
  "id": "1899202395210649861",
  "title": "Engineer",
  "url": "https://x.com/i/jobs/1899202395210649861",
  "applyUrl": "https://example.com/careers/engineer",
  "location": "United States",
  "locationType": "remote",
  "employmentType": "full_time",
  "seniorityLevel": "lead",
  "formattedSalary": "Starting at $225K",
  "salaryMin": 225000,
  "salaryCurrencyCode": "USD",
  "salaryInterval": "annually",
  "account": { "username": "example", "verified": true },
  "sourceTarget": "software engineer",
  "resultType": "job"
}

Each job location is 1 row with the id that locationId takes.

{
  "id": "1720462281920696805",
  "name": "New York City, NY",
  "sourceTarget": "New York",
  "resultType": "jobLocation"
}

Output columns

8 inputs shape each row after the run reads it. They run no code & change no price.

Field	What it does
fields	Keep only these fields, in the order & spelling you write
omitFields	Drop these fields & keep the rest
renameFields	Move a field to a column with a new name
flatten	Turn each nested object into top-level columns
fillMissingFields	Fill a kept field a row lacks with null. On by default
joinFields	Turn each of these lists into 1 text value
joinSeparator	Text between joined items. The default is a comma & a space
constantFields	Add a column with the same text on every row

• Use a dot for a field inside an object. Case & underscores do not matter.
• Every row keeps its id.
• With fields, a field a row lacks arrives as null. Every row then has the same columns.
• A wrong field name stops the run before it reads & charges nothing.
• If names cannot be checked, the run reads on & lists unseen names last.
• The run ignores a map function or jq filter written for another Actor.

How much does it cost to scrape X jobs?

Every Apify plan costs $0.00015 per delivered row. Apify bills your platform usage separately.

For more volume, pick an Apify plan with more prepaid usage.

• One charge per delivered data row. Diagnostics are free in diagnostics.
• No start, search or job URL fee.
• Full descriptions cost nothing extra.
• Deduplication runs before billing.
• Apify maximum-total-charge settings cap delivered rows.

Limits & recovery

Xquik's X Jobs Scraper reads many searches & job URLs in 1 run. Delivered rows & progress survive an Apify restart. The Actor adds no time limit of its own. It respects any Apify timeout you set.

Interrupted extraction writes a free partial diagnostic. Available results stay intact. Read availableResults, failedTargets, retryable & nextAction before you retry. A successful Actor exit confirms delivery, not complete extraction.

The run status names every cause of an early stop. stopCauses lists each cause with its own message, retryable & nextAction. The causes are target_not_found, target_failed, pagination_safety_limit & deadline_reached. A missing target joins the list only when another cause stopped the run. The run is retryable when any cause is.

Related Xquik Actors

Every Xquik Actor shares the same extraction engine, filter-first billing & diagnostics. Pick the one that matches the data you need.

