This tutorial shows the automated version: keywords and hashtags in, an evidence-backed creator lead list out — with the source post that found each creator, their public profile facts, contact signals when they publish them, and a clear reason for every qualify/reject decision.
The tool: Instagram Creator Lead Finder on the Apify Store. No Instagram login.
Searching posts is easy. Turning posts into a clean outreach list is the slow part: the same creator appears in many posts, filters reject profiles after you’ve already inspected them, and a high result limit doesn’t mean qualified leads.
This actor combines bounded discovery, creator deduplication, public-profile checks, and transparent qualification in one run. You control the niche, the filters, and the budget.
Use plain text for Reel keyword discovery and a leading # for hashtag discovery.
1–10 searches, one discovery page each — so use several precise searches rather
than one broad one:
{
"searches": [
"specialty coffee",
"#specialtycoffee",
"third wave coffee"
],
"hashtagFeed": "top"
}
hashtagFeed options: top posts, recent posts, or Reels only.
Two ceilings, both under your control:
{
"maxLeads": 10,
"maxProfileLookups": 25
}
maxLeads (1–50) — the maximum qualified creators delivered. A ceiling,
not a guarantee.maxProfileLookups (1–100) — the maximum creator profiles the run may
inspect, including ones later rejected. Must be at least the lead limit.You’re billed per completed profile check — whether the creator passes your filters or not, you get the audit row.
{
"minFollowers": 1000,
"excludePrivateAccounts": true,
"professionalAccountsOnly": false,
"contactRequirement": "none",
"excludeUsernames": []
}
excludeUsernames — up to 10,000 usernames/URLs already in your CRM, so
you never re-pay for creators you already have.Optionally add recent-Reels analysis: sample 1–12 recent Reels per creator and
apply a minimum sampled engagement rate — (avg likes + avg comments) ÷ followers × 100.
Every completed profile check produces an auditable row:
| Evidence | What you get |
|---|---|
| Creator identity | Username, account ID, display name, profile URL, privacy/verification |
| Discovery evidence | The keyword/hashtag that found them, source post URL, caption, timestamp, engagement |
| Profile evidence | Bio, follower/following/post counts, category, public bio links |
| Contact signals | Public email, phone, or bio link — only when the creator publishes them |
| Decision | qualified or rejected + every applied rule in plain language |
Use the qualified-leads view for outreach and the full view to understand where the rest were rejected. Missing values stay missing — the actor never invents contacts or audience estimates.
Pay-per-event: about $2 per 1,000 creator profile checks (Reel-analysis events billed only when completed with a usable sample). New Apify accounts include free platform credit.
Do I need an Instagram login? No — public data only, no login.
Does it find email addresses for everyone? No — only public contact signals a creator chose to publish (bio email/phone/link). No guessed or scraped-private emails.
Why did I get fewer leads than maxLeads? It’s a ceiling, not a guarantee —
qualification filters and your lookup budget both apply. The run summary reports
exactly how many were checked and rejected by which rule.
This tutorial shows the automated version: give it your people and your targets, get back ranked introduction paths — shared employers, overlapping tenure, shared schools — plus the single best connector to ask.
The tool: LinkedIn Warm Path Finder on the Apify Store. No LinkedIn cookies, no login.
The actor takes two lists:
target_urls) or entire companies
(target_company_urls).It then walks the public overlap between the two lists and returns ranked warm paths with the evidence behind each one.
List the LinkedIn profile URLs of your team, your alumni network, your advisors — the people willing to make an introduction for you:
https://www.linkedin.com/in/your-teammate/
https://www.linkedin.com/in/your-alumni-friend/
Either specific people:
{
"connector_urls": [
"https://www.linkedin.com/in/your-teammate/",
"https://www.linkedin.com/in/your-alumni-friend/"
],
"target_urls": [
"https://www.linkedin.com/in/target-buyer/"
]
}
…or whole companies (used when target profile URLs are empty):
{
"connector_urls": [
"https://www.linkedin.com/in/your-teammate/"
],
"target_company_urls": [
"https://www.linkedin.com/company/target-account/"
]
}
Company mode finds paths to people at those companies — useful when you don’t know yet who the right buyer is.
