Intent Signal Tracker

Buyer intent signal tracking across 5 data sources gives sales teams the intelligence they need to prioritize outreach. This actor monitors target companies for hiring surges, tech stack changes, funding announcements, website content updates, and brand visibility shifts — then returns a composite intent score (0-100) with a recommended action for each company.

Feed in a list of company names and domains. The actor runs 5 sub-actors in parallel to collect signals, scores each company using a weighted algorithm, and classifies them as HOT, WARM, INTERESTED, or COLD. All results are deduplicated and delivered as structured JSON or CSV with no code required. At $0.05 per company, this replaces Clay's Web Intent feature (locked behind their $495/month Growth plan) as a standalone, pay-per-use tool.

What data can you extract with intent signal tracking?

Data Point	Source	Example
Intent score	Composite algorithm	78 (0-100 scale)
Intent level	Score threshold	WARM (HOT/WARM/INTERESTED/COLD)
Hiring velocity	Job market intelligence	23 jobs posted in last 30 days
R&D hiring ratio	Job title + department analysis	42% engineering roles
Senior role count	Seniority detection	7 director/VP-level openings
Technologies detected	Website tech stack scan	34 technologies, 3 new in 30 days
New tech adoptions	First-seen date analysis	["Snowflake", "dbt", "Fivetran"]
Pricing page changes	Website content monitoring	true — pricing page updated
Funding round	Company deep research	Series B — $45M
Leadership changes	Press + company research	2 new C-suite hires
SERP ranking movement	Brand keyword tracking	+4.2 avg position improvement
Recommended action	Intent level + signal analysis	Priority outreach — recent funding detected

Why use Intent Signal Tracker?

Manually tracking buying signals across job boards, technology databases, news sources, and search rankings takes 2-4 hours per company. Most sales teams either skip intent research entirely or pay $495/month or more for tools like Clay, Bombora, or 6sense that bundle intent data behind enterprise contracts.

This actor automates the entire intent signal collection process. You provide company names and domains, and it queries 5 specialized data sources in parallel, scores each company on a 100-point scale, and tells you exactly who to call first. No subscription, no minimum spend, no annual contract.

• Scheduling — run weekly or bi-weekly to track how intent signals change over time for your target accounts
• API access — trigger runs from Python, JavaScript, or any HTTP client to integrate intent scores into your CRM pipeline
• Proxy rotation — underlying sub-actors use Apify's built-in proxy infrastructure for reliable data collection at scale
• Monitoring — get Slack or email alerts when runs complete, so your SDRs act on fresh intent data immediately
• Integrations — connect to Zapier, Make, Google Sheets, HubSpot, or webhooks to route HOT leads directly into your sales workflow

Features

• 5-signal composite scoring — combines hiring velocity (0-25), tech adoption (0-20), content changes (0-20), funding/leadership (0-20), and brand momentum (0-15) into a single 0-100 intent score
• Parallel data collection — all 5 sub-actors run simultaneously per company, reducing total processing time by 4-5x compared to sequential execution
• 4-tier intent classification — HOT (80+), WARM (60-79), INTERESTED (40-59), COLD (below 40) with clear thresholds for sales prioritization
• Context-aware action recommendations — recommended actions vary based on which signals triggered the score (funding-driven vs. hiring-driven vs. content-driven)
• Selective signal tracking — choose which of the 5 signals to collect, letting you optimize for speed or cost when you only need specific data
• Batch processing — analyze up to 50 companies in a single run with automatic input validation and domain normalization
• R&D hiring ratio detection — identifies engineering, research, and developer roles by department and title keywords to measure technical investment
• Senior role identification — detects director, VP, chief, head-of, principal, and lead-level openings as expansion signals
• Pricing page change detection — flags pricing and plans page updates as high-intent buying signals (weighted at 8 of 20 content points)
• New technology detection — identifies technologies added in the last 30 days using first-seen timestamps
• Funding stage weighting — Series C/D/IPO scores higher than Series A/B, reflecting larger budgets and more active procurement
• Spending limit support — set a maximum budget per run and the actor stops processing when your limit is reached
• Summary record — every run outputs a summary with HOT/WARM/INTERESTED/COLD counts and average intent score across all companies

Use cases for buyer intent signal tracking

Sales prospecting and account prioritization

SDRs and BDRs spend hours researching target accounts before outreach. Run this actor against your prospect list weekly to surface which companies are actively hiring, adopting new technology, or receiving funding. Focus your calls on HOT and WARM accounts instead of working the list alphabetically.