• X Tweet Scraper scrapes tweets from searches, profile timelines, Lists & tweet IDs with 50+ filters & flat exports. Use it when you need tweet data without analysis. From $0.00015 per row.
• X Profile Scraper scrapes profiles plus their posts, replies, media & followers from handles, IDs or URLs. Use it when you start from accounts rather than searches. From $0.00015 per row.
• X Reply Scraper scrapes replies, comments & whole conversations under posts with 25+ filters. Use it when you need the discussion beneath tweets. From $0.00015 per row.
• X Engagement Scraper scrapes replies, quotes, retweeters & threads for post URLs or IDs in bulk. Use it when you measure who engaged with posts. From $0.00015 per row.
• X Quote Tweets Scraper scrapes the quote tweets of posts with text, media, counts, authors & 11 filters. Use it when you study who quoted posts & what they said. From $0.00015 per tweet.
• X Follower Scraper scrapes followers, following, List members, subscribers & Community members as profile rows. Use it when you need audience or member lists. From $0.00015 per profile.
• X User Search Scraper searches users by handle, bio & location with follower, verification, age & location filters. Use it when you build account lists from search. From $0.00015 per profile.
• X Account Location Scraper checks where accounts are based with X's "Account based in" label, "connected via" & username changes. Use it when you vet where accounts are based. From $0.00015 per account.
• X Email Scraper gets the emails, phones & links accounts publish on their profiles, from handles, followers or user searches. Use it when you need the emails profiles publish. From $0.00015 per profile.
• X List Scraper scrapes List posts, members & followers from List URLs or IDs. Use it when a curated List defines your sources. From $0.00015 per row.
• X Community Scraper scrapes Community info, posts, searches, members & moderators. Use it when your sources are X Communities. From $0.00015 per row.
• X Space Scraper finds Spaces by keyword & reads their titles, states, times, listener counts, hosts & speakers. It also reads broadcasts by URL or ID. Use it when you track live audio & video on X. From $0.00015 per Space or broadcast.
• X Trends Scraper scrapes real-time trends by location with rank, volume, query & WOEID. Use it when you track what is trending where. From $0.00015 per trend.
• X Article Scraper scrapes long-form X Articles as Markdown & text with covers, authors, dates & metrics. Use it when you need article bodies, not tweets. From $0.00015 per article.
• X Media Downloader extracts or stores photos, videos & GIFs from posts or profiles with MP4 & metadata options. Use it when you need the media files themselves. From $0.00015 per media row.
• X (Twitter) Brand Monitoring with AI Analysis tracks brand mentions with AI relevance, sentiment & customer-experience answers & compares runs. Use it when you watch a brand over time. From $0.0003 per analyzed tweet.
• X Tweet Sentiment Analysis with AI labels attitude, intensity & sarcasm probability for every tweet with AI. Use it when you need general sentiment on any topic. From $0.0003 per analyzed tweet.
• X (Twitter) Stock & Crypto AI Trading Signals labels bullish, bearish, neutral or mixed stance, content type, conviction & asset relevance with AI. Use it when you follow stocks, crypto or trading talk. From $0.0003 per analyzed tweet.
• X (Twitter) News Monitor with AI Analysis labels news posts by format, source attribution & topic relevance with AI. Use it when you separate reporting from commentary. From $0.0003 per analyzed tweet.
• X Tweet Classifier with AI Analysis answers your own category, score & yes/no questions for every tweet with AI. Use it when the preset analyses do not fit your labels. From $0.0003 per analyzed tweet.
• X Tweet Viral Score Analyzer with AI estimates a Viral Score from 0 to 100 & a verdict for every tweet from 8 AI trait answers. Use it when you study why tweets spread or flop. From $0.0003 per analyzed tweet.

FAQ

Answers to common questions, then where to get help.

Do I need an X API key or login?

No. Xquik's X Jobs Scraper needs no X API key, login or credentials.

Is it legal to scrape X jobs?

Xquik's X Jobs Scraper requests public X fields. Results can contain personal data. Confirm a lawful purpose & follow applicable privacy rules. Ask qualified counsel when uncertain.

Why did my run return no results?

Read the run status first. An empty run's status says to check your search terms & filters. The free diagnostics output appears when something needs attention. Its stopCauses gives each cause a nextAction to follow. A filter value the Actor does not know stops the run before any charge & names the values to use.

Can I use the API, schedules & integrations?

Yes. Use the Apify API or the Xquik REST API. The API tab has Python, JavaScript & cURL examples. Apify schedules run Xquik's X Jobs Scraper on a cron. Agents use Apify MCP. Use latest unless you need an older build.

Where do I get help?

Open an issue in the Issues tab with the run ID. Free diagnostics in the key-value store explain runs that need attention. A run that gets no row back says why in its status.

Can I get a custom solution?

Yes. Describe what you need in the Issues tab. Xquik also offers a dashboard, a REST API, an MCP server & webhooks. Find Xquik's website on its Apify profile.