Each result is a ranked warm path: who connects you, to whom, and why the path is real — shared employer, overlapping tenure, shared school. The actor also names the best connector to ask for each target, so you start with the strongest ask instead of guessing.
Typical use:
A warm intro converts several times better than a cold email because the recipient’s trust starts pre-loaded. The expensive part was never the asking — it was the finding. This makes the finding a five-minute job instead of an afternoon of clicking.
Pay-per-event on the Apify platform. New accounts include free platform credit — a typical single-account path-finding run costs cents. See the actor page for current pricing.
Do I need to log in to LinkedIn? No — the actor works from public data without cookies or login.
Does it message anyone? No. It only finds paths; the introduction ask is always made by a human.
What counts as a path? Public, verifiable overlap: shared employers, overlapping tenure, shared schools. It doesn’t infer “they might know each other” from nothing.
]]>This tutorial shows the automated version: export stale profile URLs from your CRM, refresh them in bulk, and import clean, current records back — no LinkedIn login, no cookies, no browser automation.
The tool: LinkedIn Profile Scraper · Fresh · No Cookies on the Apify Store. Paste hundreds or thousands of profile URLs, get structured people records back. Priced at roughly $4 per 1,000 profiles.
Each profile URL returns a structured record:
| Field group | Contents |
|---|---|
| Identity | Name, headline, profile URL, profile ID |
| Current role | Job title, company, company URL, employment type |
| Experience | Full position history — titles, companies, date ranges |
| Education | Schools, degrees, fields of study |
| Skills | Listed skills |
| Location | City/region, country |
| Contact | Public profile facts only — no invented emails |
Missing values stay missing — the actor never guesses a title or company.
Export your contacts with their LinkedIn profile URLs. Most CRMs (HubSpot, Salesforce, Pipedrive, Airtable, even a Google Sheet) can export a CSV with a “LinkedIn URL” column. That column is all you need.
If you’re missing URLs, start from the ones you have — this flow is designed for refreshing known contacts, not discovering new ones.
Open LinkedIn Profile Scraper and paste your URLs — one per row, standard LinkedIn or Sales Navigator links both work. Duplicates are handled automatically.
{
"linkedin_urls": [
"https://www.linkedin.com/in/jane-doe-1234a5b/",
"https://www.linkedin.com/in/john-smith-678c9d/"
]
}
Optionally add enrich_flags for extra data (billed only when a flag returns
data — about $8 per 1,000 flags).
Click Run. A few hundred profiles finish in minutes.
Export the dataset as CSV and map it onto your CRM’s import format:
| Actor output | CRM field |
|---|---|
full_name |
First + last name |
headline |
Description / persona note |
current_title + current_company |
Job title, Company |
location |
Region |
skills |
Tags / segmentation |
The exact field names depend on your CRM’s import template — the actor gives you clean values; your CRM maps them.
Import the CSV into your CRM (most CRMs upsert on email or LinkedIn URL). Spot-check five records against the live profiles. Then schedule it: run the refresh monthly or quarterly and your CRM stops decaying.
current_title/current_company fields to catch champions who changed jobs.Pay-per-event at roughly $4 per 1,000 profiles (enrichment flags extra, billed only on returned data). New Apify accounts include free platform credit.
Do I need LinkedIn Sales Navigator? No — standard public profile URLs work, and Sales Navigator URLs are also accepted.
Is this compliant with my CRM’s terms? You’re importing public profile facts you could read manually; the actor just reads them faster. As always, respect the platforms’ terms and your local privacy law (GDPR etc.) when storing personal data.
What if a profile is gone or private? The actor reports it as unavailable — no row is silently dropped, so you can clean those records deliberately.
]]>This tutorial shows how to turn a list of Instagram post/Reel URLs into structured engagement data in one run — no Instagram login, no browser automation.
The tool:
It runs on Apify — you pay per post checked, not per minute of compute.
Grab the post/Reel URLs (or shortcodes) you care about:
https://www.instagram.com/p/DFxYzAbCdEf/
https://www.instagram.com/reel/DGhIjKlMnOp/
Shortcodes and media IDs work too — paste whatever you have.