Marketing agency lead generation

Agencies tracking client verticals can monitor 50 companies per run and deliver intent reports to their sales teams. A SaaS marketing agency could track every company in their ICP and pitch to those showing pricing page changes or new product launches — signals that indicate active vendor evaluation.

Competitive intelligence monitoring

Track your competitors alongside prospects. A company that just raised a Series B, hired 15 engineers, and updated their pricing page is about to make moves. Schedule weekly runs to catch these shifts early and adjust your strategy before the market reacts.

Account-based marketing (ABM) campaign targeting

ABM teams can feed their target account list into the actor and use intent scores to decide which accounts enter high-touch campaigns (HOT) versus automated nurture sequences (COLD). This replaces manual research and ensures marketing spend goes toward accounts with real buying signals.

Investor deal flow screening

VCs and analysts can monitor portfolio companies or investment targets for growth signals. Rising hiring velocity combined with positive SERP momentum and new tech adoption often precedes a funding round or acquisition — giving investors early signal before public announcements.

How to track buyer intent signals for companies

1. Enter your company list — Provide an array of company objects with companyName and domain fields. Example: [{"companyName": "Acme Corp", "domain": "acmecorp.com"}].
2. Select which signals to track — By default, all 5 signals are collected (hiring, tech stack, content changes, funding, visibility). Deselect signals you do not need to save time and cost.
3. Run the actor — Click "Start" and wait. A single company takes 2-5 minutes. A batch of 10 companies takes approximately 10-15 minutes.
4. Download your intent reports — Export results as JSON, CSV, or Excel from the Dataset tab. Each company gets an intent score, level, signal breakdown, and recommended action.

Input parameters

Parameter	Type	Required	Default	Description
companies	array	Yes	—	List of companies to analyze. Each entry must have companyName and domain (e.g., stripe.com).
signals	string[]	No	All 5 signals	Which intent signals to collect: hiring, techStack, contentChanges, funding, visibility.
maxCompanies	integer	No	10	Maximum number of companies to process per run. Range: 1-50.

Input examples

Single company — full intent analysis:

{
    "companies": [
        { "companyName": "Acme Corp", "domain": "acmecorp.com" }
    ]
}

Batch of target accounts — all signals:

{
    "companies": [
        { "companyName": "Pinnacle Industries", "domain": "pinnacleindustries.com" },
        { "companyName": "Meridian Software", "domain": "meridiansoftware.io" },
        { "companyName": "Atlas Logistics", "domain": "atlaslogistics.com" },
        { "companyName": "Vanguard Analytics", "domain": "vanguardanalytics.co" },
        { "companyName": "Northstar SaaS", "domain": "northstarsaas.com" }
    ],
    "maxCompanies": 5
}

Quick hiring-only scan — cost-optimized:

{
    "companies": [
        { "companyName": "Beacon Health", "domain": "beaconhealth.com" },
        { "companyName": "Summit Financial", "domain": "summitfinancial.com" }
    ],
    "signals": ["hiring", "funding"],
    "maxCompanies": 2
}

Input tips

• Start with all 5 signals — the default settings give you the most complete intent picture. Drop signals only after you know which matter most for your ICP.
• Batch companies in one run — processing 20 companies in a single run is faster and cheaper than 20 separate runs due to reduced startup overhead.
• Use maxCompanies for cost control — set this to a lower number while testing, then increase once you have validated your company list.
• Clean your domains — the actor strips https:// and trailing slashes automatically, but providing bare domains (e.g., acmecorp.com) avoids ambiguity.
• Track only hiring and funding for quick screens — these two signals carry the most weight (25 + 20 = 45 points) and run the fastest.

Output example

{
    "type": "intent-report",
    "companyName": "Pinnacle Industries",
    "domain": "pinnacleindustries.com",
    "intentScore": 74,
    "intentLevel": "WARM",
    "scoreBreakdown": {
        "hiringVelocity": 18,
        "techAdoption": 14,
        "contentChanges": 16,
        "fundingLeadership": 15,
        "brandMomentum": 11,
        "total": 74
    },
    "signals": {
        "hiring": {
            "jobCount": 37,
            "recentJobCount": 23,
            "rdRatio": 42,
            "seniorRoles": 5,
            "topDepartments": ["Engineering", "Sales", "Product"]
        },
        "techStack": {
            "technologiesDetected": 34,
            "newTechnologies": ["Snowflake", "dbt", "Fivetran"],
            "categoryBreakdown": {
                "Analytics": 8,
                "Cloud": 6,
                "Marketing": 5,
                "Development": 9,
                "Security": 4,
                "Other": 2
            }
        },
        "contentChanges": {
            "pagesChanged": 12,
            "pricingChanged": true,
            "productPagesAdded": 3,
            "teamPageChanges": 2
        },
        "funding": {
            "recentFunding": true,
            "fundingRound": "Series B",
            "fundingAmount": 45000000,
            "leadershipChanges": 2,
            "pressMentions": 8
        },
        "visibility": {
            "keywordsTracked": 3,
            "averagePositionChange": 4.2,
            "rankingImprovements": 2,
            "rankingDeclines": 0
        }
    },
    "recommendedAction": "Follow up this week — pricing or product page changes suggest active evaluation.",
    "signalsTracked": ["hiring", "techStack", "contentChanges", "funding", "visibility"],
    "extractedAt": "2026-03-24T14:32:18.000Z"
}

Output fields

Field	Type	Description
type	string	Record type: intent-report for company results, summary for the batch summary
companyName	string	Company name as provided in input
domain	string	Normalized company domain
intentScore	integer	Composite intent score from 0 to 100
intentLevel	string	Classification: HOT (80+), WARM (60-79), INTERESTED (40-59), COLD (below 40)
scoreBreakdown.hiringVelocity	integer	Hiring signal score (0-25)
scoreBreakdown.techAdoption	integer	Tech stack signal score (0-20)
scoreBreakdown.contentChanges	integer	Content change signal score (0-20)
scoreBreakdown.fundingLeadership	integer	Funding and leadership signal score (0-20)
scoreBreakdown.brandMomentum	integer	Brand visibility signal score (0-15)
scoreBreakdown.total	integer	Sum of all signal scores (0-100)
signals.hiring	object/null	Job count, recent jobs, R&D ratio, senior roles, top departments
signals.techStack	object/null	Technologies detected, new tech list, category breakdown
signals.contentChanges	object/null	Pages changed, pricing page flag, new product pages, team page changes
signals.funding	object/null	Funding round, amount, leadership changes, press mentions
signals.visibility	object/null	Keywords tracked, avg position change, ranking improvements/declines
recommendedAction	string	Suggested next step based on intent level and dominant signal
signalsTracked	string[]	Which signals were collected for this company
extractedAt	string	ISO 8601 timestamp of when the report was generated

How much does it cost to track buyer intent signals?

Intent Signal Tracker uses pay-per-event pricing — you pay $0.05 per company tracked. Platform compute costs are included.

Scenario	Companies	Cost per company	Total cost
Quick test	1	$0.05	$0.05
Small batch	10	$0.05	$0.50
Medium batch	25	$0.05	$1.25
Large batch	50	$0.05	$2.50
Weekly monitoring (50/week)	200/month	$0.05	$10.00

You can set a maximum spending limit per run to control costs. The actor stops processing companies when your budget is reached, and all data collected up to that point is saved.

Compare this to Clay at $495/month (Web Intent is Growth-plan only), Bombora at $25,000+/year, or 6sense at $50,000+/year. With Intent Signal Tracker, most sales teams spend $5-20/month tracking 100-400 companies with no subscription commitment.