Open Instagram Post & Reel Details Scraper and paste your URLs into the bulk input, one per line:
{
"postUrls": [
"https://www.instagram.com/p/DFxYzAbCdEf/",
"https://www.instagram.com/reel/DGhIjKlMnOp/"
]
}
Bulk input is the recommended mode — it keeps the per-post overhead low, which matters when you process hundreds of URLs.
Click Run.
Each URL returns a full record. The analytics-relevant fields:
{
"like_count": 18432,
"comment_count": 214,
"view_count": 412907,
"share_count": 1058,
"save_count": 3961,
"repost_count": 87,
"caption": "…",
"taken_at": "2026-09-21T16:03:00.000Z",
"video_url": "…",
"creator": { "username": "…", "follower_count": 128400 }
}
Notes on the numbers:
repost_count is included — a field Apify’s own Instagram scraper doesn’t return.Export the dataset as CSV/Excel and drop it into your analytics stack, or pull it via the API:
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=json"
Typical analyses:
The actor is pay-per-event — you pay per post checked, not per minute of compute. It has run 1M+ times. New Apify accounts include free platform credit for the first runs.
Do I need an Instagram login? No. The actor works from public data without any login.
Do shares and saves always come back? Only when Instagram exposes them for that post. The actor reports metric availability explicitly per URL, so you always know what’s real and what’s missing.
Can I track the same URLs over time? Yes — schedule the run (Apify supports schedules, or use n8n/Make) and append each export to a sheet to build a time series.
]]>The problem is that most approaches need a logged-in LinkedIn session — which means cookies, session rotation, and account bans. This tutorial shows the cookieless way: one company URL in, structured post data out.
The tool: LinkedIn Company Posts Scraper on the Apify Store. No LinkedIn login, no cookies, no proxy setup — the actor runs on Apify’s infrastructure and returns clean, structured data.
Every run returns one row per company post (or repost) with the fields you actually need:
| Field | What it is |
|---|---|
text |
The full post text |
likes, comments, shares |
Engagement counts |
created_at |
When the post was published |
url |
Direct link to the post |
is_repost |
Whether the company reposted someone else’s content |
author |
Who published it (company or employee) |
attachments |
Images, videos, documents, links |
mentions |
@-mentioned people and companies |
Export as JSON, CSV, or Excel — or pull the dataset through the Apify API.
Open the company’s LinkedIn page and copy the URL from the address bar:
https://www.linkedin.com/company/apify/
Any public company page works. You don’t need to be logged in to LinkedIn, and the company doesn’t need to be in your network.
Open LinkedIn Company Posts Scraper and fill in the two input fields:
{
"linkedin_url": "https://www.linkedin.com/company/apify/",
"maxPages": 5
}
linkedin_url (required) — the company page URL from step 1.maxPages — how many pages of posts to fetch. Pagination is handled
automatically; 5 pages is usually the last several months of posts for an
active page.Click Run. A run typically finishes in a couple of minutes.
When the run finishes, open the Data tab. You get one row per post:
{
"text": "We just released something new...",
"likes": 342,
"comments": 27,
"shares": 12,
"created_at": "2026-09-14T10:22:00.000Z",
"url": "https://www.linkedin.com/posts/apify_something-new-activity-1234",
"is_repost": false,
"author": { "name": "Apify" },
"attachments": [],
"mentions": []
}
Export the whole dataset as JSON, CSV, or Excel from the dataset view, or download it programmatically:
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=json"
The actor is pay-per-event — you pay for the posts actually scraped, not for compute time. New Apify accounts include free platform credit, so your first runs cost nothing out of pocket. See the actor page for the current per-event price.
Do I need a LinkedIn account? No. The actor works without any LinkedIn login or cookies.
Will my IP get flagged? No — the scraping runs on Apify’s infrastructure, not your machine.
Can I scrape multiple companies? Run the actor once per company, or use Apify’s API to chain runs. For a scheduled, multi-company monitor, wire it into n8n or Make with our automation templates.
]]>