Track buyer intent signals using the API

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("ryanclinton/intent-signal-tracker").call(run_input={
    "companies": [
        {"companyName": "Pinnacle Industries", "domain": "pinnacleindustries.com"},
        {"companyName": "Meridian Software", "domain": "meridiansoftware.io"},
    ],
    "signals": ["hiring", "techStack", "contentChanges", "funding", "visibility"],
    "maxCompanies": 10,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    if item.get("type") == "intent-report":
        print(f"{item['companyName']}: {item['intentScore']}/100 ({item['intentLevel']}) — {item['recommendedAction']}")

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_API_TOKEN" });

const run = await client.actor("ryanclinton/intent-signal-tracker").call({
    companies: [
        { companyName: "Pinnacle Industries", domain: "pinnacleindustries.com" },
        { companyName: "Meridian Software", domain: "meridiansoftware.io" },
    ],
    signals: ["hiring", "techStack", "contentChanges", "funding", "visibility"],
    maxCompanies: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) {
    if (item.type === "intent-report") {
        console.log(`${item.companyName}: ${item.intentScore}/100 (${item.intentLevel}) — ${item.recommendedAction}`);
    }
}

cURL

# Start the actor run
curl -X POST "https://api.apify.com/v2/acts/ryanclinton~intent-signal-tracker/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "companies": [
        {"companyName": "Pinnacle Industries", "domain": "pinnacleindustries.com"}
    ],
    "signals": ["hiring", "techStack", "contentChanges", "funding", "visibility"],
    "maxCompanies": 10
  }'

# Fetch results (replace DATASET_ID from the run response)
curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_API_TOKEN&format=json"

How Intent Signal Tracker works

Signal collection phase

The actor takes each company and dispatches 5 sub-actors in parallel using Actor.call(). Each sub-actor specializes in a different signal type:

• Job Market Intelligence — queries job posting data for the company name and domain, returning up to 50 job listings with titles, departments, seniority levels, and posting dates.
• Website Tech Stack Detector — scans the company's website to identify technologies in use, including first-seen dates that reveal recent adoptions.
• Website Change Monitor — checks the company's website for content changes, with detection for pricing pages, product pages, and team/about pages.
• Company Deep Research — queries financial and press data for funding rounds, amounts, leadership changes, and press mention volume.
• SERP Rank Tracker — tracks the company's brand keywords (company name, "[company] pricing", "[company] alternative") to measure visibility trends.

Each sub-actor has a 300-second timeout. If a sub-actor fails, the actor continues with empty data for that signal rather than failing the entire run.

Scoring algorithm

Each signal category has its own scoring function with a defined maximum:

Hiring velocity (0-25): Base score from total job count (up to 10 points at 50+ jobs), recent posting activity in the last 30 days (up to 8 points), R&D hiring ratio (4 points if 40%+ of roles are engineering/research), and senior-level openings (up to 3 points for director/VP/chief roles).

Tech adoption (0-20): Stack breadth (up to 8 points based on total technologies), new technology adoption in the last 30 days (up to 8 points, 2 points per new tech), and category diversity (up to 4 points for technologies spread across multiple categories).

Content changes (0-20): Pricing page changes carry the highest weight at 8 points. New product pages contribute up to 6 points. Team and about page changes add up to 3 points. General page churn adds up to 3 points.

Funding/leadership (0-20): A funding announcement scores 6 base points plus a stage bonus (Series C/D/IPO: +4, Series B: +3, Series A: +2, Seed: +1). Leadership changes add up to 5 points. Press mentions add up to 5 points.

Brand momentum (0-15): Keywords ranking in the top 10 contribute up to 5 points. Net ranking improvements add up to 6 points. Average position improvement adds up to 4 points.

Classification and recommendations

The total score maps to four intent levels: HOT (80+), WARM (60-79), INTERESTED (40-59), COLD (below 40). The recommended action varies based on both the level and which signals drove the score. A HOT company with strong funding signals gets "Priority outreach — recent funding detected. Reach out to new decision makers immediately." A WARM company with content changes gets "Follow up this week — pricing or product page changes suggest active evaluation."

Batch processing and output

Companies are processed sequentially with parallel signal collection within each company. After all companies are processed, the actor appends a summary record with aggregate counts (HOT, WARM, INTERESTED, COLD) and the average intent score across the batch. Pay-per-event charges occur after each successful company push, and the actor respects spending limits by stopping when the budget is reached.

Tips for best results

1. Run weekly for account monitoring. Intent signals change fast. A company that was COLD last month may be WARM after a funding announcement or hiring surge. Schedule weekly runs against your top 50 target accounts.

2. Prioritize by intent level, not just score. A company scoring 62 (WARM) with recent funding is a better outreach target than one scoring 74 (WARM) with only hiring signals. Check the scoreBreakdown to understand why each company scored the way it did.

3. Combine hiring and funding signals for highest accuracy. These two signal types have the strongest correlation with actual purchasing behavior. A company simultaneously hiring engineers and announcing a Series B is almost certainly about to increase vendor spend.

4. Use selective signals for faster, cheaper scans. If you only care about hiring and funding, pass ["hiring", "funding"] as your signals array. This skips 3 sub-actors, reducing both time and the data collection overhead.

5. Export to Google Sheets for team sharing. Use the Google Sheets integration to push results into a shared spreadsheet that your SDR team can work from directly. Filter by intent level to assign accounts.

6. Pipe HOT leads into HubSpot automatically. Connect the HubSpot Lead Pusher to push HOT-scored companies directly into your CRM as new deals or contacts.

7. Validate cold results before discarding. A COLD score may mean the company is genuinely inactive, or it may mean the sub-actors could not find data for that domain. Check the signals object — if most values are null or zero, the company may need manual research.

Combine with other Apify actors

Actor	How to combine
Website Contact Scraper	After identifying HOT companies, scrape their websites for email addresses and phone numbers to fuel outreach
Email Pattern Finder	Detect email naming patterns (e.g., first.last@domain.com) for HOT-scored companies, then generate contact emails
Google Maps Email Extractor	Find local business contacts for companies identified as WARM or HOT in the intent report
B2B Lead Gen Suite	Run the full lead generation pipeline on HOT companies — from intent scoring to contact enrichment in one workflow
Bulk Email Verifier	Verify email addresses found for high-intent companies before sending outreach campaigns
HubSpot Lead Pusher	Automatically push HOT and WARM companies into HubSpot as new contacts or deals
Company Deep Research	Get comprehensive intelligence reports on your highest-intent accounts before outreach

Limitations

• Sequential company processing — while signals for each company are collected in parallel, companies themselves are processed one at a time. A 50-company batch may take 30-60 minutes.
• Sub-actor timeouts — each sub-actor has a 300-second timeout. If a data source is slow or unavailable, that signal returns empty data rather than blocking the run.
• Maximum 50 companies per run — the maxCompanies parameter caps at 50 to prevent excessively long runs. For larger lists, split into multiple runs.
• Signal freshness varies by source — hiring data reflects current job postings, but tech stack and content changes depend on when the underlying sub-actors last detected changes.
• No historical trend tracking — each run provides a point-in-time snapshot. To track trends, schedule recurring runs and compare scores over time in an external database or spreadsheet.
• Domain accuracy matters — the actor normalizes domains by stripping protocols and trailing slashes, but providing an incorrect domain will produce empty or misleading results.
• No JavaScript rendering — the underlying tech stack detector and content change monitor use HTTP-based parsing. For single-page applications, signals from these two sources may be incomplete.
• Funding data depends on public sources — private companies that do not announce funding rounds will score lower on the funding signal regardless of their actual financial activity.

Integrations

• Zapier — trigger intent scans when new prospects are added to your CRM, or push HOT leads to Slack channels
• Make — build multi-step workflows that score intent, enrich contacts, and send personalized outreach sequences
• Google Sheets — export intent reports to a shared spreadsheet for SDR team account assignment
• Apify API — integrate intent scoring directly into your sales pipeline or internal tools via REST API
• Webhooks — get notified when a run completes so your team can act on fresh intent data immediately
• LangChain / LlamaIndex — feed intent reports into AI agents that generate personalized outreach messaging based on each company's specific signals

Troubleshooting

• All signal scores are zero for a company — this typically means the sub-actors could not find data for that domain. Verify the domain is correct and the company has a public web presence. Private or very small companies may not have enough public data for scoring.
• Run taking longer than expected — each company requires 5 parallel sub-actor runs with up to 300 seconds each. A 50-company batch can take 30-60 minutes. Reduce the number of tracked signals or companies for faster results.
• Some signals return null — if you did not include a signal in the signals array, its value will be null in the output. This is expected behavior, not an error.
• Spending limit reached before all companies processed — the actor stops and saves all data collected so far. Increase your spending limit or reduce the company list to process all entries.
• Inconsistent scores across runs — intent signals are inherently dynamic. Job postings appear and expire, funding announcements happen between runs, and SERP rankings fluctuate daily. This is expected behavior reflecting real market changes.

Responsible use

• This actor only accesses publicly available business information across job boards, websites, search results, and press sources.
• Respect website terms of service and robots.txt directives.
• Comply with GDPR, CAN-SPAM, and other applicable data protection laws when using intent data for outreach.
• Do not use extracted data for spam, harassment, or unauthorized purposes.
• For guidance on web scraping legality, see Apify's guide.

FAQ

How many companies can I track with Intent Signal Tracker in one run? You can track up to 50 companies per run using the maxCompanies parameter. For larger lists, split them into multiple runs. Each company is charged separately at $0.05.

What intent signals does the tracker monitor? The actor tracks 5 signal types: hiring velocity (job postings, R&D ratio, senior roles), tech stack changes (new technology adoptions), website content changes (pricing pages, product pages), funding and leadership (rounds, C-suite changes, press), and brand visibility (SERP ranking movement).

How accurate is the intent scoring algorithm? The scoring model uses a weighted 100-point scale derived from 5 independent data sources. Accuracy depends on the availability of public data for each company. Large companies with active hiring and public funding announcements produce the most accurate scores. Smaller private companies may score artificially low due to limited public data.

How is Intent Signal Tracker different from Clay Web Intent? Clay's Web Intent feature is locked behind their Growth plan at $495/month and bundles intent data with their full platform. Intent Signal Tracker provides the same 5-signal intent analysis as a standalone tool at $0.05 per company — no subscription, no platform lock-in, and full API access.

Can I schedule Intent Signal Tracker to run automatically? Yes. Use Apify's built-in scheduler to run the actor daily, weekly, or at custom intervals. Weekly runs are recommended for most account-based sales workflows to catch signal changes while keeping costs under $10/month for 50 accounts.

How long does a typical intent signal tracking run take? A single company takes 2-5 minutes. A batch of 10 companies takes approximately 10-15 minutes. A full 50-company batch may take 30-60 minutes depending on sub-actor response times.

Can I track only specific intent signals to reduce cost? Yes. While the per-company price remains $0.05 regardless of which signals you select, tracking fewer signals reduces run time. Pass only the signals you need in the signals array (e.g., ["hiring", "funding"] for a fast screen).

What does the recommended action tell me? The recommended action is generated based on the intent level and which signals contributed most to the score. HOT companies get "Priority outreach" with context about the dominant signal (funding, hiring, etc.). WARM companies get "Follow up this week." INTERESTED companies are flagged for nurture sequences. COLD companies should be monitored monthly.

Is it legal to track buyer intent signals from public sources? Intent Signal Tracker only accesses publicly available data: job postings, public websites, search results, and press mentions. This is equivalent to manual research done by any sales team. Always comply with local data protection laws when using the data for outreach.

Can I use intent signal data with my CRM? Yes. Export results as JSON or CSV and import into any CRM. For HubSpot, use the HubSpot Lead Pusher to push leads directly. For Salesforce or other CRMs, use the Zapier or Make integrations.

What happens if a sub-actor fails during signal collection? The actor handles sub-actor failures gracefully. If one data source is unavailable, that signal returns empty data and the remaining signals are still collected and scored. The intent score will be lower but the report will still be generated.

How does Intent Signal Tracker compare to Bombora or 6sense? Bombora and 6sense charge $25,000-100,000+ per year for enterprise intent data platforms. They use proprietary intent signals (content consumption, ad interactions) that this actor does not replicate. However, for publicly observable signals — hiring, funding, tech adoption, website changes, SERP movement — Intent Signal Tracker provides comparable data at $0.05 per company with no contract.

Help us improve

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1. Go to Account Settings > Privacy
2. Enable Share runs with public Actor creators

This lets us see your run details when something goes wrong, so we can fix issues faster. Your data is only visible to the actor developer, not publicly.

Support

Found a bug or have a feature request? Open an issue in the Issues tab on this actor's page. For custom solutions or enterprise integrations, reach out through the Apify platform.